Journal Publications (Scopus; Web of Science)

List of Journal Publications (Year-wise)

Year-2023

  1. Kumar Avinash, Marwaha Sanjay, Manna Singh Manpreet, 2023.  Torque Ripple Mitigation of Switched Reluctance Motor for Water Pumping Applications at Off-Grid Locations,  Journal of Engineering Science and  Technology (JESTEC), Volume 18, Issue 1, pp. 147-166. DOI:https://jestec.taylors.edu.my/Vol%2018%20Issue%201%20February%20%202023/18_1_11.pdf
  2. Rupam, Marwaha Sanjay and Marwaha Anupma, 2023. Finite Element Based Parametric Analysis of PMSM for Electric Vehicle Applications, Journal of Engineering Science and  Technology (JESTEC), Volume 18, Issue 1, DOI:https://jestec.taylors.edu.my/Vol%2018%20Issue%201%20February%20%202023/18_1_48.pdf
  3. Rani Surekha, Marwaha Anupma, Marwaha Sanjay, Singla Alka, 2023. Utilization of Geometry Inspired Array Absorbers for Electromagnetic Device Testing, International Nano Letters, DOI:https://link.springer.com/article/10.1007/s40089-023-00394-4
  4. Singla Alka, Marwaha Anupma, Marwaha Sanjay, 2023. Multi-Stacked and Nitrogen Doped Graphene Layers for icrowave Hyperthermia Treatment Planning with Least Exposure Time, Journal of Engineering Science and  Technology (JESTEC), DOI:https://jestec.taylors.edu.my/Vol%2018%20Issue%204%20August%202023/18_4_11.pdf
  5. Singla Alka, Marwaha Anupma, Marwaha Sanjay, 2023. Multi-criterion optimization of invasive antenna applicators for Au@Fe3 O4, Au@-Fe2O3 and Au@-Fe2O3 mediated microwave ablation treatment, Electromagnetic Biology and Medicine DOI:https://doi.org/10.1080/15368378.2023.2184381
  6. Jamwal Paramjeet Singh, Singh Sanjeev, Jain Shailendra, 2023. Fault-tolerant operation of the cascaded H-bridge three-level inverter for electric vehicle application, International Journal of Ambient Energy. pp.1-14. DOI: https://doi.org/10.1080/01430750.2023.2181219
  7.  Maini Surita, Bhadoriya Jitendra Singh, Gupta Atma Ram, Kumar Ashwani, Ray Rohit, 2023. Enhancement of the distribution network in the presence of EV charging stations augmented by distributed generation, International Journal of Electrical Engineering, DOI: https://doi.org/10.1007/s00202-023-01901-8.
  8. Maini Surita, Yadav Hitesh, 2023. Alpha -Theta Correlations During Different States Of Brain For Designed Cognitive Task, International Journal of Electrical and Electronics Research (IJEER)
  9. Maini Surita, Yadav Hitesh, 2023. A deep learning approach to detect the electroencephalogram-based cognitive task states. International Journal of Advanced Technology and Engineering Exploration, Volume 10(100). DOI:http://dx.doi.org/10.19101/IJATEE.2021.876520.
  10. Maini Surita, Dhanka Sanjay, Bhardwaj Vibhor Kumar, 2023. Comprehensive analysis of supervised algorithms for coronary artery heart disease detection, Expert Systems, Volume 10, Issue 7, pp. 1-21. DOI:https://doi.org/10.1111/exsy.13300.
  11. Maini Surita, Yadav Hitesh, 2023. Electroencephalogram Based Brain-Computer Interface: applications, challenges and opportunities, Multimedia Tools and Applications. DOI:http://10.1007/s11042-023-15653-x.
  12. Kumar, Ashok,  and Dhillon, J. S., 2023 “Enhanced Harris hawk optimizer for hydrothermal generation scheduling with cascaded reservoirs.” Expert Systems with Applications, DOI:https://doi.org/10.1016/j.eswa.2023.120270.
  13. Kaur, Gurpreet  and Dhillon, Jaspreet Singh, 2023 “Electricity generation scheduling of thermal-wind-solar energy systems.” Electrical Engineering, DOI:https://doi.org/10.1007/s00202-023-01873-9.
  14. Verma Updesh, Tyagi Pratibha and Aneja Kaur Manpreet, 2023. Multi-Branch CNN GRU with attention mechanism for human action recognition, Engineering Research Express, Volume 5, No.2, PP. 1-18. DOI: http://10.1088/2631-8695/acd98c 
  15. Sharma Rani Suvita, Alshathri Samah , Singh Birmohan , Kaur Manpreet, Mostafa Rehman R., Shafai El.Walid, 2023.Hybrid Multilevel Thresholding Image Segmentation Approach for Brain MRI , Diagnostics . DOI: 10.3390/diagnostics13050925
  16. Mishra Harekrishna, Kaur Manpreet,2023. Classification of brain tumor based on texture and deep features of magnetic resonance images, Expert Systems . DOI: 10.1111/exsy.13294
  17. Singh Harpreet Singh Birmohan, Kaur Manpreet,2023.Lévy flight and disrupt operator-based elephant herding optimization for global optimization problems and feature selection to classify medical data, Concurrency and Computation Practice and Experience. DOI: 10.1002/cpe.7766
  18. Sharma Rani Suvita, Singh Birmohan, Kaur Manpreet,2023. A hybrid encryption model for the hyperspectral images: application to hyperspectral medical images. Multimedia Tools and Applications. DOI:10.1007/s11042-023-15587-4
  19. Lohchab V., Singh J., Mahapatra P., Bachhal V., Hooda A., Jindal K., and Dhillon M.S., 2021. Thermal imaging in total knee replacement and its relation with inflammation markers.Mathematical Biosciences and Engineering ,18 (6), pp. 7759-7773. DOI:https://doi.org/10.3934/mbe.2021385
  20. Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc, Abhinandan Arya, Uday Kiran Rage, Ram Avtar, 2023. A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends. Remote Sensing Applications: Society and Environment, DOI: https://doi.org/10.1016/j.rsase.2023.101005
  21. Juan Xiao, Ashwani Kumar Aggarwal, Uday Kiran Rage, Vaibhav Katiyar, Ram Avtar, 2023. Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring, IEEE Access, DOI:https://doi.org/10.1109/ACCESS.2023.3297513
  22. Juan Xiao, Stanley Anak Suab, Chen Xinyu, Chander Kumar Singh, Dharmendra Singh, Ashwani Kumar Aggarwal, Alexius Korom, Wirastuti Widyatmanti, Tanjinul Hoque Mollah, Huynh Vuong Thu Minh, Khaled Mohamed Khedher, Ram Avtar, 2023. Enhancing assessment of corn growth performance under various experimental management practices using Unmanned Aerial Vehicles (UAVs) and deep learning. Measurement,112764, DOI: https://doi.org/10.1016/j.measurement.2023.112764
  23. Sumika Chauhan, Manmohan Singh, Ashwani Kumar Aggarwal, 2023. Investigative analysis of different mutation on diversity-driven multi-parent evolutionary algorithm and its application in area coverage optimization of WSN. Soft Computing, DOI: https://doi.org/10.1007/s00500-023-08090-3
  24. Dilpreet Singh Brar, Gulzar Ahmad Nayik, Ashwani Kumar Aggarwal, Sawinder Kaur, Vikas Nanda, Sudhanshu Saxena, Satyendra Gautam, Seema Ramniwas & Teferi Damto Tolcha, 2023. Chemical and functional characteristics to detect sugar syrup adulteration in honey from different botanical origins. International Journal of Food Properties, DOI:https://doi.org/10.1080/10942912.2023.2218066
  25. Ruchika Thukral, Ashwani Kumar Aggarwal, Ajat Shatru Arora, Tapas Dora, Sankalp Sancheti, 2023. Artificial intelligence-based prediction of oral mucositis in patients with head-and-neck cancer: A prospective observational study utilizing a thermographic approach, Cancer Research, Statistics, and Treatment, DOI:https://doi.org/10.4103/crst.crst_332_22
  26. Sumika Chauhan, Manmohan Singh, Ashwani Kumar Aggarwal, 2023. Designing of optimal digital IIR filter in the multi-objective framework using an evolutionary algorithm. Engineering Applications of Artificial Intelligence, Volume 119, DOI:https://doi.org/10.1016/j.engappai.2022.105803 

 

Year-2022

  1. Kashyap M., Verma R. and Kansal S., 2022. Sizing and Allocation of DGs in A Passive Distribution Network Under Various Loading Scenarios. Electric Power Systems Research, pp. 1-10.  DOI: https://doi.org/10.1016/j.epsr.2022.108046
  2. Ashanand & Kaur, M. 2022. Efficient retinal image enhancement using morphological operations. Biomedical Engineering Applications Basis and Communications. DOI:10.4015/S1016237222500338
  3. Singh, H., Singh, B. & Kaur, M. 2022. An efficient feature selection method based on improved elephant herding optimization to classify high‐dimensional biomedical data. Expert Systems. DOI: 10.1111/exsy.13038
  4. Sharma Rani Suvita, Singh Birmohan, Kaur Manpreet, 2022. A Novel Approach of Ensemble Methods Using the Stacked Generalization for High-dimensional Datasets, IETE Journal of Research. DOI: 10.1080/03772063.2022.2028582
  5. Mishra Harekrishna, Kaur Manpreet,2022. An Approach for Enhancement of MR Images of Brain Tumor, Traitement du Signal. DOI: 10.18280/ts.390405
  6. Sharma Rani Suvita, Singh Birmohan, Kaur Manpreet,2022. A Self‐adaptive Bald Eagle Search optimization algorithm with dynamic opposition‐based learning for global optimization problems, Expert Systems.  DOI: 10.1111/exsy.13170
  7. Garg, M., Ubhi, J.S. and Aggarwal A.K., 2022. Neural Style Transfer for Image within Images and Conditional GANs for Destylization. Journal of Visual Communication and Image Representation, pp.1-12, DOI: https://doi.org/10.1016/j.jvcir.2022.103483
  8. Aggarwal A.K., 2022. Biological Tomato Leaf Disease Classification using Deep Learning Framework. International Journal of Biology and Biomedical Engineering, pp.241-244, DOI:https://doi.org//10.46300/91011.2022.16.30
  9. Kaur,A., Chauhan, A.P.S. and Aggarwal A.K., 2022. Dynamic Deep Genomics Sequence Encoder for Managed File Transfer. IETE Journal of Research, pp. 1-13. DOI:https://doi.org/10.1080/03772063.2022.2060869
  10. Kaur,A., Chauhan, A.P.S. and Aggarwal A.K., 2022. Prediction of Enhancers in DNA Sequence Data Using a Hybrid CNN-DLSTM Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1-10.  DOI:https://doi.org/10.1109/TCBB.2022.3167090
  11. Garg, M., Ubhi, J.S. and Aggarwal A.K., 2022. Neural style transfer for image steganography and destylization with supervised image to image translation. Multimedia Tools and Applications, pp.1-18, DOI: https://doi.org/10.1007/s11042-022-13596-3
  12. Prasad Bhawesh, Kumar Raj and Singh Manmohan, 2022. Performance Analysis of Heat Exchanger System Using Deep Learning Controller. International Journal of Electrical and Electronics Research (IJEER), pp. 327-334. DOI: https://doi.org/10.37391/IJEER.100244
  13. Rupam, Marwaha Sanjay and Marwaha Anupma, 2022. Average Torque Improvement of BLDC Motor in Battery Electric Vehicle. International Journal of Advanced Technology and Engineering Exploration, Volume: 9, Issue: 95, pp. 1522-1538. DOI:http://dx.doi.org/10.19101/IJATEE.2021.875874
  14. Rupam, Marwaha Sanjay and Marwaha Anupma, 2022. FEA based design of outer rotor BLDC motor for Battery Electric Vehicle. International Journal of Electrical and Electronics Research, Volume: 10, Issue: 4 , DOI: https://doi.org/10.37391/IJEER.100459
  15. Rupam, Marwaha Sanjay and Verma Chaman, 2022. Cogging Torque Minimization of PMBLDC Motor for Application in Battery Electric Vehicle. Journal of Electrical Engineering & Technology, DOI: https://doi.org/10.1007/s42835-022-01322-w
  16. Kumar Avinash, Marwaha Sanjay, Manna Singh Manpreet, 2022.  Design and parametric analysis of switched reluctance motor using adaptive FEA for torque ripple reduction,  Int. J. Power and Energy Conversion, Volume 13, Issue 3(4), pp. 209-223.  DOI: http://dx.doi.org/10.1504/IJPEC.2022.130948
  17. Bhadoria Ashutosh and Marwaha Sanjay, 2022. A Chaotic Hybrid Optimization Technique for Wind Integrated Dynamic Generation Scheduling Problem. MRS Energy and Sustainabilty, DOI:http://10.1557/s43581-022-00050-y
  18. Bhadoria Ashutosh and Marwaha Sanjay, 2022. Economic Energy Scheduling Through Chaotic Gorilla Troops Optimizer. International Journal of Energy and Environmental Engineering, https://www.springerprofessional.de/economic-energy-scheduling-through-chaotic-gorilla-troops-optimi/23818662
  19. Kumar Rajat, Saxena A., Kumar Raj, Marwaha Sanjay, Singh J.  and Singh G.K. , 2022. A Comprehensive Overview on Modified Versions of Stockwell Transform For Power Quality Monitoring.  IEEE Access, DOI: http://10.1109/ACCESS.2022.3202309
  20. Singla Alka, Marwaha Anupma , Marwaha Sanjay  and Rani Surekha , 2022. Flexible Graphene Sheet Loaded Curved Patch Applicator for Superficial Hyperthermia Treatment Planning Utilizing Ripple Effect of Armchair and Zigzag Bending. Current Nanoscience, DOI:10.2174/1573413718666220701145146
  21. Bala, R., Marwaha, A., Gupta, M., Sharma, U., Kishore, G., Rishika, Goel, H., Bansal, G., & Marwaha, S. (2022). Estimation of the Speed of the Vehicle Using MATLAB. Asian Journal of Electrical Sciences, 11(2), 35–38. DOI:https://doi.org/10.51983/ajes-2022.11.2.3465
  22. Kumar Ashok  and Dhillon J.S. , 2022. Environmentally sound short-term hydrothermal generation scheduling using intensified water cycle approach. Applied Soft Computing,    DOI: https://doi.org/10.1016/j.asoc.2022.109327
  23. Dhaliwal Singh Jatinder and Dhillon J.S. , 2022. Memetic binary differential evolution to solve wind–thermal profit based unit commitment problem. Applied Soft Computing, DOI:  https://doi.org/10.1016/j.asoc.2022.109105
  24. Kansal Veenus  and Dhillon J.S. , 2022. Ameliorated artificial hummingbird algorithm for coordinated wind-solar-thermal generation scheduling problem in multiobjective framework, Applied Energy, DOI: https://doi.org/10.1016/j.apenergy.2022.120031
  25. Kumar Vinay , Singh Sanjeev and Jain Shailendra, 2022  A Reduced Switch Count Symmetric T-type Multilevel Inverter with Single and Multiple Switch Open Circuit Fault Tolerant Capabilities.  IETE Journal of Research, DOI:https://doi.org/10.1080/03772063.2022.2034535
  26. Murty V.S ., Jain Shailendra and Ojha A., 2022. Analyzing modeled configuration using finite element analysis for performance prediction of LSRM. Neural Computing and Applications, pp. 1-15, DOI:http://10.1007/s00521-022-07598-3
  27. Prasad N., Jain Shailendra, and Gupta S., 2022. Design and Analysis of a New Improved Force Linear Switched Reluctance Motor for Transit Application. IETE Journal of Research,  68(3), pp. 1847–1860.DOI:https://doi.org/10.1080/03772063.2019.1676664
  28. Sharma Kumar Sudhir, Manna Singh Manpreet, 2022. Finite Element Electromagnetic Based Design of Universal Motor for Agro Application. International Journal of Electrical and Electronics Research (IJEER), Vol. 10, Issue 3, pp. 590-596.  DOI:https://doi.org/10.37391/IJEER.100330
  29. Sharma Kumar Sudhir, Manna Singh Manpreet, 2022. Finite element based design and performance analysis of universal motor for agro applications. Bulletin of Electrical Engineering and Informatics, DOI: https://doi.org/10.11591/eei.v12i1.4204
  30. Sharma Kumar Sudhir, Manna Singh Manpreet, 2022. FEM based design and performance analysis of 2-poles universal motor, International Journal of Advanced Technology and Engineering Exploration, DOI: http://dx.doi.org/10.19101/IJATEE.2021.875539
  31. Verma U., Tyagi P., and Kaur M., 2022. Artificial Intelligence in Human Activity Recognition : A Review. International Journal of Sensor Networks(IJSNET), DOI:http://10.1504/IJSNET.2022.10050953
  32. Verma U., Tyagi P., and Kaur M., 2022. Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), pp. 410-420. DOI: https://doi.org/10.52549/ijeei.v10i2.3475.

 

Year-2021

  1. Anand, H., Narang, N. and Dhillon, J.S., 2021. Multi-Objective Profit Based Commitment and Dispatch of Cogeneration System Using Decision Making Strategy Approach. IETE Technical Review, pp.1-12. DOI: https://doi.org/10.1080/02564602.2021.1890245.
  2. Kaur, A., Singh, L. and Dhillon, J.S., 2021. Modified Krill Herd Algorithm for Constrained Economic Load Dispatch Problem. International Journal of Ambient Energy, pp.1-26. DOI: https://doi.org/10.1080/01430750.2021.1888798.
  3. Panag, T.S. and Dhillon, J.S., 2021. Predator–prey optimization based clustering algorithm for wireless sensor networks. Neural Computing and Applications, pp.1-21. DOI: 1007/s00521-020-05639-3.
  4. Chopra, N., Brar, Y.S. and Dhillon, J.S., 2021. An improved particle swarm optimization using simplex-based deterministic approach for economic-emission power dispatch problem. Electrical Engineering, pp.1-19. DOI: 1007/s00202-020-01164-7.
  5. Garg, M., Arora, A.S. and Gupta, S., 2021. An Efficient Human Identification through Iris Recognition System. Journal of Signal Processing Systems, pp.1-8. DOI: 1007/s11265-021-01646-2.
  6. Prasad, N., Jain, S. and Gupta, S., 2021. Design of a Modified Structure Linear Switched Reluctance Motor for Linear Propulsion of System like Mumbai Monorail. Journal of The Institution of Engineers (India): Series B, 102(1), pp.41-47. DOI: 1007/s40031-020-00504-2.
  7. Prasad, N.,Jain, S.and Gupta, S., 2021. A Comparative Analysis of Linear Switched Reluctance Motor using Finite Element Method.International Journal of Power and Energy Systems, 41(2). DOI:http://10.2316/J.2021.203-0201
  8. Murthy V.S., Jain S., Ojha Amit, 2021. Suitability of Linear Switched Reluctance Motor for Advanced Electric Traction System. Mechatronic Systems and Control,  DOI:http://10.2316/J.2021.201-0191
  9. Murthy V.S., Jain S., Ojha Amit, 2021. Advancements in Converter Topology and Control Strategies for Switched Reluctance Motors : Recent Contributions, Mechatronic Systems and Control, DOI:http://10.2316/J.2021.201-0154
  10. Kumar, R., Kumar, R. and Marwaha, S., 2021.Online identification of underlying causes for multiple and multi-stage power quality disturbances using S-Transform.IETE Journal of Research, (Accepted), DOI: https://doi.org/10.1080/03772063.2021.1913073
  11. Singla Alka, Marwaha Anupma and Marwaha Sanjay, 2021. Graphene as a Shielding Material for SAR Reduction in Human Head using Rectangular and Circular Patch Antenna. Karbala International Journal of Modern Science, 7(2), pp. 169-175. DOI: https://doi.org/10.33640/2405-609X.2997
  12. Bhardwaj, V.K. and Maini, S., 2021. Analysis of doppler induced optical feedback interferometry for point-of-use refractometry. Optik, 228, p.166135. DOI: https://doi.org/10.1016/j.ijleo.2020.166135.
  13. Sharma, S.R., Singh, B. and Kaur, M., 2021. Classification of Parkinson disease using binary Rao optimization algorithms. Expert Systems, p.e12674.DOI:https://doi.org/10.1111/exsy.12674.
  14. Sharma Rani Suvita, Singh Birmohan, Kaur Manpreet,2021. Hybrid SFO and TLBO optimization for biodegradable classification, Soft Computing. DOI:10.1080/03772063.2022.2028582
  15. Sharma Rani Suvita, Singh Birmohan, Kaur Manpreet,2021. Improving the classification of phishing websites using a hybrid algorithm, Computational Intelligence, DOI: 10.1111/coin.12494
  16. Kashyap, D., Singh, B. and Kaur, M., 2021. Chaotic approach for improving global optimization in Yellow Saddle Goatfish. Engineering Reports, p.e12381.DOI:https://doi.org/10.1002/eng2.12381.
  17. Chauhan, S., Singh, M. and Aggarwal, A.K., 2021. Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm. Wireless Personal Communications, pp.1-32. DOI: 1007/s11277-021-08225-5.
  18. Avtar, R., Kouser, A., Aggarwal, A.K., Singh, D., Misra, P., Gupta, A., Yunus, A.P., Kumar, P., Johnson, B.A., Dasgupta, R. and Sahu, N., 2021. Remote Sensing for International Peace and Security: Its Role and Implications. Remote Sensing, 13(3), p.439. DOI: 3390/rs13030439.
  19. Chauhan, S., Singh, M. and Aggarwal, A.K., 2021. Design of a Two-Channel Quadrature Mirror Filter Bank through a Diversity-Driven Multi-Parent Evolutionary Algorithm. Circuits, Systems, and Signal Processing, pp.1-21. DOI: 1007/s00034-020-01625-1.
  20. Chauhan, S., Singh, M. and Aggarwal, A.K., 2021. Bearing defect identification via evolutionary algorithm with adaptive wavelet mutation strategy. Measurement, 179 (2021): 109445. DOI: https://doi.org/10.1016/j.measurement.2021.109445

 

Year-2020

  1. Kaur, M., Dhillon, J.S. and Kothari, D.P., 2020. Crisscross differential evolution algorithm for constrained hydrothermal scheduling. Applied Soft Computing, 93, p.106393. DOI:https://doi.org/10.1016/j.asoc.2020.106393.
  2. Kansal, V. and Dhillon, J.S., 2020. Emended salp swarm algorithm for multiobjective electric power dispatch problem. Applied Soft Computing, 90, p.106172. DOI:https://doi.org/10.1016/j.asoc.2020.106172.
  3. Chopra, N., Brar, Y.S. and Dhillon, J.S., 2020. Economic power dispatch using hybrid particle swarm optimization with simplex search method. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 18(1). DOI:37936/ecti-eec.2020181.222582.
  4. Chopra, N., Brar, Y.S. and Dhillon, J.S., 2020. Hybridized particle swarm optimization on constrained economic dispatch problem. Journal of Computational and Theoretical Nanoscience, 17(1), pp.322-328. DOI: https://doi.org/10.1166/jctn.2020.8669.
  5. Prasad, N., Jain, S. and Gupta, S., 2020. Comparative analysis of new improved force split-teeth Linear Switched Reluctance Motor for high speed transit systems. Sādhanā, 45, pp.1-13. DOI:https://doi.org/10.1007/s12046-020-01389-z.
  6. Prasad, N., Jain, S. and Gupta, S., 2020. An educational tool based on finite element method for electromagnetic study. The International Journal of Electrical Engineering & Education, p.0020720920940572. DOI:https://doi.org/10.1177/0020720920940572.
  7. Murty, V.S., Jain, S. and Ojha, A., 2020. Application of Linear Switched Reluctance Motor for Sustainable Electric Vehicular System. International Journal of Power and Energy Systems, 40(1). DOI:2316/J.2020.203-0195.
  8. Rani, S., Marwaha, A. and Marwaha, S., 2020. Nanocomposite Graphene based Tunable Absorber for Combating Electromagnetic Pollution. Current Nanoscience, 16(6), pp.1016-1023. DOI:https://doi.org/10.2174/1573413715666191204123307.
  9. Bhadoria, A., Marwaha, S. and Kamboj, V.K., 2020. BMFO-SIG: A Novel Binary Moth Flame Optimizer Algorithm with Sigmoidal Transformation for Combinatorial Unit Commitment and Numerical Optimization Problems. Transactions of the Indian National Academy of Engineering, 5(4), pp.789-826. DOI:1007/s41403-020-00185-9
  10. Rani, S., Marwaha, A. and Marwaha, S., 2020. Modelling and Simulation of Vertical Fin Style Aluminium Heat Sink for Controlled Thermal Compensation in Absorber Loaded Antenna Array. Journal of Communications Technology and Electronics, 65(11), pp.1295-1301. DOI:1134/s1064226920110145.
  11. Rani, S., Marwaha, A. and Marwaha, S., 2020. Investigation of substrate materials for graphene oxide absorber loaded antenna array increased ambient temperature. Photonic Network Communications, 40(2), pp.94-102. DOI:1007/s11107-020-00908-6.
  12. Bhadoria, A. and Marwaha, S., 2020. Moth flame optimizer-based solution approach for unit commitment and generation scheduling problem of electric power system. Journal of Computational Design and Engineering, 7(5), pp.668-683. DOI:https://doi.org/10.1093/jcde/qwaa050.
  13. Bhadoria, A., Marwaha, S. and Kamboj, V.K., 2020. A solution to statistical and multidisciplinary design optimization problems using hGWO-SA algorithm. Neural Computing and Applications, pp.1-26. DOI:1007/s00521-020-05229-3.
  14. Rani, S., Marwaha, A., Marwaha, S., Bindra, S., Chavali, M. and Reddy, P.N., 2020. Characterization and measurement of nanostructured copper-based electromagnetic wave absorber. Electromagnetics, 40(5), pp.313-321. DOI:https://doi.org/10.1080/02726343.2020.1780375.
  15. Rani, S., Marwaha, A., Marwaha, S., Bindra, S., Chavali, M. and Reddy, P.N., 2020. Synthesis and Validation of a Cu Meta-Based Wideband Microwave Absorber on an Antenna Array. Journal of Electronic Materials, 49(3), pp.1601-1610. DOI:1007/s11664-019-07395-0.
  16. Singh, J. and Arora, A.S., Automated approaches for ROIs extraction in medical thermography: a review and future directions. Multimedia Tools and Applications, 79(21), pp.15273-15296. DOI:https://doi.org/10.1007/s11042-018-7113-z.
  17. Singh, J. and Arora, A.S., 2020. Effectiveness of active dynamic and passive thermography in the detection of maxillary sinusitis. Quantitative InfraRed Thermography Journal, pp.1-13. DOI:https://doi.org/10.1080/17686733.2020.1736456.
  18. Bhardwaj, V.K. and Maini, S., 2020. Measurement of micro-harmonic vibration from optical feedback interferometry using wavelet trend analysis. Optics Communications, 476, p.126330. DOI:https://doi.org/10.1016/j.optcom.2020.126330.
  19. Bhardwaj, V.K. and Maini, S., 2020. Estimation of absolute distance and high-frequency vibration from the modulated SM-OFI signal using compound mutated genetic algorithm. Optics and Lasers in Engineering, 134, p.106271. DOI:https://doi.org/10.1016/j.optlaseng.2020.106271.
  20. Bhardwaj, V.K. and Maini, S., 2020. Compact and self-aligned fluid refractometer based on the Doppler-induced self-mixing effect. Applied optics, 59(10), pp.3064-3072. DOI:https://doi.org/10.1364/AO.388078.
  21. Singh, D., Singh, B. and Kaur, M., Simultaneous feature weighting and parameter determination of Neural Networks using Ant Lion Optimization for the classification of breast cancer. Biocybernetics and Biomedical Engineering, 40(1), pp.337-351. DOI:https://doi.org/10.1016/j.bbe.2019.12.004.
  22. Kumari, T., Syal, P., Aggarwal, A.K. and Guleria, V., 2020. Hybrid image registration methods: A Review. International Journal of Advanced Trends in Computer Science and Engineering, 9(2),1134-1142. DOI:10.30534/ijatcse/2020/36922020.
  23. Chauhan, S., Singh, M. and Aggarwal, A.K., 2020. An effective health indicator for bearing using corrected conditional entropy through diversity-driven multi-parent evolutionary algorithm. Structural Health Monitoring, p.1475921720962419. DOI:https://doi.org/10.1177/1475921720962419.
  24. Avtar, R., Komolafe, A.A., Kouser, A., Singh, D., Yunus, A.P., Dou, J., Kumar, P., Gupta, R.D., Johnson, B.A., Minh, H.V.T. and Aggarwal, A.K., 2020. Assessing sustainable development prospects through remote sensing: A review. Remote Sensing Applications: Society and Environment, p.100402. DOI:https://doi.org/10.1016/j.rsase.2020.100402.
  25. Chauhan, S., Singh, M. and Aggarwal, A.K., 2020. Diversity driven multi-parent evolutionary algorithm with adaptive non-uniform mutation. Journal of Experimental & Theoretical Artificial Intelligence, pp.1-32. DOI:https://doi.org/10.1080/0952813X.2020.1785020.
  26. Aggarwal, A.K., 2020. Enhancement of GPS Position Accuracy Using Machine Vision and Deep Learning Techniques. Journal of Computer Science, 16(5), pp.651-659. DOI:3844/jcssp.2020.651.659.

 

 Year-2019

  1. Kumar, M. and Dhillon, J.S., 2019. A conglomerated ion-motion and crisscross search optimizer for electric power load dispatch. Applied Soft Computing, 83, p.105641. DOI:https://doi.org/10.1016/j.asoc.2019.105641.
  2. Dhaliwal, J.S. and Dhillon, J.S., 2019. Profit based unit commitment using memetic binary differential evolution algorithm. Applied Soft Computing, 81, p.105502. DOI:http://doi.org/10.1016/j.asoc.2019.105502.
  3. Anand, H., Narang, N. and Dhillon, J.S., 2019. Multi-objective combined heat and power unit commitment using particle swarm optimization. Energy, 172, pp.794-807. DOI:https://doi.org/10.1016/j.energy.2019.01.155.
  4. Singh, D. and Dhillon, J.S., 2019. Ameliorated grey wolf optimization for economic load dispatch problem. Energy, 169, pp.398-419. DOI:https://doi.org/10.1016/j.energy.2018.11.034.
  5. Panag, T.S. and Dhillon, J.S., 2019. Maximal coverage hybrid search algorithm for deployment in wireless sensor networks. Wireless Networks, 25(2), pp.637-652. DOI: https://doi.org/10.1007/s11276-017-1581-3.
  6. Singh, M. and Arora, A.S., 2019. Computer Aided Face Liveness Detection with Facial Thermography. Wireless Personal Communications, pp.1-12. DOI:https://doi.org/10.1007/s11277-019-06996-6.
  7. Prasad, N., Jain, S. and Gupta, S., 2019. Design and analysis of a new improved force linear switched reluctance motor for transit application. IETE Journal of Research, pp.1-14. DOI:https://doi.org/10.1080/03772063.2019.1676664.
  8. Prasad, N., Jain, S. and Gupta, S., 2019. Measurement and optimization of performance parameters of linear switched reluctance motor using finite element method. MAPAN-Journal of Metrology Society of India, 35(2), pp.251–259. DOI:https://doi.org/10.1007/s12647-019-00350-8.
  9. Prasad, N., Jain, S. and Gupta, S., 2019. Electrical components of maglev systems: Emerging trends. Urban Rail Transit, 5(2), pp.67-79. DOI:https://doi.org/10.1007/s40864-019-0104-1.
  10. Tandekar, J.K., Ojha, A., Das, S., Swarnkar, P. and Jain, S., 2019. SEIG‐based renewable power generation and compensation in MVDC ship power system. International Transactions on Electrical Energy Systems, 29(4), p.e2785. DOI:https://doi.org/10.1002/etep.2785.
  11. Tandekar, J.K., Ojha, A. and Jain, S., 2019. SEIG-based renewable generation for MVDC ship power system with improved power quality. Electric Power Components and Systems, 47(1-2), pp.27-42. DOI:https://doi.org/10.1080/15325008.2019.1570394.
  12. Kumar, R., Singh, B., Kumar, R. and Marwaha, S., 2019. Recognition of underlying causes of power quality disturbances using Stockwell transform. IEEE Transactions on Instrumentation and Measurement, 69(6), pp.2798-2807. DOI:1109/TIM.2019.2926876.
  13. Bansal, G., Marwaha, A., Singh, A., Bala, R., Marwaha, S., A triband slotted bow-tie wideband THz antenna design using graphene for wireless applications.” Optik, 185, pp.1163-1171.  DOI:https://doi.org/10.1016/j.ijleo.2019.04.063.
  14. Rani, S., Marwaha, A., Marwaha, S., Bindra, S., Chavali, M. and Reddy, P.N., 2020. Synthesis and Validation of a Cu Meta-Based Wideband Microwave Absorber on an Antenna Array. Journal of Electronic Materials, 49(3), pp.1601-1610.  DOI:https://doi.org/10.1007/s11664-019-07395-0.
  15. Rezkallah, M., Singh, S., Chandra, A., Singh, B., Tremblay, M., Saad, M. and Geng, H., 2019. Comprehensive controller implementation for wind-PV-diesel based standalone microgrid. IEEE Transactions on Industry Applications, 55(5), pp.5416-5428. DOI:1109/TIA.2019.2928254.
  16. Maan, J.S., Singh, S. and Singh, A., 2019. Impact of Harmonics on Power Transformer Losses and Capacity Using Open DSS. International Journal of Emerging Electric Power Systems, 20(4). DOI:https://doi.org/10.1515/ijeeps-2018-0349.
  17. Singh, J., Singh, S. and Singh, A., 2019. Distribution transformer failure modes, effects and criticality analysis (FMECA). Engineering Failure Analysis, 99, pp.180-191. DOI:https://doi.org/10.1016/j.engfailanal.2019.02.014.
  18. Rezkallah, M., Chandra, A., Singh, B. and Singh, S., 2019. Microgrid: configurations, control and applications. IEEE Transactions on Smart Grid, 10(2), pp.1290-1302. DOI:1109/TSG.2017.2762349.
  19. Avtar, R., Tripathi, S. and Aggarwal, A.K., 2019. Assessment of energy–population–urbanization nexus with changing energy industry scenario in India. Land, 8(8), p.124.DOI:https://doi.org/10.3390/land8080124.
  20. Avtar, R., Sahu, N., Aggarwal, A.K., Chakraborty, S., Kharrazi, A., Yunus, A.P., Dou, J. and Kurniawan, T.A., 2019. Exploring renewable energy resources using remote sensing and GIS—A review. Resources, 8(3), p.149.DOI:https://doi.org/10.3390/resources8030149.
  21. Avtar, R., Tripathi, S., Aggarwal, A.K. and Kumar, P., 2019. Population–urbanization–energy Nexus: a review. Resources, 8(3), p.136-142. DOI:https://doi.org/10.3390/resources8030136.
  22. Singh, G., Singh, B. and Kaur, M., 2019. Grasshopper optimization algorithm–based approach for the optimization of ensemble classifier and feature selection to classify epileptic EEG signals. Medical & biological engineering & computing, 57(6), pp.1323-1339. DOI:https://doi.org/10.1007/s11517-019-01951-w.
  23. Bhardwaj, V.K. and Surita, M., 2019. Modelling Of PAFC Based Scattering Monitoring System for the Characterization of the Therapeutic Micro-Bubbles. Journal of Biomedical Photonics & Engineering, 5(3). DOI:http://18287/JBPE19.05.030303
  24. Verma, R. and Sarkar, V., 2019. Application of Modified Gauss-Zbus Iterations for Solving the Load Flow Problem in Active Distribution Networks. Electric Power Systems Research, 168, pp.8-19. DOI:https://doi.org/10.1016/j.epsr.2018.11.005.

 

Year-2018

  1. Kumar, M. and Dhillon, J.S., 2018. Hybrid artificial algae algorithm for economic load dispatch. Applied Soft Computing, 71, pp.89-109. DOI: https://doi.org/10.1016/j.asoc.2018.06.035.
  2. Anand, H., Narang, N. and Dhillon, J.S., 2018. Unit commitment considering dual-mode combined heat and power generating units using integrated optimization technique. Energy Conversion and Management, 171, pp.984-1001. DOI: https://doi.org/10.1016/j.enconman.2018.06.054.
  3. Sidhu, D.S. and Dhillon, J.S., 2018. Design of digital IIR filter with conflicting objectives using hybrid predator–prey optimization. Circuits, Systems, and Signal Processing, 37(5), pp.2117-2141. DOI: https://doi.org/10.1007/s00034-017-0656-9.
  4. Panag, T.S. and Dhillon, J.S., 2018. Dual head static clustering algorithm for wireless sensor networks. AEU-International Journal of Electronics and Communications, 88, pp.148-156. DOI: https://doi.org/10.1016/j.aeue.2018.03.019.
  5. Singh, N.J., Dhillon, J.S. and Kothari, D.P., 2018. Non-interactive approach to solve multi-objective thermal power dispatch problem using composite search algorithm. Applied Soft Computing, 65, pp.644-658. DOI: https://doi.org/10.1016/j.asoc.2018.01.044.
  6. Singh, N.J., Dhillon, J.S. and Kothari, D.P., 2018. Multiobjective thermal power load dispatch using adaptive predator–prey optimization. Applied Soft Computing, 66, pp.370-383. DOI: https://doi.org/10.1016/j.asoc.2018.02.006.
  7. Anand, H., Narang, N. and Dhillon, J.S., 2018. Profit based unit commitment using hybrid optimization technique. Energy, 148, pp.701-715. DOI: https://doi.org/10.1016/j.energy.2018.01.138.
  8. Panag, T.S. and Dhillon, J.S., 2018. A novel random transition based PSO algorithm to maximize the lifetime of wireless sensor networks. Wireless Personal Communications, 98(2), pp.2261-2290. DOI: https://doi.org/10.1007/s11277-017-4973-x.
  9. Singh, N.J., Dhillon, J.S. and Kothari, D.P., 2018. Multi-objective thermal power load dispatch using chaotic differential evolutionary algorithm and Powell’s method. Soft Computing, 22(7), pp.2159-2174. DOI: https://doi.org/10.1007/s00500-016-2473-7.
  10. Agrawal, R. and Jain, S., 2018. Comparison of reduced part count multilevel inverters (RPC-MLIs) for grid interfacing. IETE Journal of Research, 64(5), pp.620-633. DOI: https://doi.org/10.1080/03772063.2017.1367262.
  11. Tandekar, J., Ojha, A. and Jain, S., 2018. Five-level cascaded H-bridge MLC-based shunt active power filter for active harmonics mitigation in distributed network. Journal of Circuits, Systems and Computers, 28(02), p.1950035. DOI: https://doi.org/10.1142/S021812661950035X.
  12. Singh, J., Kumar, S. and Arora, A.S., 2018. Thermographic evaluation of mindfulness meditation using dynamic IR imaging. Infrared Physics & Technology, 95, pp.81-87. DOI: https://doi.org/10.1016/j.infrared.2018.10.029.
  13. Singh, M. and Arora, A.S., 2018. A novel face liveness detection algorithm with multiple liveness indicators. Wireless Personal Communications, 100(4), pp.1677-1687. DOI: https://doi.org/10.1007/s11277-018-5661-1.
  14. Singh, J. and Arora, A.S., 2018. An automated approach to enhance the thermographic evaluation on orofacial regions in lateral facial thermograms. Journal of thermal biology, 71, pp.91-98. DOI: https://doi.org/10.1016/j.jtherbio.2017.11.001.
  15. Bansal, G., Marwaha, A., Singh, A., Bala, R. and Marwaha, S., 2018. Graphene based wideband arc truncated terahertz antenna for wireless communication. Current Nanoscience, 14(4), pp.290-297. DOI: https://doi.org/10.2174/1573413714666180115120022.
  16. Rani, S., Marwaha, A. and Marwaha, S., 2018. Exploring the feasibility of development of nanomaterial-based microwave absorbers. International Nano Letters, 8(4), pp.241-254. DOI:https://doi.org/10.1007/s40089-018-0254-2
  17. Rani, S., Marwaha, A. and Marwaha, S., 2018. Utilization of graphene oxide-based microwave absorber for pattern enhancement of patch antenna array. Journal of Nanophotonics, 12(3), p.036012. DOI:https://doi.org/10.1117/1.JNP.12.036012.
  18. Singh, G., Marwaha, S., Arora, A.S., 2018. Investigation of Influence of Rotor Geometry on Cogging Torque in Combined Axial Flux Permanent Magnet Synchronous Motor. International Journal of Engineering and Technology, 7(4), pp.7072-7078. DOI:14419/ijet.v7i4.22462.
  19. Maini, S. and Aggarwal, A.K., 2018.Camera Position Estimation using 2D Image Dataset. International Journal of Innovations in Engineering and Technology (IJIET). DOI:http://dx.doi.org/10.21172/ijiet.102.29.
  20. Pal, P., Singh, B. and Kaur, M., 2018. Prediction of accuracy for hepatocellular carcinoma patients using cluster based feature ranking. International Journal of Medical Research and Health Sciences, 7(8), pp.130-140.
  21. Singh, B. and Kaur, M., 2018. An approach for classification of malignant and benign microcalcification clusters. Sādhanā, 43(3), pp.1-18. DOI:https://doi.org/10.1007/s12046-018-0805-2
  22. Ranjan, S., Rani, M., Ranjan, S. and Singh, M., 2018. Design and Implementation of low-cost 2D plotter Computer Numeric Control (CNC) Machine. International Journal of Engineering Research & Technology, 7(05). DOI:http://dx.doi.org/10.17577/IJERTV7IS050084
  23. Singh, S., Jain, V.K. and Singh, A., 2018. A Novel LSB Steganography Method Using Partition and Matching Algorithms. International Journal of Engineering & Technology (UAE), 7(4). DOI: 14419/ijet.v7i4.22273.
  24. Singh, G., Jain, V.K. and Singh, A., 2018. Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system. Energy & Environment, 29(7), pp.1073-1097. DOI: https://doi.org/10.1177/0958305X18768819.
  25. Singh G., Jain, V.K.and Singh A., 2018. Improving Efficiency of Solar Bio-gas Hybrid Power Generation System with Tracking System. International Journal of Industrial Electronics and Electrical Engineering, 6(5), pp.8-11.
  26. Purkayastha, S.S., Jain, V.K. and Sardana, H.K., 2018. Three Set Criterion (3SC) A Common Comparison Platform Casual Brain Computer Interfaces (BCIs). International Journal of Emerging Technologies and Innovative Research, 5(5), pp.1060-1071.
  27. Singh, S., Jain, V.K. and Singh, A., 2018. Efficient LSB Embedding Using Boosted Steganography. International Journal on Future Revolution in Computer Science & Communication Engineering, 4(3), pp.536-540.
  28. Singh, S., Jain, V.K. and Singh, A., 2018. A Novel Embedding Technique Using Secure Compression Algorithm in BMP Image.” Wulfenia Journal, 25(6).
  29. Verma, R. and Sarkar, V., 2018. Active distribution network load flow analysis through non-repetitive FBS iterations with integrated DG and transformer modelling. IET Generation, Transmission & Distribution, 13(4), pp.478-484. DOI: 1049/iet-gtd.2018.5478.

 

 Year-2017

  1. Panag, T.S. and Dhillon, J.S., 2017. Maximal coverage hybrid search algorithm for deployment in wireless sensor networks. Wireless Networks, 25(2), pp.637-652. DOI: https://doi.org/10.1007/s11276-017-1581-3.
  2. Singh, N.J., Dhillon, J.S. and Kothari, D.P., 2017. Surrogate worth trade-off method for multi-objective thermal power load dispatch. Energy, 138, pp.1112-1123. DOI: https://doi.org/10.1016/j.energy.2017.07.063.
  3. Sidhu, D.S., Dhillon, J.S. and Kaur, D., 2017. Hybrid heuristic search method for design of digital IIR filter with conflicting objectives. Soft Computing, 21(12), pp.3461-3476. DOI: https://doi.org/10.1007/s00500-015-2023-8.
  4. Panag, T.S. and Dhillon, J.S., 2017. Two stage grid classification based algorithm for the identification of fields under a wireless sensor network monitored area. Wireless Personal Communications, 95(2), pp.1055-1074. DOI: https://doi.org/10.1007/s11277-016-3813-8.
  5. Narang, N., Sharma, E. and Dhillon, J.S., 2017. Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method. Applied Soft Computing, 52, pp.190-202. DOI: https://doi.org/10.1016/j.asoc.2016.12.046.
  6. Agrawal, R. and Jain, S., 2017. An Improvisation of CCS-MLI topology in terms of maximization of levels. IETE Journal of Research, 63(5), pp.651-661. DOI: https://doi.org/10.1080/03772063.2017.1304288.
  7. Agrawal, R. and Jain, S., 2017. Multilevel inverter for interfacing renewable energy sources with low/medium-and high-voltage grids. IET Renewable Power Generation, 11(14), pp.1822-1831. DOI: 1049/iet-rpg.2016.1034.
  8. Agrawal, R. and Jain, S., 2017. Comparison of reduced part count multilevel inverters (RPC-MLIs) for integration to the grid. International Journal of Electrical Power & Energy Systems, 84, pp.214-224. DOI: https://doi.org/10.1016/j.ijepes.2016.05.011.
  9. Shrivastava, S., Jain, S., Nema, R.K. and Chaurasia, V., 2017. Two level islanding detection method for distributed generators in distribution networks. International Journal of Electrical Power & Energy Systems, 87, pp.222-231. DOI: https://doi.org/10.1016/j.ijepes.2016.10.009.
  10. Kaur, G., Arora, A.S. and Jain, V.K., 2017. Comparative analysis of hybrid models for prediction of BP reactivity to crossed legs. Journal of healthcare engineering, 2017. DOI: https://doi.org/10.1155/2017/2187904.
  11. Singh, J. and Arora, A.S., 2017. A framework for enhancing the thermographic evaluation on characteristic areas for paranasal sinusitis detection. Infrared Physics & Technology, 85, pp.457-464. DOI: https://doi.org/10.1016/j.infrared.2017.08.011.
  12. Singh, M. and Arora, A.S., 2017. A robust anti-spoofing technique for face liveness detection with morphological operations. Optik, 139, pp.347-354. DOI: https://doi.org/10.1016/j.ijleo.2017.04.004.
  13. Tyagi,and Arora, A.S., 2017. Stress analysis of lower back using EMG signal. Biomedical Research, 28(2), pp.519-524.
  14. Vasudeva, C. and Marwaha, S., 2017. Quasi-Static Field Analysis of Permanent Magnet Generator Using H-Hierarchical Adaptive Finite Element Method. Journal of Engineering Science and Technology, 12(10), pp.2613-2627. DOI:https://jestec.taylors.edu.my/Vol%2012%20issue%2010%20October%202017/12_10_4.pdf
  15. Bala, R., Marwaha, A. and Marwaha, S., Mathematical formulation of surface conductivity for graphene material. Journal of Engineering Science and Technology, 12(6), pp.1677-1684. DOI:https://jestec.taylors.edu.my/Vol%2012%20issue%206%20June%202017/12_6_17.pdf
  16. Dhillon, S.S., Lather, J.S. and Marwaha, S., 2017. Steady State and Transient Analysis of Grid Connected Doubly Fed Induction Generator Under Different Operating Conditions. International Journal of Applied Power Engineering, 6(3), pp.171-192. DOI:http://doi.org/10.11591/ijape.v6.i3.pp171-192
  17. Agarwal, R. and Singh, S., 2017. Controller optimization algorithm for a 12-pulse voltage source converter based HVDC system. Journal of Electrical Engineering and Technology, 12(2), pp.643-653. DOI:https://doi.org/10.5370/JEET.2017.12.2.643
  18. Agarwal, R. and Singh, S., 2017. Optimized Controller Design for a 12-Pulse Voltage Source Converter Based HVDC System. Journal of The Institution of Engineers (India): Series B, 98(6), pp.567-577. DOI:https://doi.org/10.1007/s40031-017-0286-4
  19. Agarwal, R. and Singh, S., 2017. Power quality control of voltage source converter-based HVDC system using particle swarm optimisation. International Journal of Power and Energy Conversion, 8(4), pp.435-452. DOI: https://doi.org/10.1504/IJPEC.2017.087324.
  20. Srivastava, A. Singhal, V. and Agarwal, A.K., Comparative Analysis of Multimodal Medical Image Fusion using PCA and Wavelet Transforms.  International Journal of Latest Technology in Engineering, Management and Applied Science, 6(4), pp.115-118.
  21. Kumar, R., Singh, B., Shahani, D.T. and Jain, C., 2016. Dual-tree complex wavelet transform-based control algorithm for power quality improvement in a distribution system. IEEE transactions on industrial electronics, 64(1), pp.764-772. DOI: 1109/TIE.2016.2562601.
  22. Singh, B. and Kaur, M., 2017. An Approach for enhancement of microcalcifications in mammograms. Journal of Medical and Biological Engineering, 37(4), pp.567-579. DOI: https://doi.org/10.1007/s40846-017-0276-7.
  23. Kaur, M. and Singh, G., 2017. Classification of seizure prone EEG signal using amplitude and frequency based parameters of intrinsic mode functions. Journal of Medical and Biological Engineering, 37(4), pp.540-553. DOI: https://doi.org/10.1007/s40846-017-0275-8.
  24. Tiwari, S., Singh, B. and Kaur, M., 2017. An approach for feature selection using local searching and global optimization techniques. Neural Computing and Applications, 28(10), pp.2915-2930. DOI: https://doi.org/10.1007/s00521-017-2959-y.
  25. Mali, and Laskar, S.H., 2017. Soft Sensor for Estimation and Identification of Reduced Dimensional Quality Control Inputs. Journal of Instrumentation Technology & Innovations, 7(3), pp.24–29. DOI:https://doi.org/10.37591/joiti.v7i3.196.
  26. Singh, G., Jain, V.K.and Singh, A., 2017. Cost Effective Micro Hybrid Power Plant with Rational Fuel Feeding Arrangement. Jr. of Engg. & Tech. 4(15).
  27. Singh, G., Jain, V.K.and Singh, A., 2017. Effect of Temperature and other factors on Anaerobic Digestion Process, responsible for Bio Gas Production. International Journal of Theoretical and Applied Mechanics, 12(3), pp.637-657.
  28. Singh, G., Jain, V.K.and Singh, A., 2017. Bio-gas Solar Hybrid System for Solving Issues on Sustainable Energy Supply in Punjab (India): An Agrarian State.  Jr. on Advances in Wireless & Mobile Communication, 10(5), pp.841-858.

 

 Year-2016

  1. Singh, D. and Dhillon, J.S., 2016. Fuzzy based design of digital IIR filter using ETLBO. Turkish Journal of Electrical Engineering & Computer Sciences, 24(5), pp.4042-4062. DOI:http://3906/elk-1410-107
  2. Dhaliwal, K.K. and Dhillon, J.S., 2017. Integrated cat swarm optimization and differential evolution algorithm for optimal IIR filter design in multi-objective framework. Circuits, Systems, and Signal Processing, 36(1), pp.270-296. DOI:http://1007/s00034-016-0304-9
  3. Singh, M. and Dhillon, J.S., 2016. A simple opposition-based greedy heuristic search for dynamic economic thermal power dispatch. Electric Power Components and Systems, 44(6), pp.589-605. DOI:http://1080/15325008.2015.1122113
  4. Singh, M. and Dhillon, J.S., 2016. Multiobjective thermal power dispatch using opposition-based greedy heuristic search. International Journal of Electrical Power & Energy Systems, 82, pp.339-353. DOI:https://doi.org/10.1016/j.ijepes.2016.03.016.
  5. Singh, N.J., Dhillon, J.S. and Kothari, D.P., 2016. Synergic predator-prey optimization for economic thermal power dispatch problem. Applied Soft Computing, 43, pp.298-311. DOI:https://doi.org/10.1016/j.asoc.2016.02.042.
  6. Kamboj, V.K., Bath, S.K. and Dhillon, J.S., 2017. Multiobjective multiarea unit commitment using hybrid differential evolution algorithm considering import/export and tie-line constraints. Neural Computing and Applications, 28(11), pp.3521-3536. DOI:https://doi.org/10.1007/s00521-016-2240-9.
  7. Kamboj, V.K., Bath, S.K. and Dhillon, J.S., 2017. Hybrid HS–random search algorithm considering ensemble and pitch violation for unit commitment problem. Neural Computing and Applications, 28(5), pp.1123-1148. DOI:http://1007/s00521-015-2114-6
  8. Sidhu, D.S., Dhillon, J.S. and Kaur, D., 2016. Design of higher order digital IIR low pass filter using hybrid differential evolution. Memory, 12, p.21. DOI:http://12720/ijsps.4.1.6-12
  9. Singh, M. and Arora, A.S., 2016. Varying illumination and pose conditions in face recognition. Procedia Computer Science, 85, pp.691-695. DOI: https://doi.org/10.1016/j.procs.2016.05.255.
  10. Dhillon, S.S., Lather, J.S. and Marwaha, S., 2016. Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller. International Journal of Electrical Power & Energy Systems, 79, pp.196-209. DOI: https://doi.org/10.1016/j.ijepes.2016.01.012.
  11. Bala, R., Marwaha, A. and Marwaha, S., 2016. Comparative analysis of zigzag and armchair structures for graphene patch antenna in THz band. Journal of Materials Science: Materials in Electronics, 27(5), pp.5064-5069. DOI:https://www.infona.pl/resource/bwmeta1.element.springer-doi-10_1007-S10854-016-4394-8
  12. Bala, R., Singh, R., Marwaha, A. and Marwaha, S., 2016. Wearable Graphene Based Curved Patch Antenna for Medical Telemetry Applications. Applied Computational Electromagnetics Society Journal, 31(5), pp.543-550. DOI:https://journals.riverpublishers.com/index.php/ACES/article/download/10115/8433/31735
  13. Bala, R., Marwaha, A. and Marwaha, S., 2016. Performance enhancement of patch antenna in terahertz region using graphene. Current Nanoscience, 12(2), pp.237-243. DOI:2174/1573413711666151016204315.
  14. Bala, R., Marwaha, A. and Marwaha, S., Graphene antenna design for terahertz regime with exact formulation of surface conductivity. Journal of Nanoelectronics and Optoelectronics, 11(4), pp.459-464. DOI:https://doi.org/10.1166/jno.2016.1929.
  15. Singh, S. and Singh, S., 2016. Position sensorless control for PMBLDC motor drive using digital signal processor. Journal of Circuits, Systems and Computers, 25(07), p.1650077. DOI:https://doi.org/10.1142/S0218126616500778.
  16. Kumar, R., Singh, B. and Shahani, D.T., 2016. Symmetrical components-based modified technique for power-quality disturbances detection and classification. IEEE Transactions on Industry Applications, 52(4), pp.3443-3450. DOI:1109/TIA.2016.2536665.
  17. Maini, S., Microwave Ablation Antenna Design: Interaction of Microwaves with Liver Tissue. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), 4(9), pp.152-155. DOI:10.17148/IJIREEICE.2016.4929.
  18. Maini, S., Comparison between Thermal Ablation Techniques for Treatment of Cancer. International Journal of Advanced Research in Computer and Communication Engineering, 5(9), pp.471-476. DOI:http://10.17148/IJARCCE.2016.5999
  19. Prakash, S., Patel, R.B. and Jain,K., 2016. Adaptive Marking for Traffic Reduction in Heterogeneous Networks Using Mobile Service Agents. KSII Transaction on Internet and Information Systems.
  20. Prakash, S., Patel, R.B. and Jain, V.K., 2016. A Multi-Attribute Intuitionistic Fuzzy Group Decision Method for Network Selection in Heterogeneous Wireless Networks Using TOPSIS. TIIS, 10(11), pp.5229-5252. DOI:http://3837/tiis.2016.11.002

 

Year-2015

  1. Kamboj, V.K., Bath, S.K. and Dhillon, J.S., A novel hybrid DE–random search approach for unit commitment problem. Neural Computing and Applications, 28(7), pp.1559-1581. DOI:https://doi.org/10.1007/s00521-015-2124-4.
  2. Kamboj, V.K., Bath, S.K. and Dhillon, J.S., 2015. Hybrid HS–random search algorithm considering ensemble and pitch violation for unit commitment problem. Neural Computing and Applications, 28(5), pp.1123-1148. DOI:http://1007/s00521-015-2114-6
  3. Sidhu, D.S., Dhillon, J.S. and Kaur, D., 2015. Design of digital IIR filter with conflicting objectives using hybrid gravitational search algorithm. Mathematical Problems in Engineering, 2015. DOI:http://1155/2015/282809
  4. Kamboj, V.K., Bath, S.K. and Dhillon, J.S., 2015. Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer. Neural Computing and Applications, 27(5), pp.1301-1316. DOI: https://doi.org/10.1007/s00521-015-1934-8.
  5. Kaur, R., Patterh, M.S. and Dhillon, J.S., 2015. A new greedy search method for the design of digital IIR filter. Journal of King Saud University-Computer and Information Sciences, 27(3), pp.278-287. DOI: https://doi.org/10.1016/j.jksuci.2014.03.021.
  6. Dhaliwal, K.K. and Dhillon, J.S., 2015. On the design of optimal digital IIR BP filter using opposition aided cat swarm optimization algorithm. International Journal of Engineering Research and General Science, 3(3), pp.736-743.
  7. Singh, D. and Dhillon, J.S., 2015. Design of optimal IIR digital filter using Teaching-Learning based optimization technique. WSEAS Transactions on Advances in Engineering Education, 12, pp.9-18.
  8. Singh, D. and Dhillon, J.S., 2015. Design of Higher Order LP and HP Digital IIR Filter Using the Concept of Teaching-Learning Based Optimization. WSEAS Transactions on Signal Processing, 11, pp.29-37.
  9. Singh, D. andDhillon, J.S.,  Teaching Learning Based Optimization Algorithm for the Optimal Design of Higher Order BP and BS IIR Digital Filter. International Journal of Applied Engineering Research (IJAER), 10(3), pp.7727-42.
  10. Dhillon, S.S., Lather, J.S. and Marwaha, S., 2015. Multi area load frequency control using particle swarm optimization and fuzzy rules. Procedia Computer Science, 57, pp.460-472. DOI: https://doi.org/10.1016/j.procs.2015.07.363.
  11. Bala, R., Marwaha, A. and Marwaha, S., 2015. Material Modeling Approach for Graphene Antenna Design. Indonesian Journal of Electrical Engineering and Computer Science, 16(3), pp.480-487. DOI:http://doi.org/10.11591/ijeecs.v16.i3.pp480-487.
  12. Sharma, J., Sharma, G. and Marwaha, S., 2015. Designing of Permanent Magnet Synchronous Machine for Applications in Small Hydro Plants. International Journal of Engineering Research and Applications, 5(7), pp.04-08. DOI:https://www.ijera.com/papers/Vol5_issue7/Part%20-%203/B57030408.pdf
  13. Kumar, S., Chakrabarti, R., Arora, A.S., Singh, V.P. and Kalra, V., 2015. MoyaMoya disease-surgical revascularization by encephaloduroarteriosynangiosis, Pediatric Oncall, 12(3), pp.76-77. DOI:http://7199/ped.oncall.2015.41
  14. Kaur, G., Arora, A.S. and Jain, V.K., 2015. Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics. Frontiers of Information Technology & Electronic Engineering, 16(6), pp.474-485. DOI: https://doi.org/10.1631/FITEE.1400295.
  15. Goyal, M.K., Arora, A.S. and Kumar, R., 2015. Determination of CTS Occurrence in Hand Arm Vibration Environment through One Way ANOVA and Chi Square Test. International Journal of Engineering and Management Research (IJEMR), 5(6), pp.381-383.

 

Year-2014

  1. Singh, D. and Dhillon, J.S., 2014. IIR band pass and band stop filter design employing teaching-learning based optimization technique. International Journal of Computer Applications, 104(14). DOI:5120/18273-9361.
  2. Singh, D. and Dhillon, J.S., 2014. Design of IIR digital filter using the concept of teaching-learning based optimization, Wulfenia Journal, 21(9).
  3. Kaur, K. and Dhillon, J.S., 2014. Design of digital IIR filters using integrated cat swarm optimization and differential evolution. International Journal of Computer Applications, 99(4), pp.28-43. DOI:5120/17362-7876.
  4. Narang, N., Dhillon, J.S. and Kothari, D.P., 2014. Weight pattern evaluation for multiobjective hydrothermal generation scheduling using hybrid search technique. International Journal of Electrical Power & Energy Systems, 62, pp.665-678. DOI:https://doi.org/10.1016/j.ijepes.2014.05.026.
  5. Narang, N., Dhillon, J.S. and Kothari, D.P., 2014. Scheduling short-term hydrothermal generation using predator prey optimization technique. Applied Soft Computing, 21, pp.298-308. DOI:https://doi.org/10.1016/j.asoc.2014.03.029.
  6. Kaur, R., Patterh, M.S. and Dhillon, J.S., 2014. Real coded genetic algorithm for design of IIR digital filter with conflicting objectives. Applied Mathematics & Information Sciences, 8(5), p.2635. DOI:http://dx.doi.org/10.12785/amis/080563.
  7. Singh, M. and Arora, A.S., 2014. Face Recognition and Face Liveness. Research Cell: An International Journal of Engineering Sciences, 10(2014), pp.38-42.
  8. Kaur, G., Arora, A.S. and Jain, V.K., 2014. Prediction of BP reactivity to talking using hybrid soft computing approaches. Computational and mathematical methods in medicine, 2014. DOI: https://doi.org/10.1155/2014/762501.
  9. Kaur, S. and Maini, S., 2014. Microwave Ablation therapy for the treatment of hepatocellular carcinoma using double slot interstitial antenna. International Journal of Research in Computer Applications and Robotics, 2(1), pp.56-61.
  10. Aggarwal, A.K., 2014. Rehabilitation of the Blind using Audio to Visual Conversion Tool. Journal of Biomedical Engineering and Medical Imaging, 1(4), pp.24-31. DOI: 14738/jbemi.14.395.
  11. Kumar, A.K., Sato, Y., Oishi, T., Ono, S. And Ikeuchi, K., 2014. Improving GPS Position Accuracy by Identification of Reflected GPS Signals using Range Data for Modeling of Urban Structures. Seisan Kenkyu, 66(2), pp.101-107. DOI: https://doi.org/10.11188/seisankenkyu.66.101.

 

Year-2013

  1. Kaur, R., Patterh, M.S. and Dhillon, J.S., 2013. Digital IIR filter design using real coded genetic algorithm. IJ Information Technology and Computer Science, 7, pp.27-35. DOI:http://5815/ijitcs.2013.07.03
  2. Kaur, R., Patterh, M.S. and Dhillon, J.S., 2013. Design of digital IIR filter with conflicting objectives, International Review of Electrical Engineering (I.R.E.E.), 8(2), pp. 879-89.
  3. Singh, B., Dhillon, J.S. and Brar, Y.S., 2013. Predator prey optimization method for the design of IIR filter. WSEAS Transactions on Signal Processing, 9(2), pp.51-62.
  4. Singh, B., Dhillon, J.S. and Brar, Y.S., 2013. A hybrid differential evolution method for the design of IIR digital filter. International Journal on Signal and Image Processing, 4(1), p.1.
  5. Singh, B., Dhillon, J.S. and Brar, Y.S., 2013. Design of digital IIR filters: A comparison, International Journal of Electrical, Electronics and Telecommunication Engineering, 44(1), pp. 1108-21.
  6. Lather, J.S., Singh, S. and Marwaha, S., 2013. Dynamic modeling, analysis and simulation of grid connected Doubly fed induction generator based wind power under different operating conditions. ternational journal of electrical and electronics engineering research (IJEEER) India.
  7. Lather, J.S., Dhillon, S.S. and Marwaha, S., Modern control aspects in doubly fed induction generator based power systems: a review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(6), pp.2149-2161.
  8. Singh, G., Dhillon, S.S. and Marwaha, S., Optimized design of wideband Wilkinson balun using composite Right/Left-Handed Transmission Line. International Journal of Management, IT and Engineering, 3(3), p.289.
  9. Kalra, S. and Marwaha, S., 2013. Design and optimisation of pacemaker electrode using finite element method. International Journal of Advanced Electrical and Electronics Engineering, 2(6), pp.125-130. DOI:http://www.irdindia.in/journal_ijaeee/pdf/vol2_iss6/21.pdf
  10. Lather, J.S., Dhillon, S.S. and Marwaha, S., 2013. 5 MW Modified Structural Simulink Model of HAWT and Verification as Compared to FAST and Lumped codes. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(6). DOI:https://www.ijareeie.com/upload/june/10_5%20MW%20MODIFIED.pdf
  11. Ryait, H.S., Arora, A.S. and Agarwal, R., 2013. Comparison of SEMG signals of healthy and amputee subject for elbow movement. International Journal of Biomedical Engineering and Technology, 12(2), pp.147-156. DOI: https://doi.org/10.1504/IJBET.2013.056507.
  12. Jayant, A., Singh, T. and Kaur, M., 2013. Different techniques to remove baseline wander from ECG signal.  J. Emerg. Res. Manag. Technol, 2, pp.16-19.
  13. Kumari, S., Kaur, M. and Singh, B., 2013. Detection and Tracking of moving object in visual surveillance system. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(8).
  14. Kumar, A.K., Banno, A., Ono, S., Oishi, T. And Ikeuchi, K., 2013. Global Coordinate Adjustment of The 3d Survey Models Under Unstable GPS Condition. Seisan Kenkyu, 65(2), pp.91-95. DOI: https://doi.org/10.11188/seisankenkyu.65.91