Graphene oxide: an efficient and reusable carbocatalyst for aza-Michael addition of amines to activated alkenes S Verma, HP Mungse, N Kumar, S Choudhary, SL Jain, B Sain, OP Khatri Chemical communications 47 (47), 12673-12675, 2011 | 318 | 2011 |
Success stories of natural product-based hybrid molecules for multi-factorial diseases S Choudhary, PK Singh, H Verma, H Singh, O Silakari European journal of medicinal chemistry 151, 62-97, 2018 | 90 | 2018 |
Multi agent system: concepts, platforms and applications in power systems A Sujil, J Verma, R Kumar Artificial Intelligence Review 49, 153-182, 2018 | 82 | 2018 |
Comparative analysis of intelligently tuned support vector regression models for short term load forecasting in smart grid framework S Sreekumar, J Verma, R Kumar Technology and Economics of Smart Grids and Sustainable Energy 2, 1-9, 2017 | 18 | 2017 |
Molecular dynamics/quantum mechanics guided designing of natural products based prodrugs of Epalrestat B Vyas, S Choudhary, PK Singh, A Singh, M Singh, H Verma, H Singh, ... Journal of Molecular Structure 1171, 556-563, 2018 | 15 | 2018 |
Impact study for pv and ess integration in jurong port distribution grid J Verma, S Donghan, KL Hai, OH Chuah, D Chaoyu, X Yang, X Yan 2018 Asian Conference on Energy, Power and Transportation Electrification …, 2018 | 9 | 2018 |
Distribution and analysis of milk fat globule and crescent in murrah buffalo and crossbred cow RK Choudhary, H Kaur, S Choudhary, R Verma Proceedings of the National Academy of Sciences, India Section B: Biological …, 2017 | 9 | 2017 |
One day forth forecasting of hourly electrical load using genetically tuned Support Vector Regression for smart grid frame work S Sreekumar, J Verma, A Sujil, R Kumar 2015 2nd International Conference on Recent Advances in Engineering …, 2015 | 8 | 2015 |
Agent based intelligent fault detection, isolation and restoration in smart power system A Sujil, S Choudhary, J Verma, R Kumar 2016 IEEE Students' Conference on Electrical, Electronics and Computer …, 2016 | 7 | 2016 |
An approach towards real time short term load forecasting using grey index models for smart grid framework S SREEKUMAR, J VERMA, A Sujil, R KUMAR WSEAS Trans Power Syst 11 (3), 147-155, 2016 | 7 | 2016 |
In vivo response of xanthosine on mammary gene expression of lactating Beetal goat RK Choudhary, S Choudhary, R Verma Molecular biology reports 45, 581-590, 2018 | 6 | 2018 |
Immunolocalization of estrogen alpha and progesterone beta receptors in goat mammary gland RK Choudhary, D Pathak, S Choudhary, R Verma Indian Journal of Animal Sciences 88 (4), 420-27, 2018 | 6 | 2018 |
Immunolocalization of Musashi1 and fibronectin type III domain containing 3B in water buffalo mammary glands H Kaur, S Choudhary, D Pathak, O Singh, R Verma, RK Choudhary Proceedings of the National Academy of Sciences, India Section B: Biological …, 2018 | 5 | 2018 |
Anthelmintics: the best way to predict the future is to create it RJ Martin, S Verma, S Choudhary, S Kashyap, M Abongwa, F Zheng, ... Veterinary Parasitology 212 (1-2), 18-24, 2015 | 5 | 2015 |
Matrix based univariate and multivariate short term load forecasting for power system A Sujil, S Sreekumar, J Verma, R Kumar 2017 Second International Conference on Electrical, Computer and …, 2017 | 2 | 2017 |
Mucin 1 aberrantly expresses in goat mammary carcinoma RK Choudhary, S Choudhary, R Verma, D Pathak Journal of Stem Cell Research and Therapeutics 2 (4), 126-131, 2017 | 2 | 2017 |
New short term load forecasting models based on growth rate scaling and simple averaging S Sreekumar, J Verma, A Sujil, R Kumar 2016 IEEE 6th International Conference on Power Systems (ICPS), 1-6, 2016 | 1 | 2016 |
Hierarchical classification for Multilingual Language Identification and Named Entity Recognition. S Shah, V Jain, S Jain, A Mittal, J Verma, S Tripathi, R Kumar FIRE Workshops, 33-36, 2015 | 1 | 2015 |
Short Term PV Power Forecasting Using ELM and Probabilistic Prediction Interval Formation J Verma, X Yan, J Zhao, Z Xu Proceedings of ELM 2018 9, 273-282, 2020 | | 2020 |
Short Term Load F orecasting using Artificial Neural Networks: A State 0 f Art S Sreekumar, A Sujil, J Verma, R esh Kumar | | |