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Himanshu Verma RS Pharmaceutical
Himanshu Verma RS Pharmaceutical
Research Scholar
在 pbi.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
3182011
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
902018
Multi agent system: concepts, platforms and applications in power systems
A Sujil, J Verma, R Kumar
Artificial Intelligence Review 49, 153-182, 2018
822018
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
182017
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
152018
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
92018
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
92017
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
82015
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
72016
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
72016
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
62018
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
62018
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
52018
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
52015
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
22017
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
22017
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
12016
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
12015
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
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