Theo dơi
Dr. Manish Kumar
Dr. Manish Kumar
Asstt. Professor (Con.) Dr. R. P. C. A. U., Pusa, Bihar
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Groundwater level prediction using machine learning algorithms in a drought-prone area
QB Pham, M Kumar, F Di Nunno, A Elbeltagi, F Granata, ARMT Islam, ...
Neural Computing and Applications 34 (13), 10751-10773, 2022
Prediction of combined terrestrial evapotranspiration index (CTEI) over large river basin based on machine learning approaches
A Elbeltagi, N Kumari, JK Dharpure, A Mokhtar, K Alsafadi, M Kumar, ...
Water 13 (4), 547, 2021
Drought indicator analysis and forecasting using data driven models: Case study in Jaisalmer, India
A Elbeltagi, M Kumar, NL Kushwaha, CB Pande, P Ditthakit, ...
Stochastic Environmental Research and Risk Assessment 37 (1), 113-131, 2022
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
A Elbeltagi, NL Kushwaha, J Rajput, DK Vishwakarma, LC Kulimushi, ...
Stochastic Environmental Research and Risk Assessment 36 (10), 3311-3334, 2022
Water spread mapping of multiple lakes using remote sensing and satellite data
V Deoli, D Kumar, M Kumar, A Kuriqi, A Elbeltagi
Arabian Journal of Geosciences 14, 1-15, 2021
Combination of limited meteorological data for predicting reference crop evapotranspiration using artificial neural network method
A Elbeltagi, A Nagy, S Mohammed, CB Pande, M Kumar, SA Bhat, ...
Agronomy 12 (2), 516, 2022
Forecasting of SPI and meteorological drought based on the artificial neural network and M5P model tree
CB Pande, N Al-Ansari, NL Kushwaha, A Srivastava, R Noor, M Kumar, ...
Land 11 (11), 2040, 2022
Superiority of hybrid soft computing models in daily suspended sediment estimation in highly dynamic rivers
TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi
Sustainability 13 (2), 542, 2021
Estimation of daily stage–discharge relationship by using data-driven techniques of a perennial river, India
M Kumar, A Kumari, DP Kushwaha, P Kumar, A Malik, R Ali, A Kuriqi
Sustainability 12 (19), 7877, 2020
Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform
M Kumar, P Kumar, A Kumar, A Elbeltagi, A Kuriqi
Applied Water Science 12 (5), 87, 2022
The superiority of data-driven techniques for estimation of daily pan evaporation
M Kumar, A Kumari, D Kumar, N Al-Ansari, R Ali, R Kumar, A Kumar, ...
Atmosphere 12 (6), 701, 2021
Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins
TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi
Theoretical and Applied Climatology 145 (3), 1207-1231, 2021
Applications of data-driven models for daily discharge estimation based on different input combinations
M Kumar, A Elbeltagi, CB Pande, AN Ahmed, MF Chow, QB Pham, ...
Water Resources Management 36 (7), 2201-2221, 2022
Qualitative loss of maize under different bag storage modes
A Kumari, V Kumar, A Amitabh, A Kumar, M Kumar, V Kashyap
International Journal of Current Microbiology and Applied Sciences 6 (12 …, 2017
Applicability of machine learning techniques for multi-time step ahead runoff forecasting
TS Bajirao, A Elbeltagi, M Kumar, QB Pham
Acta Geophysica 70 (2), 757-776, 2022
Groundwater assessment: a case study in Patna and Gaya District of Bihar, India
A Kumar, S Anand, M Kumar, R Chandra
Int J Current Microbiol Appl Sci 6, 184-195, 2017
Soil moisture profile analysis using tensiometer under different discharge rates of drip emitter
S Shekhar, M Kumar, A Kumari, SK Jain
International Journal of Current Microbiology and Applied Sciences 6 (11 …, 2017
Annual maximum rainfall prediction using frequency analysis for Roorkee, Uttarakhand, India
L Kaur, A ANVESHA, M Kumar, SL Verma, P Kumar
MAUSAM 72 (2), 359-372, 2021
Modeling average grain velocity for rectangular channel using soft computing techniques
A Kumari, A Kumar, M Kumar, A Kuriqi
Water 14 (9), 1325, 2022
Effect of Sugar Mill Effluents on Ground Water Quality
S Kumar, M Kumar, A Kumar, A Kumar, AK Singh
Int. J. Curr. Microbiol. App. Sci 6 (12), 169-176, 2017
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