Theo dơi
Pavitra Kumar
Pavitra Kumar
Department of Geography and Planning, University of Liverpool, United Kingdom
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
MS Hanoon, AN Ahmed, N Zaini, A Razzaq, P Kumar, M Sherif, ...
Scientific reports 11 (1), 18935, 2021
Suspended sediment load prediction using long short-term memory neural network
N AlDahoul, Y Essam, P Kumar, AN Ahmed, M Sherif, A Sefelnasr, ...
Scientific Reports 11 (1), 7826, 2021
Past, present and perspective methodology for groundwater modeling-based machine learning approaches
AIA Osman, AN Ahmed, YF Huang, P Kumar, AH Birima, M Sherif, ...
Archives of Computational Methods in Engineering 29 (6), 3843-3859, 2022
Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models
P Kumar, SH Lai, JK Wong, NS Mohd, MR Kamal, HA Afan, AN Ahmed, ...
Sustainability 12 (11), 4359, 2020
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
SY Heng, WM Ridwan, P Kumar, AN Ahmed, CM Fai, AH Birima, ...
Scientific reports 12 (1), 10457, 2022
Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
M Ehteram, AN Ahmed, P Kumar, M Sherif, A El-Shafie
Energy Reports 7, 6308-6326, 2021
Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
Y Essam, P Kumar, AN Ahmed, MA Murti, A El-Shafie
Soil Dynamics and Earthquake Engineering 147, 106826, 2021
Optimised neural network model for river-nitrogen prediction utilizing a new training approach
P Kumar, SH Lai, NS Mohd, MR Kamal, HA Afan, AN Ahmed, M Sherif, ...
Plos one 15 (9), e0239509, 2020
Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm
M Ehteram, F Panahi, AN Ahmed, YF Huang, P Kumar, A Elshafie
Environmental Science and Pollution Research, 1-27, 2022
Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
MS Hanoon, AN Ahmed, A Razzaq, AY Oudah, A Alkhayyat, YF Huang, ...
Ain Shams Engineering Journal 14 (4), 101919, 2023
Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques
G Abdalrahman, SH Lai, P Kumar, AN Ahmed, M Sherif, A Sefelnasr, ...
Engineering Applications of Computational Fluid Mechanics 16 (1), 397-421, 2022
Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source
MS Hanoon, AN Ahmed, P Kumar, A Razzaq, N Zaini, YF Huang, M Sherif, ...
Engineering Applications of Computational Fluid Mechanics 16 (1), 1673-1689, 2022
Advanced water level prediction for a large-scale river–lake system using hybrid soft computing approach: a case study in Dongting Lake, China
B Deng, SH Lai, C Jiang, P Kumar, A El-Shafie, RJ Chin
Earth Science Informatics 14, 1987-2001, 2021
Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
BHZ Sami, BFZ Sami, P Kumar, AN Ahmed, GE Amieghemen, MM Sherif, ...
Case Studies in Construction Materials 18, e01893, 2023
Optimized model inputs selections for enhancing river streamflow forecasting accuracy using different artificial intelligence techniques
YM Tofiq, SD Latif, AN Ahmed, P Kumar, A El-Shafie
Water Resources Management 36 (15), 5999-6016, 2022
Investigating the application of artificial intelligence for earthquake prediction in Terengganu
S Marhain, AN Ahmed, MA Murti, P Kumar, A El-Shafie
Natural Hazards 108 (1), 977-999, 2021
Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
GAM Abdalrahman, SH Lai, I Snounu, P Kumar, A Sefelnasr, M Sherif, ...
Journal of Water Process Engineering 40, 101848, 2021
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
P Kumar, SH Lai, NS Mohd, MR Kamal, AN Ahmed, M Sherif, A Sefelnasr, ...
Engineering Applications of Computational Fluid Mechanics 15 (1), 1843-1867, 2021
Application of soft computing in predicting groundwater quality parameters
MS Hanoon, AM Ammar, AN Ahmed, A Razzaq, AH Birima, P Kumar, ...
Frontiers in Environmental Science 10, 828251, 2022
Three Steps towards Better Forecasting for Streamflow Deep Learning
WY Tan, SH Lai, FY Teo, DJ Armaghani, K Pavitra, A El-Shafie
Applied Sciences 12 (24), 12567, 2022
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