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Mukesh K. Tiwari
Mukesh K. Tiwari
Assistant Professor, College of Agricultural Engineering and Technology, AAU, Godhra
Verified email at aau.in
Title
Cited by
Cited by
Year
Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
MK Tiwari, C Chatterjee
Journal of Hydrology 394 (3), 458-470, 2010
3312010
Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
MK Tiwari, J Adamowski
Water Resources Research, 2013
2362013
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
RC Deo, MK Tiwari, JF Adamowski, JM Quilty
Stochastic environmental research and risk assessment 31, 1211-1240, 2017
2202017
Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)
MK Tiwari, C Chatterjee
Journal of Hydrology 382 (1-4), 20-33, 2010
2012010
A new wavelet―bootstrap―ANN hybrid model for daily discharge forecasting
MK Tiwari, C Chatterjee
Journal of hydroinformatics 13 (3), 500-519, 2011
1402011
Medium-term urban water demand forecasting with limited data using an ensemble wavelet–bootstrap machine-learning approach
MK Tiwari, JF Adamowski
Journal of Water Resources Planning and Management 141 (2), 04014053, 2015
1052015
Reservoir inflow forecasting using ensemble models based on neural networks, wavelet analysis and bootstrap method
S Kumar, MK Tiwari, C Chatterjee, A Mishra
Water resources management 29, 4863-4883, 2015
1022015
Identifying crop water stress using deep learning models
NS Chandel, SK Chakraborty, YA Rajwade, K Dubey, MK Tiwari, D Jat
Neural Computing and Applications 33, 5353-5367, 2021
882021
Wavelet bootstrap multiple linear regression based hybrid modeling for daily river discharge forecasting
V Sehgal, MK Tiwari, C Chatterjee
Water resources management 28, 2793-2811, 2014
832014
Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting
S Mouatadid, JF Adamowski, MK Tiwari, JM Quilty
Agricultural Water Management 219, 72-85, 2019
782019
Intermittent Streamflow Forecasting and Extreme Event Modelling using Wavelet based Artificial Neural Networks
JJ Makwana, MK Tiwari
Water Resources Management 28, 4857-4873, 2014
732014
Evapotranspiration modeling using second-order neural networks
S Adamala, NS Raghuwanshi, A Mishra, MK Tiwari
Journal of Hydrologic Engineering 19 (6), 1131-1140, 2014
602014
Water demand forecasting using extreme learning machines
M Tiwari, J Adamowski, K Adamowski
Journal of Water and Land Development 28 (1), 37, 2016
592016
Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting
A Kant, PK Suman, BK Giri, MK Tiwari, C Chatterjee, PC Nayak, S Kumar
Neural Computing and Applications, 1-16, 2013
532013
Improving reliability of river flow forecasting using neural networks, wavelets and self-organising maps
MK Tiwari, KY Song, C Chatterjee, MM Gupta
Journal of Hydroinformatics 15 (2), 486-502, 2013
452013
An ensemble wavelet bootstrap machine learning approach to water demand forecasting: a case study in the city of Calgary, Canada
MK Tiwari, JF Adamowski
Urban Water Journal 14 (2), 185-201, 2017
422017
Hydrological stream flow modelling using soil and water assessment tool (SWAT) and neural networks (NNs) for the Limkheda watershed, Gujarat, India
JJ Makwana, MK Tiwari
Modeling Earth Systems and Environment 3, 635-645, 2017
322017
Prioritization of agricultural sub-watersheds in semi arid middle region of Gujarat using remote sensing and GIS
J Makwana, MK Tiwari
Environmental Earth Sciences 75, 1-12, 2016
292016
River-Flow Forecasting Using Higher-Order Neural Networks
MK Tiwari, KY Song, C Chatterjee, MM Gupta
Journal of Hydrologic Engineering 17 (5), 655-666, 2012
262012
Deep learning approaches and interventions for futuristic engineering in agriculture
SK Chakraborty, NS Chandel, D Jat, MK Tiwari, YA Rajwade, A Subeesh
Neural Computing and Applications 34 (23), 20539-20573, 2022
232022
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