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2020 – today
- 2025
[j10]Dilip Kumar Roy, Chitra Rani Paul, Md. Panjarul Haque, Bithin Datta:
Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area. Earth Sci. Informatics 18(1): 136 (2025)- 2024
- [j9]Iti Chaturvedi, Vlad Pandelea, Erik Cambria, Roy E. Welsch, Bithin Datta:
Barrier Function to Skin Elasticity in Talking Head. Cogn. Comput. 16(6): 3405-3416 (2024) - [j8]Mahdi Sedighkia
, Bithin Datta:
Suitability Assessment of Cage Fish Farming Location in Reservoirs through Neural Networks-Based Remote Sensing Analysis. Remote. Sens. 16(2): 236 (2024) - 2023
- [j7]Mahdi Sedighkia, Bithin Datta:
Monitoring ecological status of wetlands using linked fuzzy inference system- remote sensing analysis. Ecol. Informatics 74: 101971 (2023) - [j6]Mahdi Sedighkia, Bithin Datta:
Predicting impact of land cover change on flood peak using hybrid machine learning models. Neural Comput. Appl. 35(9): 6723-6736 (2023) - [j5]Mahdi Sedighkia, Bithin Datta, Parisa Saeedipour, Asghar Abdoli:
Predicting Water Quality Distribution of Lakes through Linking Remote Sensing-Based Monitoring and Machine Learning Simulation. Remote. Sens. 15(13): 3302 (2023) - 2021
- [j4]Mahdi Sedighkia, Bithin Datta, Asghar Abdoli:
Minimizing physical habitat impacts at downstream of diversion dams by a multiobjective optimization of environmental flow regime. Environ. Model. Softw. 140: 105029 (2021) - [j3]Mahdi Sedighkia, Bithin Datta, Asghar Abdoli:
Optimizing reservoir operation to avoid downstream physical habitat loss using coupled ANFIS- metaheuristic model. Earth Sci. Informatics 14(4): 2203-2220 (2021) - [j2]Alvin Lal, Bithin Datta:
Application of the group method of data handling and variable importance analysis for prediction and modelling of saltwater intrusion processes in coastal aquifers. Neural Comput. Appl. 33(9): 4179-4190 (2021)
2010 – 2019
- 2019
- [j1]Muqdad Al-Juboori, Bithin Datta:
Optimum design of hydraulic water retaining structures incorporating uncertainty in estimating heterogeneous hydraulic conductivity utilizing stochastic ensemble surrogate models within a multi-objective multi-realisation optimisation model. J. Comput. Des. Eng. 6(3): 296-315 (2019) - 2015
- [r1]Hamed Koohpayehzadeh Esfahani, Bithin Datta:
Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites. Handbook of Genetic Programming Applications 2015: 359-379
Coauthor Index
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