Augmenting machine learning with physics-based approaches for improved predictability and interpretability in the hydrological model with and without management at scales

dc.contributor.advisor	Bhatia, Udit
dc.contributor.author	Bhasme, Pravin Vasudev
dc.date.accessioned	2025-09-11T15:52:51Z
dc.date.available	2025-09-11T15:52:51Z
dc.date.issued	2024
dc.identifier.citation	Bhasme, Pravin Vasudev. (2024). Augmenting machine learning with physics-based approaches for improved predictability and interpretability in the hydrological model with and without management at scales. Gandhinagar: Indian Institute of Technology Gandhinagar, 134p. (Acc. No.: T01332)
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/11924
dc.description.statementofresponsibility	by Pravin Vasudev Bhasme
dc.format.extent	xxx, 134p.: hbk.: 30 cm
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	19310017
dc.subject	Ph.D
dc.subject	Civil Engineering
dc.subject	Machine Learning
dc.subject	Data Driven Models
dc.subject	Physics-Informed Machine Learning (PIML)
dc.subject	Long Short Term Memory (LSTM)
dc.subject	Graph Neural Network
dc.subject	Conceptual Model
dc.title	Augmenting machine learning with physics-based approaches for improved predictability and interpretability in the hydrological model with and without management at scales
dc.type	Thesis
dc.contributor.department	Civil Engineering
dc.description.degree	Ph.D.