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Learning Multiple Initial Conditions using Physics Informed Neural Networks
Physics-Informed Neural Networks (PINNs) and its variants have emerged as a tool for solving differential equations in the past few years. Although several variants of PINNs have been proposed, the majority of these ...
Investigation of the oxyfuel fluidized bed combustion characteristics of high ash Indian coal
Coal continues to be an important source of energy in developing countries like India.
However, Indian coal has high ash content, which causes it to have high burnout time
and, hence, lower combustion efficiency in ...
Development and Validation of Novel Methods for Measuring and Tracking Clean Energy Transitions: Case Studies from Rural India
Modern energy sources are crucial to gain all the benefits that modern living affords and is central to our idea of holistic human development. While they pose multitude benefits over their traditional counterparts, they ...
Development of Microsystem Platforms Towards Cancer Diagnostics and Therapeutics
This thesis explores the development and application of microsystems to advance our understanding of disease biology. The overarching goal is to enhance diagnostic and therapeutic strategies through precise and physiologically ...
Lesion Synthesis using Physics-Based Noise Models for Low-Data Medical Imaging Regime applications
Lesion segmentation and their progression prediction in medical imaging relies critically on the availability of manually annotated, heterogeneous large pathological datasets. Acquiring such diverse large datasets is also ...
Conceptualization and Validation of Interoperability in Blockchain Enabled Interconnected Smart Microgrids
Power systems are undergoing rapid transitions to incorporate renewable sources of generation and to combat climate change. It is expected that the next stage of transitions will lead to a shift from large-scale, centralized ...
Multi-agent Collaborative Framework for Automated Agriculture
The agriculture sector faces numerous challenges in meeting the demands of a growing global population while managing resource constraints, labour shortages and environmental sustainability. This thesis presents a multi-agent ...
Dripping Dynamics of Suspensions
The study of droplet formation dynamics of Newtonian fluids and non-colloidal suspensions has significant industrial applications. Experimental studies on the influence of fluid properties such as Newtonian and non-colloidal ...
An Integrated Assessment of Carbon and Water Use Efficiencies over India using Remote Sensing
Carbon use efficiency (CUE) and water use efficiency (WUE) are essential characteristics of ecosystem functioning to understand the strength of carbon allocated by the vegetation as biomass from the sequestered atmospheric ...
Analysis, Modelling and Prediction of Protein-Protein Interfaces and Application to Biological Problems
Proteins play crucial roles in many biological processes like signalling, catalysis of metabolic processes, immune systems, and transporting molecules. To perform this wide range of functions, proteins interact with other ...