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the Department of Electrical Engineering at IIT Kanpur and innovative unsupervised self-structuring AI and spatio-temporal data modelling techniques from the Research Centre for Data Analytics and Cognition, La
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on isolated teams or leagues, often relying on basic descriptive statistics, limiting its ability to uncover broader patterns. This PhD project aims to advance our understanding of football performance by
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal
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, HNMR, BET etc.) will be employed to characterize the carbon nanofiber structures. For molecular level, understanding, DFT modeling will be employed. The project would require fundamental investigations
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep