Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Abstract: This paper proposes an innovative framework that combines convolutional neural networks (CNNs) with transfer learning to address the limitations of traditional image retrieval methods in ...
Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
Abstract: Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition ...