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Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...
Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...
Hyderabad - KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of Electronics and Communication Engineering (ECE) at KLH, Aziznagar ...
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a noise ...
A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...
Objective Design, train, and evaluate a deep learning model using tabular data. Your goal is to apply what you’ve learned about model architecture, optimization, and regularization to solve a ...