Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...
Abstract: This paper investigates the significance of hyperparameter optimization in meta-learning for image classification tasks. Despite advancements in deep learning, real-time image classification ...
Abstract: Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data ...
This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...
ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...
ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
Modern technology offers new possibilities for transforming teaching. By Anant Agarwal Anant Agarwal is an education innovator. This personal reflection is part of a series called Turning Points, in ...
Department of Computer Engineering, Netaji Subhas University of Technology, New Delhi, India Hyperparameters are pivotal for machine learning models. The success of efficient calibration, often ...
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