Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Elon Musk’s AI chatbot Grok has apologized after it generated a sexual image of young girls. In response to a prompt from a ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...
Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...
Abstract: Satellite image classification serves as an invaluable tool in the monitoring of Earth's surface and is applied in land use assessment, environmental monitoring, and urban planning. This ...
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