IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

Explainable AI-enabled hybrid deep learning architecture for breast cancer detection

1 College of Mathematics and Computer Science, Chifeng University, Chifeng, China 2 General Surgery Thoracic Surgery, Chifeng Songshan Hospital, Chifeng, China Introduction: Breast cancer stands is a ...
Beebom

You Can Now Use Gemini 2.5 Deep Think AI That Can Win a Math Olympiad

Google's most capable Gemini 2.5 Deep Think AI model is finally available for public users. It's a faster version of the AI model that achieved the Gold medal at IMO 2025. It's rolling out to Google ...
Frontiers

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models

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 ...
IEEE

Enhancing Early Detection and Classification of Alzheimer’s Disease Stages Using Deep Learning and LIME for Interpretability

Abstract: The issue of transparency in diagnostic methods has been a crucial challenge in Alzheimer’s Disease detection. This paper focuses on analyzing state-of-art deep learning algorithms namely, ...