IEEE

XceptMPX: A Robust Deep Learning-Powered Web System for Mpox Detection and Classification

Abstract: The rise of mpox as a global health concern highlights the necessity of effective early detection strategies to manage its propagation. Though less fatal than COVID-19, mpox poses some ...

'Pillow Talk' With AI: This Health Snore-Cast Can Predict A Person’s Risk For 100 Ailments

The integration of sleep-based AI into routine health check-ups represents a significant leap forward in personalised ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
IEEE

A Complete Coverage Path Planning Algorithm for Mobile Robot Based on Improved Deep Reinforcement Learning

Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...

AJ2 to Demonstrate Proprietary Algorithm–Hardware Integrated Iris Recognition Platform at CES 2026

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

A Physics-Constrained Deep Learning Method for Compton Cameras 3D Imaging

Abstract: Compton cameras serve as important tools for gamma-ray imaging. However, traditional 3D reconstruction methods employ stringent event selection criteria that utilize only approximately 0.05% ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...