Accurate object detection under adverse lighting conditions is critical for
real-world applications such as autonomous driving. Although neuromorphic event
cameras have been introduced to handle these scenarios, adverse lighting often
induces distr... read more
For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. The present work investigates the effects of significant process var... read more
MOTIVATION: Advances in prediction of the 3D structures of most known proteins through machine learning have achieved unprecedented accuracies. However, although these computed models are remarkably good, they still challenge accuracy at the atomic l... read more
PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related ophthalmic disease (IgG4-ROD) account for the majority of mass lesions in the orbital region. These diseases may show similar shadows on radiologic imag... read more
Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs), have fundamentally altered the way we treat cancer. Yet only a small subset of patients actually responds to ICIs, and many face significant adverse... read more
Monocular 3D Semantic Scene Completion (SSC) is a challenging yet promising
task that aims to infer dense geometric and semantic descriptions of a scene
from a single image. While recent object-centric paradigms significantly
improve efficiency by ... read more
The purpose of this study was twofold: first, to develop a new 36-item SSAI-SLEM scale for measuring synergy in integrating AI into spiritual leadership and educational management transformation; and second, to examine its psychometric properties. Th... read more
Graphics processing units (GPUs) are becoming an essential part of the
intelligent transportation system (ITS) for enabling video-based and artificial
intelligence (AI) based applications. GPUs provide high-throughput and
energy-efficient computing... read more
The convergence of autonomous indoor drones with physics-aware sensing
technologies promises to transform property assessment from subjective visual
inspection to objective, quantitative measurement. This comprehensive review
examines the technical... read more
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 4, 2025
PURPOSE: Accurate preoperative grading of gliomas is critical for therapeutic planning and prognostic evaluation. We developed a noninvasive machine learning model leveraging whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) b... read more
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