Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving t...
Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions...
Recent advances in Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made it stand...
Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...
Despite significant progress in Unified Multimodal Retrieval (UMR) powered by Large Multimodal Model...
Semantic segmentation of multi-modal remote sensing imagery plays a pivotal role in land use/land co...
With the development of deep learning, ViT-based stereo matching methods have made significant progr...
Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a parad...
Background Randomized controlled trials (RCTs) often have incomplete methods reporting despite wides...
The capacity to generate high-dimensional biological datasets has outpaced the ability to interpret ...
Wideband spectrum sensing for low-altitude monitoring is critical yet challenging due to heterogeneo...
Cyclic peptides are recognized as versatile scaffolds for therapeutic and functional applications du...
Ship detection for navigation is a fundamental perception task in intelligent waterway transportatio...
Recent semi-dense image matching methods have achieved remarkable success, but two long-standing iss...
The deep integration of communication with intelligence and sensing, as a defining vision of 6G, ren...
Background: The integration of artificial intelligence (AI) into clinical practice holds transformat...
The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...
Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...
Recent advances in open-vocabulary object detection focus primarily on two aspects: scaling up datas...
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm. It aims to retrieve target...
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...