Results 191 to 200 of about 110,833 (284)
Advanced Intelligent Systems, EarlyView.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
ECLed- a tool supporting the effective use of the SNOMED CT Expression Constraint Language. [PDF]
J Biomed SemanticsOhlsen T, Sander A, Ingenerf J.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
A framework for normalized extraction of fine-grained traditional Chinese medicine symptom entities and relations. [PDF]
BMC Med Inform Decis MakGou X +9 more
europepmc +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
Advanced Intelligent Systems, EarlyView.This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
POSA-GO: Fusion of Hierarchical Gene Ontology and Protein Language Models for Protein Function Prediction. [PDF]
Int J Mol SciLiu Y, Wang B, Yan B, Jiang H, Dai Y.
europepmc +1 more source
, 2015 Topic models came to improve the way search, browse and summarization of large sets of texts is performed. These models are used for uncovering the main theme of the documents in a corpus, where topics are probability distributions over a collection of words that is representative of a document.
openaire +1 more source
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
Advanced Intelligent Systems, EarlyView.SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source