IEEE

SGORTE: Supervised Contrastive Learning and Global Feature-Oriented Based Object Detection Framework for Relational Triple Extraction

Abstract: The Relational Triple Extraction (RTE) is a fundamental and essential task in information extraction and knowledge graph construction. Recently, the table filling RTE methods have attracted ...
IEEE

Feature Selection for Battery Lifetime Prediction using Explainable Machine Learning

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
The Island

The dawn of smart help for little ones

How Artificial Intelligence is breaking barriers in Autism Diagnosis and Care For any parent, the early years are a most valuable countdown of “firsts” of his or her precious child: the first step, ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Open Heart

Prognostic value of cardiac fibroblast activation heterogeneity assessed by FAPI PET radiomics in hypertrophic cardiomyopathy: a proof-of-concept study

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...