Results 231 to 240 of about 105,781,316 (298)
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Patient-environment monitoring for smart healthcare in hospitals with cooperative power-data transfer. [PDF]
Li J, Zhai C.
europepmc +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
A more complete picture: capturing single nucleotide variant diversity in extended-spectrum beta-lactamase producing <i>Escherichia coli</i> using post-enrichment metagenomics. [PDF]
Gallichan S +10 more
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Secure analysis in cognitive satellite-terrestrial networks with untrusted LEO relaying and friendly jamming. [PDF]
Zhang P, Gao J.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
New paradigm for aging research: aging studies through innovative AI applications and interdisciplinary collaborations. [PDF]
Gao Z, Li M, Li J, Song M.
europepmc +1 more source

