Results 111 to 120 of about 13,926 (236)

Hyperspectral Multilevel GCN and CNN Feature Fusion for Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) change detection focuses on identifying differences in multitemporal HSIs. Graph convolutional networks (GCNs) have demonstrated greater promise than convolutional neural networks (CNNs) in remote sensing, particularly for ...
Chhaya Katiyar, Vidya Manian
doaj   +1 more source

VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Computer Graphics Forum, EarlyView.
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann, Martin Guay, Stelian Coros, Robert W. Sumner   +5 more
wiley   +1 more source

Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization

Computer Graphics Forum, EarlyView.
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley   +1 more source

Guest Editorial: Graph Representation Learning for Feature Extraction and Signal Processing

CAAI Transactions on Intelligence Technology, EarlyView.
Xin Ning
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

GCN2 in proteostasis: structural logic, signalling networks and disease

The FEBS Journal, EarlyView.
Threats to protein synthesis activate the kinase GCN2, initiating the integrated stress response (ISR). GCN2 is triggered by stalled ribosomes and uncharged tRNAs, which accumulate when amino acids are scarce. The ISR adjusts cellular physiology by promoting redox balance, protein quality control, and mitochondrial optimisation.
JiaYi Zhu, Stefan J. Marciniak
wiley   +1 more source

Salivary Viscosity as a Non‐Invasive Candidate Biomarker Associated With Aspiration Risk in Oculopharyngeal Muscular Dystrophy

Journal of Oral Rehabilitation, EarlyView.
Patients with oculopharyngeal muscular dystrophy exhibit disease‐specific salivary hyperviscosity that tracks with dysphagia severity and airway invasion. Non‐invasive chairside screening of salivary viscosity may enable clinicians to stratify aspiration risk during routine care to prevent severe pulmonary complications.
Alex Zvulunov, Rawan Saif, Liraz Olmer, Merav Ben‐David, Limor Benyamini, Amir Dori, Noam Yarom, Lior Greenbaum, Ephraim Tzur, Silvina Friedlander‐Barenboim   +9 more
wiley   +1 more source

Artificial Intelligence in Neonatal Care: The Breadth of Promise, the Depth of Challenge—An Overview

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Artificial intelligence (AI) is becoming an integral tool in clinical care. The recent position statement by the Royal Australasian College of Physicians (RACP) provides a timely practical blueprint on implementing and monitoring the use of AI in clinical practice.
N. M. Lai, K. T. Yeo, J. Y. Kong, M. E. Abdel‐Latif   +3 more
wiley   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

From Executor to Orchestrator: The Pharmacology Scientist in the Age of Agentic AI

Clinical Pharmacology &Therapeutics, Volume 120, Issue 3, Page 648-662, September 2026.
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase I achieving regulatory approval remaining near 10%. Each automation wave increased throughput while leaving the interpretive bottleneck intact; scientists continued to formulate questions, evaluate ...
Michael McCoy, Matthew McCoy
wiley   +1 more source