Results 201 to 210 of about 38,896 (265)

PF-AGCN: an adaptive graph convolutional network for protein-protein interaction-based function prediction. [PDF]

Bioinformatics
Yang S, Su Y, Lin Y, Lin Q, Chen Z.
europepmc   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm. [PDF]

Sci Rep
Yassen MA, Alhussan AA, Abdel-Fattah MG, Ismael I, El Deen Salah Mostafa H, El-Kenawy EM.   +5 more
europepmc   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis. Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and interrater variability.
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Multi-view fusion based on graph convolutional network with attention mechanism for predicting miRNA related to drugs. [PDF]

PLoS Comput Biol
Sheng N, Liu Y, Gao L, Wang L, Huang L, Wang Y.   +5 more
europepmc   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source

Spatial domain identification method based on multi-view graph convolutional network and contrastive learning. [PDF]

PLoS Comput Biol
Liang X, Xiao S, Ba L, Feng Y, Ma Z, Adilova F, Qi J, Jin S.   +7 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network

Dissanayake D, Brunner V, Adlard D, Morrone JA, Fowler PW.   +4 more
europepmc   +1 more source