Results 131 to 140 of about 264,591 (190)

Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders. [PDF]

Front Physiol
Gutiérrez-Fernández M, López-Linares K, Fambuena-Santos C, Guillem MS, Climent AM, Barquero-Pérez Ó.   +5 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Machine Learning Prediction of Analyte-Induced Fluorescence Perturbations in DNA-Functionalized Carbon Nanotubes. [PDF]

Nano Lett
Chakraborty S, Krasley AT, Smith CH, Beyene AG, Vuković L.   +4 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
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, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks.

JAMA Psychiatry
Pan N, Long Y, Qin K, Pope IZ, Chen Q, Zhu Z, Cao Y, Li L, Singh MK, McNamara RK, DelBello MP, Chen Y, Fornito A, Gong Q.   +13 more
europepmc   +1 more source

DualGCN-GE: integration of spatiotemporal representations from whole-blood expression data with dual-view graph convolution network to identify Parkinson's disease subtypes. [PDF]

BMC Bioinformatics
Zhang W, Xu Z, Yu R, Jiang M, Dai Q.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Agyemang EF, Shmookler Reis RJ.   +2 more
europepmc   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source