Results 161 to 170 of about 6,131,436 (285)

Exploring unsupervised learning techniques for early detection of myocardial ischemia in type 2 diabetes. [PDF]

Front Endocrinol (Lausanne)
Liu B, Hou YJ, Wu P, Han X, Qi H, Yang XY, Wu ZF, Li SJ.   +7 more
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. [PDF]

Sensors (Basel)
Nesackon Abraham J, Tran MQ, Jayaraj JS, Matos JC, Valluzzi MR, Dang SN.   +5 more
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

Technical classification of professional cycling stages using unsupervised learning: implications for performance variability. [PDF]

Front Sports Act Living
Garcia-Atutxa I, Dudagoitia Barrio E, Villanueva-Flores F.   +2 more
europepmc   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

Advanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese, Ignacio Tabares, Wei Wang, Marcos Soldera, Andrés Fabián Lasagni   +4 more
wiley   +1 more source

Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models. [PDF]

BMC Womens Health
Tricoche BT, Caceres BA, Shaw LJ, Garber CE, Konigorski S, Kolli S, Fuchs TJ, Ensari I.   +7 more
europepmc   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

Advanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav, Milad Masrouri, Zhao Qin   +2 more
wiley   +1 more source

Fault Detection in MV Switchgears Through Unsupervised Learning of Temperature Conditions. [PDF]

Sensors (Basel)
Iadarola G, Mingotti A, Negri V, Spinsante S.   +3 more
europepmc   +1 more source

RT‐DETR‐DA for Complex Scenes: Distracted Driving Detection With Feature Interaction and Dynamic Perception

Advanced Intelligent Systems, EarlyView.
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu, QiaoXing Li, XiBin Wang, Ying He, Sen Zhang   +4 more
wiley   +1 more source