Results 191 to 200 of about 1,171,833 (351)

Deep Unsupervised Machine Learning for Early Diabetes Risk Prediction using Ensemble Feature Selection and Deep Belief Neural Networks

, 2023
Olusola Olabanjo, Ashiribo Senapon Wusu, Manuel Mazzara   +2 more
openalex   +2 more sources

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

Predictors of Outcome Clusters in Patients With Unruptured Intracranial Aneurysms Treated With Microsurgery: An Unsupervised Machine Learning Analysis. [PDF]

Neurosurg Pract
Koester SW, Ciobanu-Caraus O, Naik A, Rhodenhiser EG, Scherschinski L, Eberle AT, Hartke JN, Nico E, Hackett AM, Srinivasan VM, Winkler EA, Catapano JS, Lawton MT.   +12 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

Systems analysis of leaf anatomy and transcriptome using unsupervised machine learning provides insight on photosynthesis development and evolution in non-model grasses. [PDF]

Plant Direct
Prochetto S, Stegmayer G, Studer AJ, Reinheimer R.   +3 more
europepmc   +1 more source

Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results [PDF]

, 2014
Vishwa S. Parekh, Jeremy R. Jacobs, Michael A. Jacobs   +2 more
openalex   +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

Untangling profiles of postthrombotic syndrome using unsupervised machine learning. [PDF]

Blood Adv
Iding AFJ, Ten Cate V, Ten Cate H, Wild PS, Ten Cate-Hoek AJ.   +4 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

Unsupervised Machine Learning Identifies Asthma Phenotypes in the Population-Based West Sweden Asthma Study. [PDF]

Clin Exp Allergy
Bashir MBA, Lisik D, Ermis SSO, Basna R, Abohalaka R, Ercan S, Backman H, Pullerits T, Mincheva R, Wennergren G, Rådinger M, Lötvall J, Ekerljung L, Kankaanranta H, Nwaru BI.   +14 more
europepmc   +1 more source