Results 171 to 180 of about 234,090 (282)
Analysis of Biomechanical Characteristics of Bone Tissues Using a Bayesian Neural Network: A Narrative Review. [PDF]
J Funct BiomaterBeisekenov N +3 more
europepmc +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Advanced Intelligent Systems, EarlyView.Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network. [PDF]
HeliyonJoumah AA, Jafar A, Albitar C.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon. [PDF]
Sensors (Basel)Vien BS, Kuen T, Rose LRF, Chiu WK.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
Advanced Intelligent Systems, EarlyView.This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Bayesian methods for neural networks [PDF]
, 1995 Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a potential solution to the ...
openaire
Hub genes and diagnostic model associated with mitochondrial function in Alzheimer's disease
Animal Models and Experimental Medicine, EarlyView.Alzheimer's disease (AD) is the most common neurodegenerative disorder, and mitochondrial dysfunction has been confirmed in AD patients and mouse models. However, the pathogenic genes associated with AD and early diagnostic methods based on mitochondrial function remain to be explored.
Xuchao Zhu, Ling Zhang, Chuan Qin
wiley +1 more source
Arthritis &Rheumatology, EarlyView.Objectives The aim of this study is to generate hypotheses about unknown drugs associated with the onset or worsening of Raynaud's phenomenon (RP) and to explore their potential pathophysiologic mechanisms through a mixed disproportionality/clustering analysis from the World Health Organization (WHO) pharmacovigilance database.
Alex Hlavaty +4 more
wiley +1 more source