Results 171 to 180 of about 49,758 (267)

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

Safety Science and Technology, EarlyView.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu, Mingshu Bi, Zilong Deng, Di Yu, Jingjing Yang, Jingjie Ren   +5 more
wiley   +1 more source

Acupuncture Combined with Core Stability Exercise for Pain, Function, and Postural Control Impairments in Chronic Low Back Pain: A Randomized Controlled Trial Protocol. [PDF]

J Pain Res
Xiao W, Pan Z, Wang L, Chen S, Hu L, Han S, Le R, Zhang T, Ding Z, Wang M, Liu C, Li Z.   +11 more
europepmc   +1 more source

Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi, Jiarui Li, Tatsuji Kimura, Hiroaki Nishi   +3 more
wiley   +1 more source

Sparse Coding and Temporal Pattern Learning Co-Mediated by Dual Spike-Timing-Dependent Plasticity in a Multilayer Excitatory-Inhibitory Spiking Network. [PDF]

Biomimetics (Basel)
Yuan C, Wang D, Li X, Gao X.
europepmc   +1 more source

A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi, Jiarui Li, Tatsuji Kimura, Hiroaki Nishi   +3 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Disorders of the Basal Ganglia and Cerebellum: A Comprehensive Review of Speech Sensorimotor Symptoms and Responses to Feedback Perturbations. [PDF]

Neurobiol Lang (Camb)
Wang H, Max L.
europepmc   +1 more source

Highly Configurable Evolutionary Multi‐Objective Optimisation and Application in UAV Path Planning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Multi‐objective optimisation is crucial in engineering and real‐world decision‐making. Although traditional decomposition‐based approaches such as MOEA/D yield reasonable results, they depend heavily on expert knowledge. Existing MetaBBO approaches partially alleviate this reliance, however, they offer limited configurability and lack real ...
Kaixu Chen, Yue‐Jiao Gong, Hongshu Guo, Weijia Cao, Jun Zhang   +4 more
wiley   +1 more source

Effects of sensorimotor delays and muscle force capacity limits on the performance of feedforward and feedback control in animals of different sizes. [PDF]

PLoS Comput Biol
Mohamed Thangal SN, More HL, Remy CD, Donelan JM.   +3 more
europepmc   +1 more source