Results 151 to 160 of about 27,765 (261)
Uncertainty Characterization Framework for Machine Learning Based ACM in Q‐Band Satellite Links
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Adaptive coding and modulation (ACM) is a widely utilized technique in satellite communication networks to mitigate the adverse effects of rain fades, particularly in extremely high frequency (EHF) bands. As a core component of fade mitigation techniques (FMTs), ACM improves signal resilience.
Kamolideen Abolarinwa +3 more
wiley +1 more source
Calculation of the contribution rate of China's hydraulic science and technology based on a feedforward neural network. [PDF]
PLoS One, 2019 Xu R +9 more
europepmc +1 more source
Sustainable Development, EarlyView.ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley +1 more source
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 +5 more
wiley +1 more source
Evolutionary Approach to Constructing a Deep Feedforward Neural Network for Prediction of Electronic Coupling Elements in Molecular Materials. [PDF]
J Chem Theory Comput, 2019 Çaylak O, Yaman A, Baumeier B.
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 +3 more
wiley +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 +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 +3 more
wiley +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 +4 more
wiley +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source