Results 101 to 110 of about 4,702 (258)
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Forecast accuracy of demand for registered nurses and its determinants in South Korea
Background Despite the significance of demand forecasting accuracy for the registered nurse (RN) workforce, few studies have evaluated past forecasts. Purpose This paper examined the ex post accuracy of past forecasting studies focusing on RN demand and ...
Suyong Jeong
doaj +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Abstract An ecological model was developed to examine the pathways linking immigration state policies to physically safe work conditions and work volition, interpersonal discrimination, and mental health distress. The ecological framework was tested among two subsamples totaling 529 Latinx immigrant participants: (1) immigrants who resided in states ...
Germán A. Cadenas +6 more
wiley +1 more source
Background and importance Overcrowding in emergency departments (ED) is a worldwide problem and a major public health issue. Factors influencing fluctuations in admissions, such as weather conditions or road traffic, have been identified.
Mélissa Fritsch +7 more
doaj +1 more source
ABSTRACT Introduction Work‐rest allocations recommended by the American Conference of Governmental Industrial Hygienists (ACGIH) limit heat strain and are typically implemented from the onset of work. Whether delaying implementation until after the initial stay time (IST; the duration of continuous work before core temperature reaches 38.0°C) improves ...
Glen P. Kenny +6 more
wiley +1 more source

