Results 121 to 130 of about 1,735,174 (276)

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
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, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
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, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Runtime prediction of parallel applications with workload-aware clustering

, 2017
Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used.
박주원, 김은혜
core  

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
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, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Immigrant mental health, safe work, discrimination, and state policies: From racism and xenophobia to health equity

American Journal of Community Psychology, EarlyView.
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, Thanharat Silamongkol, H. Kenny Nienhusser, Fiorella L. Carlos Chavez, Cristalís Capielo Rosario, Lucas Torres, Oswaldo Moreno   +6 more
wiley   +1 more source

Timing of Work‐Rest Implementation Influences Worker Productivity Under Heat Stress: Evidence for Initial Stay Time‐Based Scheduling

American Journal of Industrial Medicine, EarlyView.
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, Kelli E. McCormick, Katie E. Wagar, Roberto C. Harris‐Mostert, James J. McCormick, Leonidas G. Ioannou, Fergus K. O'Connor   +6 more
wiley   +1 more source

Occupational Vulnerability to AI‐Driven Change: The Role of Skill Composition, Task Structure, and Psychosocial Buffers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Automation risk is often framed as a question of which jobs can be automated. This perspective neglects how the structure of work itself shapes workers' vulnerability to AI‐driven change. In occupational health research, job characteristics such as autonomy, task variety, and social interaction are known to influence worker well ...
Thinuri Welithotage, Behdin Nowrouzi‐Kia   +1 more
wiley   +1 more source

Predicting Human Teammate's Workload

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Mark-Robin Giolando, Julie A. Adams
openaire   +1 more source

Initial Stay Time and Work‐Rest Scheduling During Consecutive Heavy‐Intensity Workdays in Hot Environments in Young and Older Males

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Introduction This study examined initial stay times (IST), defined as the duration of uninterrupted work before core temperature approaches recommended safety limits (38.0°C, ~1.0°C above baseline), and the efficacy of work‐rest cycles during repeated heavy work across consecutive workdays in young and older males.
Glen P. Kenny, Gil Bourgois, Sarah M. Taggart, Kelli E. McCormick, James J. McCormick, Leonidas G. Ioannou, Fergus K. O'Connor   +6 more
wiley   +1 more source