Results 181 to 190 of about 65,918 (309)

Collective Attention in Virtual Teams: A Pathway for Mitigating Communication Delays

open access: yesPersonnel Psychology, EarlyView.
ABSTRACT Virtual work has become a defining feature of modern organizations, intensifying the need for strategies that support virtual team performance. Communication delays—prolonged intervals between sending and receiving messages—are one of the most persistent and consequential barriers to virtual team performance.
Dorothy Carter   +9 more
wiley   +1 more source

Virtual synchronous machine control for wind turbines: a review

open access: yes, 2019
Virtual synchronous machine (VSM) control has been put up and developing for the past ten years, but not much work has been done specially focusing on its application on wind turbines (WTs). This paper gives a thorough review of the work that has been done until now about application of VSM control on WTs. Aspects on control schemes, energy storage (ES)
Lu, Liang, Cutululis, Nicolaos Antonio
openaire   +1 more source

Teaching Data Science to Diverse Learners: A Hybrid and Interdisciplinary Approach

open access: yesTeaching Statistics, EarlyView.
Abstract This paper describes the development and delivery of an introductory data science course designed for interdisciplinary master's students studying in a hybrid format, without advanced mathematics prerequisites. The course addresses the increasing need for data science skills among non‐specialists, preparing them to tackle real‐world challenges.
Stuart King, Serveh Sharifi Far
wiley   +1 more source

Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Summary of key aspects of atrial fibrosis in atrial fibrillation, highlighting atrial fibrosis as a hallmark of atrial fibrillation (AF). (1) Different types of fibrosis (blue), illustrating reparative and reactive fibrosis; (2) fibrosis detection techniques (green), illustrating late gadolinium enhancement cardiac magnetic ...
Caterina Vidal Horrach   +8 more
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

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