Results 181 to 190 of about 16,308 (300)

Comparing the Implications of Strategies for Governing the COVID‐19 Pandemic for the Political Robustness of Five European Political Regimes

open access: yesPublic Administration, EarlyView.
ABSTRACT How do the strategies that governments employ when they encounter crisis‐induced turbulence affect the robustness of the political regime in which they operate? Comparative studies of the connection between government strategies and political regime robustness under different cultural and institutional conditions are few and far between.
Eva Sørensen   +5 more
wiley   +1 more source

Reengaging Criminology in Regulation and Governance: A Synergistic Research Agenda on Regulatory Guardianship

open access: yesRegulation &Governance, EarlyView.
ABSTRACT Recent literature calls for scholars to bridge the divide that has emerged between criminology and regulation and governance. In the current work, we propose that criminological opportunity theories provide one fruitful pathway to that end.
Carole Gibbs   +3 more
wiley   +1 more source

Artificial intelligence in blood donor management: A narrative review

open access: yesVox Sanguinis, EarlyView.
Abstract Blood transfusions are vital in health care, yet maintaining an adequate and safe blood supply remains a significant challenge. To address blood donation–associated challenges, this review explores how integrating artificial intelligence (AI) technologies can improve donor recruitment, retention and management.
Maha A. Badawi
wiley   +1 more source

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems. [PDF]

open access: yesSensors (Basel), 2022
Anastasiou T   +6 more
europepmc   +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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