Results 181 to 190 of about 140,490 (288)

Artificial intelligence in blood donor management: A narrative review

Vox 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

Response to the Letter to the Editor. [PDF]

Forensic Sci Int Synerg
Karie NM.
europepmc   +1 more source

Paris Olympics and Paralympics: Insights from nationwide coordination in preparedness, supply chain management and blood inventory

Vox Sanguinis, EarlyView.
Abstract The Paris 2024 Olympic Games posed a unique challenge due to their scale, associated risks and the need for robust healthcare preparedness. This review outlines the forecasting and anticipatory measures taken by the Etablissement français du sang (EFS) to ensure a resilient blood supply chain throughout the event.
Jean‐Baptiste Thibert, Hervé Meinrad, Thibaut Bocquet, Marjolaine Jacques, Thierry Baudonet, Pierre Tiberghien, Sabine Cléophax, Syria Laperche, Pierre Gallian, Sophie Le Cam   +9 more
wiley   +1 more source

Terrorism, Perceived Threat, and Support for Surveillance: A Virtual Reality Experiment on Cyber vs. Conventional Terrorism. [PDF]

Int J Environ Res Public Health
Snider KLG, Cohen A, Bello GD, Baratz G, Hasler BS, Canetti D.   +5 more
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied 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, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Guarding against malicious biased threats (GAMBiT) datasets: Revealing cognitive bias in human-subjects red-team cyber range operations. [PDF]

Data Brief
Beltz B, Doty J, Fonken Y, Gurney N, Israelsen B, Lau N, Marsella S, Thomas R, Trent S, Wu P, Yang YT, Zhu Q.   +11 more
europepmc   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework. [PDF]

Sci Rep
Alqahtani O, Dileep MR, Ghouse M, Vidya Sagar SD, Rallapalli S, Danti A.   +5 more
europepmc   +1 more source

Futures of Everyday Life: A Qualitative Content Analysis of Future Personas in Scenarios

FUTURES &FORESIGHT SCIENCE, Volume 8, Issue 1, April 2026.
ABSTRACT Scenario reports, holding a long‐standing tradition in foresight and futures studies, act as an essential document for organizations to prepare for possible, plausible, and alternative futures. Focusing on descriptions and representations of everyday life, we examined 29 future persona narratives from six publications—covering a wide field ...
Gerhard Schönhofer, Pauli Komonen, Jan Oliver Schwarz, Laura Bechthold   +3 more
wiley   +1 more source

Korea-UK collaboration in cyber security: from issues and challenges to sustainable partnership [PDF]

, 2014
Trim, Peter R.J., Youm, H.Y.
core