Results 61 to 70 of about 10,579 (187)

From the Ground to the Stars: The Vertical Politics of the EU Drone Wall and Airspace Defence

JCMS: Journal of Common Market Studies, EarlyView.
Abstract This research note analyses the European Commission's Defence Readiness Roadmap 2030 as a manifestation of a new spatial and technological logic of European defence: the vertical territorialisation of security. Moving beyond traditional perimeter‐based understandings of territorial defence, the Roadmap constructs a multi‐layered continuum ...
Justinas Lingevicius, Bruno Oliveira Martins, Giacomo Bruni   +2 more
wiley   +1 more source

Dominance and toxicity without lethality: Exploring biomass, cyanometabolites, and Daphnia responses across Cyanobacterial strains

Journal of Phycology, EarlyView.
Abstract Cyanobacteria are cosmopolitan, important components of biomass with a remarkable ability to synthesize a diverse array of bioactive compounds, some of which may have toxic effects on other organisms and ecosystems. In this study, filamentous cyanobacterial strains isolated predominantly from temperate European freshwaters (Aphanizomenon ...
Łukasz Wejnerowski, Tamara Dulić, Sultana Akter, Michał Rybak, Agnieszka Piasecka, Jakub Szymkowiak, Oskar Kamiński, Anna Czerepska, Filip Pniewski, Zorica Svirčev, Ewa Poniecka, Krzysztof Zawierucha, Katarzyna Taylor, Marcin Krzysztof Dziuba, Jussi Meriluoto   +14 more
wiley   +1 more source

SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models

Visual Intelligence
Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabilities.
Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao   +9 more
doaj   +1 more source

Building centaur responders: is emergency management ready for artificial intelligence?

Disasters, Volume 50, Issue 3, July 2026.
Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte, Brittany ‘Brie’ Haupt   +1 more
wiley   +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

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

Face anti‐spoofing from the perspective of data sampling

Electronics Letters, 2023
Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
doaj   +1 more source

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

Enhancing Cloud‐Based Healthcare Security With Quantum‐Secure HealthChain: A Quantum Computing and Blockchain Integrated Framework

Health Science Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background and Aims Rising quantum hazards and flaws in conventional encryption make cloud‐based healthcare data security harder. Quantum‐Secure HealthChain, a new architecture using blockchain and quantum computing, improves medical data security, patient privacy, and data fidelity. Methods To prevent quantum attacks, the proposed system uses
Rajesh Bose, Somnath Mondal, Shrabani Sutradhar, Sujan Das, Muhammad Faheem, Sandip Roy, Arfat Ahmad Khan   +6 more
wiley   +1 more source

Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing

IEEE Access
Face Anti-Spoofing (FAS) is the core technical means used to protect face recognition systems from face presentation attack. Facial movement is a commonly used cue in FAS.
Ziyang Cheng, Xiafen Zhang
doaj   +1 more source