Results 271 to 280 of about 96,849 (322)

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, Volume 43, Issue 3, Page 1116-1132, May/June 2026.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network. [PDF]

Sci Rep
Samuel J, Murugan TK, Govindaraj L, Balaji M, SenthilKumar V, Sundararajan S.   +5 more
europepmc   +1 more source

Traceable Metamorphic Test Cases for Robust Safety‐Critical Systems: A Deep Learning LiDAR Object Detector Example

Software Testing, Verification and Reliability, Volume 36, Issue 3-4, May–June 2026.
Metamorphic testing faces the challenge of providing a traceable argumentation for why a certain metamorphic relation (MR) was chosen. We propose a methodology to create MRs by linking them to defect hypotheses. We identify eight defect‐based MRs and show how failures can be prioritized by adjusting test evaluation parameters.
Simon Speth, Tobias Springer, Jannik Fischbach, Alexander Pretschner   +3 more
wiley   +1 more source

STS-AT: A Structured Tensor Flow Adversarial Training Framework for Robust Intrusion Detection. [PDF]

Sensors (Basel)
Zhu J, Chen Z, Cong R, Sun H, Dong Y.
europepmc   +1 more source

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces [PDF]

Eitan Shaar, Ariel Shaulov, Yalcin Tur, Gal Chechik, Ravid Shwartz-Ziv   +4 more
openalex  

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]

Sci Rep
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc   +1 more source

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images

Australasian Journal of Dermatology, Volume 67, Issue 3, Page e169-e175, May 2026.
ABSTRACT Background/Objectives Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction of capsule networks (CNs).
Hayley Chai, Stephen Gilmore
wiley   +1 more source

Enhancing adversarial resilience in semantic caching for secure retrieval augmented generation systems. [PDF]

Sci Rep
Afiffy M, Fakhr MW, Maghraby FA.
europepmc   +1 more source

On account of doomsday

American Ethnologist, Volume 53, Issue 2, Page 159-170, May 2026.
Abstract In recent years, Berlin has emerged as an epicenter of climate activism in Germany. There, a range of groups have mobilized in opposition to the role of the German state and the EU in accelerating the climate crisis. Many activists now see conventional political responses as exhausted and have turned to increasingly radical forms of civil ...
Max Jack
wiley   +1 more source