Results 191 to 200 of about 3,303,308 (295)

A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries. [PDF]

Glob Chall
Subramanian S, Paulraj P, Subramanian R, Narayanan L, Perumal H, Abidi MH, Alkhalefah H, Qudeiri JEA, Salunkhe S.   +8 more
europepmc   +1 more source

Large Language Models and Agentic AI for Vulnerability Management: A Systematic Review

Expert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT Large Language Models (LLMs), pretrained language and code models and agentic artificial intelligence are increasingly being investigated across the vulnerability‐management lifecycle. However, the evidence remains fragmented across code‐level prediction, vulnerability‐intelligence enrichment, exploit‐oriented evaluation, automated repair and ...
Yasamin Akrami, Malek Malkawi, Reda Alhajj   +2 more
wiley   +1 more source

Identifiability-Aware, Cost-Aware Triage of Physical Faults and Measurement-Integrity Anomalies in Energy Cyber-Physical Systems. [PDF]

Sensors (Basel)
Ma F, Dang Y, Liu Y, Zhou T.
europepmc   +1 more source

Epistemic Capabilities of Artificial Intelligence for Public Administration and Policy Research: A Framework for Scholarship in the Age of Intelligent Machines

Policy Studies Journal, Volume 54, Issue 4, November 2026.
ABSTRACT Artificial intelligence (AI) has gained much interest in public administration and public policy fields in recent years. Research on and that uses AI has so far treated it as an object or context within the broader administrative and governance discourse.
Yanto Chandra, Jianxiang Tan
wiley   +1 more source

AI-Driven Problem Solving for Cyber-Physical Systems Security: An Assessment Framework. [PDF]

Sensors (Basel)
Kulothungan V, Gupta D, Dhakal R, Kandel LN.   +3 more
europepmc   +1 more source

Efficiency of Machine Learning Methods in Information Security Audit Tasks: A Comparative Analysis

Applied Research, Volume 5, Issue 5, October 2026.
Machine learning methods enable accurate identification of processor instruction architectures from byte‐frequency characteristics of executable files. Among the evaluated models, Linear SVC achieved the highest classification performance, demonstrating the potential of AI‐driven approaches for automated information security auditing and digital ...
Z. B. Mukhtarova, K. Е. Izrailov, A. T. Zharkimbekova, A. S. Baitulakov, D. Sagidullauly, А. A. Kyttybek   +5 more
wiley   +1 more source

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions. [PDF]

Front Big Data
Singhal S, Kumar KA.
europepmc   +1 more source

SBOM Tooling Ecosystem: A Systematic Literature Review

Applied Research, Volume 5, Issue 5, October 2026.
This systematic review shows that no single SBOM generation method consistently delivers accurate and complete results across software ecosystems. Hybrid, ecosystem‐aware approaches—supported by improved metadata, runtime context, and developer usability—offer the strongest direction for trustworthy software supply‐chain transparency.
Mohd Nizam Mohd. Mydin, Delina Mei Yin Beh, Shafiza Mohd. Shariff   +2 more
wiley   +1 more source

Explainability-driven adaptive cyber deception control system for autonomous network defense. [PDF]

Sci Rep
Roy SD, Khekare G, Chhajed S.
europepmc   +1 more source

FedLucra: Federated Learning With Loss‐Utility Controlled Robust Aggregation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Federated learning enables collaborative model training without centralizing private data. However, conventional aggregation strategies generally determine client contributions primarily according to local data volume and do not directly consider differences in local model performance. To address this limitation, we propose FedLucra, a modular
Emin Akpinar, Murat Taskiran, Bulent Bolat   +2 more
wiley   +1 more source