Results 181 to 190 of about 62,210 (284)

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation

Applied AI Letters, Volume 7, Issue 2, June 2026.
ABSTRACT Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. We use a reasonable statistical model for the classifiers required to compute the Shapley value to provide repeatable and rigorous analysis in the anomaly localization application.
Rick S. Blum, Xubin Fang, Franziska Freytag   +2 more
wiley   +1 more source

Prediction-based attack detection and mitigation mechanism in power system. [PDF]

Sci Rep
Zhai P, Zhang M, Wang X.
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

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning. [PDF]

Sci Rep
Farsi M, Alwateer M, Alsaedi SA, AlSahafi AI, Balaha HM, Aboelnaga MM, Badawy M, Elhosseini MA.   +7 more
europepmc   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

eFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, Temesgen Anjulo Ageru   +9 more
wiley   +1 more source

Sparse-selective quantization for real-time cyber threat detection in large-scale networks. [PDF]

PLoS One
Xie Y, Wang R, Dong L.
europepmc   +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

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure. [PDF]

Sci Rep
Kumar B, Gupta SK, Dwivedi R, Alsekai DM, AbdElminaam DS, Kilickaya O.   +5 more
europepmc   +1 more source

Exploring the microfoundations of organizational risk exposure: Risk perception, risk management and cross‐level mechanisms

Journal of Occupational and Organizational Psychology, Volume 99, Issue 2, June 2026.
Abstract Organizational risk exposure arises from external sources and internal activities intended to reduce the potential for risks to cause harm. While organizational risk exposure is necessary to realize opportunities, misalignment between risk management and risk exposure may achieve the opposite outcomes.
Emma Soane
wiley   +1 more source

Cyber attack and fault detection in DC microgrids by designing an event-triggered based-robust algorithm. [PDF]

Sci Rep
Hosseini Rostami SM, Pourgholi M, Asharioun H.   +2 more
europepmc   +1 more source