Results 181 to 190 of about 432 (243)

Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]

Front Artif Intell
Shameli R, Rajkumar S.
europepmc   +1 more source

Guanxi and Wasta: 20 Years of Evolution and Future Directions for Informal Network Research

Thunderbird International Business Review, EarlyView.
ABSTRACT This article provides an examination of the evolution of networking in China and the Arab world over two decades and provides an update to, and new insights arising from, an article called Guanxi and Wasta; A Comparison, published in Thunderbird International Business Review in 2006.
Kate Hutchings, David Weir, Sa'ad Ali, Sven Horak   +3 more
wiley   +1 more source

Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems. [PDF]

Sci Rep
Rajalakshmi M, Velmurugan T.
europepmc   +1 more source

Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review. [PDF]

Sensors (Basel)
Alotaibi B.
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Enhanced botnet detection in IoT networks using zebra optimization and dual-channel GAN classification. [PDF]

Sci Rep
Shareef SKK, Chaitanya RK, Chennupalli S, Chokkakula D, Kiran KVD, Pamula U, Vatambeti R.   +6 more
europepmc   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms. [PDF]

Sci Rep
Jayanthi S, Bavirthi SS, Murali P, Kumar KV, Alkahtani HK, Ishak MK, Mostafa SM.   +6 more
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source