Results 261 to 270 of about 61,624 (324)

Federated Learning Framework for Efficient and Secure Anomaly Detection in Industrial Control Systems

open access: yesJournal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.
Industrial control systems (ICS) are increasingly vulnerable to cybersecurity threats due to the integration of IoT devices and operational technology networks. Traditional centralized anomaly detection methods face significant challenges, including privacy concerns, bandwidth limitations, and single points of failure.
Emmanuel Osei Owusu   +5 more
wiley   +1 more source

Laser Welding Strength Prediction Using Neural Network Techniques

open access: yesJournal of Engineering, Volume 2026, Issue 1, 2026.
Laser welding stands out as one of the most precise and efficient manufacturing techniques, with its ability to generate minimal heat‐affected zones and limit material distortion. This study introduces a cutting‐edge neural network–based predictive model designed to estimate tensile strength and welding deformation in laser welding operations.
Rahul Shivaji Yadav   +8 more
wiley   +1 more source

Enhanced IoT Security: Blockchain, Cryptography, and CNN Integration for Mask Detection

open access: yesJournal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Security concerns have become paramount, especially with the increasing reliance on facial recognition technology for identity verification. The use of masks, while essential for health protection, poses a significant challenge for these systems, hindering accurate identification.
Imen Hagui   +3 more
wiley   +1 more source

New Inequalities and an Integral Expression for the 𝒜‐Berezin Number

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
This work examines a reproducing kernel Hilbert space XF,·,· constructed on a nonempty set F. Our investigation focuses on the A‐Berezin number and the A‐Berezin norm, where A denotes a positive bounded linear operator acting on XF. For an A‐bounded linear operator B, the A‐Berezin seminorm is defined by BberA=supλ,ν∈FBu∧λ,u∧νA, where u∧λ and u∧ν are ...
Salma Aljawi   +4 more
wiley   +1 more source

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