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Sheroz Khan on Muck Rack

Sheroz Khan

As seen in: Nature, Future Internet, MDPI
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Articles

A fixed-time fault-tolerant tracking control for fractional-order UAV networks using adaptive fuzzy neural and event-triggered mechanisms

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By Abdullah M Alnajim, Hani Moaiteq Aljahdali, Ammar Alsinai, Sundas Asghar, Sheroz Khan
| Nature Verified
Abstract This paper investigates coordinated tracking control for fractional-order fixed-wing unmanned aerial vehicle (UAV) networks subject to actuator faults, input saturation, unknown nonlinear dynamics, external disturbances, and communication constraints. A dynamic memory event-triggered fixed-time fault-tolerant control framework is developed to improve tracking accuracy, fault accommodation, and communication efficiency.
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Mitigating Distributed Denial of Service Attacks in Software-Defined Networking

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By Abdullah M Alnajim, Faisal Fahad Alotaibi, Sheroz Khan
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 8 September 2024 / Approved: 9 September 2024 / Online: 9 September 2024 (09:21:10 CEST) Alnajim, A.; Alotaibi, F.; Khan, S. Mitigating Distributed Denial of Service Attacks in Software-Defined Networking. Preprints 2024, 2024090641. https://doi.org/10.20944/preprints202409.0641.v1 Alnajim, A.; Alotaibi, F.; Khan, S. Mitigating Distributed Denial of Service Attacks in Software-Defined Networking.
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A Powerful Approach to improve Link Prediction Accuracy in Directed Social Networks based on Ensemble Learning Models and Advanced Feature Extraction Techniques

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By Sheroz Khan, Mourade Azrour, Mohamed Badiy, Fatima Amounas
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 29 August 2024 / Approved: 29 August 2024 / Online: 30 August 2024 (11:07:18 CEST) Khan, S.; Badiy, M.; Amounas, F.; Azrour, M.; Alnajim, A.; Abdulatif, A. A Powerful Approach to improve Link Prediction Accuracy in Directed Social Networks based on Ensemble Learning Models and Advanced Feature Extraction Techniques. Preprints 2024, 2024082200.
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