Ibrahim Yousef Alshareef
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ibrahim Yousef Alshareef has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Ab Al-Hadi Ab Rahman
Universiti Teknologi Malaysia
2 shared publications - Mohamed Khalafalla Hassan
Faculty of Telecommunication and Space Technology, Future University, Khartoum, Sudan
2 shared publications - Nuzhat Khan
VeCAD Research Lab, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
2 shared publications - Ahmad Zuri Sha’aMeri
School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
1 shared publication - Ali Manzak
University of Detroit Mercy
1 shared publication - Habib Hamam
Faculty of Engineering, Uni de Moncton, Moncton, Canada
1 shared publication
Latest Publications
- 15 April 2026
- Published by Elsevier in Knowledge-Based Systems
- Vol. 343
ReLU-DCT and LASP: Real-valued frequency-domain activations and adaptive pooling for DCT-Based CNNs
- 15 April 2026
- Published by Elsevier in Knowledge-Based Systems
- Vol. 343
ReLU-DCT and LASP: Real-valued frequency-domain activations and adaptive pooling for DCT-Based CNNs
- 14 April 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Networking Letters
- Vol. 8, 301-305
RSDD: Resilient Statistical Drift Detection for vSDN Hypervisors
Sixth-Generation (6G) virtualized Software-Defined Networks (vSDNs) require hypervisors that remain stable under non-stationary and bursty traffic. Existing systems, including DLVisor, still rely on a single Anderson–Darling test, which reacts poorly to gradual or variance-driven distributional shifts. This work introduces a unified drift-aware hypervisor, the Resilient Statistical Drift Detection (RSDD) framework, combining KSWIN, Page–Hinkley, Jensen–Shannon divergence, and variance monitoring into a consensus drift-severity index that guides an xLSTM forecaster and cost-aware slice reallocator. Experiments on Tier-2 ISP traces show RSDD significantly reduces overutilization events while maintaining SLA-compliant bandwidth allocation.
- 14 April 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Networking Letters
- Vol. 8, 301-305
RSDD: Resilient Statistical Drift Detection for vSDN Hypervisors
Sixth-Generation (6G) virtualized Software-Defined Networks (vSDNs) require hypervisors that remain stable under non-stationary and bursty traffic. Existing systems, including DLVisor, still rely on a single Anderson–Darling test, which reacts poorly to gradual or variance-driven distributional shifts. This work introduces a unified drift-aware hypervisor, the Resilient Statistical Drift Detection (RSDD) framework, combining KSWIN, Page–Hinkley, Jensen–Shannon divergence, and variance monitoring into a consensus drift-severity index that guides an xLSTM forecaster and cost-aware slice reallocator. Experiments on Tier-2 ISP traces show RSDD significantly reduces overutilization events while maintaining SLA-compliant bandwidth allocation.
- 14 January 2026
- Published by Elsevier in Applied Soft Computing
- Vol. 191
End-to-end discrete cosine transform integration in spectral convolutional neural networks for resource-efficient deep learning
- 14 January 2026
- Published by Elsevier in Applied Soft Computing
- Vol. 191
End-to-end discrete cosine transform integration in spectral convolutional neural networks for resource-efficient deep learning