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Author

Mazhar Islam

Institution: Shenzhen University
Observed institution: Shenzhen University
ORCID: 0000-0002-6212-3773
Observed ORCID: 0000-0002-6212-3773
OpenAlex ID: A5084853578
CBAM Attention Gate‐Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation
2025 · Kashif Fareed, Anas Khan, et al. · International Journal of Imaging Systems and Technology · 6
A Component-Based Localization Algorithm for Sparse 3-D Wireless Sensor Networks
2024 · Mazhar Islam, Muhammad Ikram, et al. · IEEE Access · 4
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A Suspicious Anchor Detection Framework to Enhance Adversarial WSN Localization for Consumer Applications
2025 · Mazhar Islam, Muhammad Ikram, et al. · IEEE Transactions on Consumer Electronics · 2
Dynamic Analysis of a 10-Dimensional Fractional-Order Hyperchaotic System Using Advanced Hyperchaotic Metrics
2025 · Muhammad Sarfraz, Jiang Zhou, et al. · Fractal and Fractional · 2
Isometries to Analyze the Stability of Norm-Based Functional Equations in p-Uniformly Convex Spaces
2024 · Muhammad Sarfraz, Jiang Zhou, et al. · Symmetry · 2
A Transmitarray Generating Broadband Elevated-Order OAM Vortex Beams for High-Capacity Wireless Communication Systems
2025 · Muhammad Ikram, Jinyao Zhang, et al. · IEEE Antennas and Wireless Propagation Letters · 1
Enhancing Localization Precision in Range-Free WSNs via Adamic-Adar Hop Conversion and ELM
2026 · Mazhar Islam, Chongtao Guo
Vortex Beam Stability Analysis for Different Observation Plane through Transmissive Array for Millimeter-Wave Communication Systems
2026 · Muhammad Ikram, Chaoyun Song, et al. · IEEE MTT-S International Wireless Symposium (IWS)
Predictive Modeling of Idle Mode Capability for Energy Optimization in Heterogeneous Cellular and IoT Networks
2025 · Safia Amir Dahri, Muhammad Mujtaba Shaikh, et al. · IEEE Internet of Things Journal
LiteVessel : In‐Depth Exploration of Lightweight Deep Neural Network Models for Retinal Vessel Segmentation
2025 · Rasha Sarhan Alharthi, Musaed Alhussein, et al. · International Journal of Imaging Systems and Technology
Works count: 10
Citation count: 17
H-index: 2
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