Hashim Elshafie

Orcid: 0000-0002-5111-3764

According to our database1, Hashim Elshafie authored at least 18 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
A secure and scalable home security system using IoT, 6G networks, AI-based hybrid deep learning models, blockchain, and smart contracts.
Int. J. Inf. Sec., February, 2026

A novel blockchain-federated learning framework with quantum neural networks and wavelet transforms for secure IoT healthcare monitoring.
Biomed. Signal Process. Control., 2026

2025
Dynamic-timeout prediction and proactive eviction for SDN flow table overflow mitigation.
Clust. Comput., September, 2025

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects.
PeerJ Comput. Sci., 2025

Performance of M-QAM MIMO PNC Based on MRC and ZR Techniques.
IEEE Open J. Commun. Soc., 2025

A new segment routing with NEMO BSP based distributed mobility management approach in smart city network.
J. Netw. Comput. Appl., 2025

A stochastic Geometry Approach for Relay-Assisted Uplink Multicell Networks.
Comput. Networks, 2025

Analyzing Relationships Between Success Factors of Project Management in Global Software Development.
IEEE Access, 2025

Label-Free Biomolecule Detection With InP/AlGaAs Charge Plasma Dielectric-Modulated Vertical TFET Using TaN as Metal Gate.
IEEE Access, 2025

2024
Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction.
Evol. Intell., August, 2024

Harnessing Intelligent RIS for Optimized Capacity and Latency in 6G Cooperative NOMA Systems: A Phase Shift Control Approach.
Int. J. Softw. Sci. Comput. Intell., 2024

Brain Tumor Classification Using an Ensemble of Deep Learning Techniques.
IEEE Access, 2024

Potential Sharing in TV Band using Cognitive Wireless Networks.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Quantifying the Availability of TV White Space for Cognitive Radio in Malaysia.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Cognitive Architecture Based Spectrum Sharing between 4G LTE-Advanced Network and TV Band.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Positional Analysis of Spectrum Sharing Between IEEE 80.16 and TV Band.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2015
VHF Band Utilization Measurement for Cognitive Radio Application in Malaysia.
Wirel. Pers. Commun., 2015


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