Ahmed Zoha

Orcid: 0000-0001-7497-9336

According to our database1, Ahmed Zoha authored at least 60 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
A Digital Twin (DT) approach to Narrow-Band Internet of Things (NB-IoT) wireless communication optimization in an industrial scenario.
Internet Things, April, 2024

A QoS-Aware Service-Driven Network Selection for HWNs Based on MARCOS and Utility Functions.
IEEE Open J. Commun. Soc., 2024

Leveraging IRS Induced Time Delay for Enhanced Physical Layer Security in VLC Systems.
CoRR, 2024

Short-term global horizontal irradiance forecasting using weather classified categorical boosting.
Appl. Soft Comput., 2024

A Hybrid Approach for Forecasting Occupancy of Building's Multiple Space Types.
IEEE Access, 2024

Energy Efficiency and Latency Optimization for IoT URLLC and mMTC Use Cases.
IEEE Access, 2024

Integrating Millimeter-Wave FMCW Radar for Investigating Multi-Height Vital Sign Monitoring.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Performance Evaluation of IRS-Assisted Intra-cell Handover in Vision-Aided mmWave Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
A Privacy and Energy-Aware Federated Framework for Human Activity Recognition.
Sensors, December, 2023

Coverage and throughput analysis of an energy efficient UAV base station positioning scheme.
Comput. Networks, August, 2023

Intelligent Beam Blockage Prediction for Seamless Connectivity in Vision-Aided Next-Generation Wireless Networks.
IEEE Trans. Netw. Serv. Manag., June, 2023

Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks.
Sensors, April, 2023

A Two-Stage Multi-Agent EV Charging Coordination Scheme for Maximizing Grid Performance and Customer Satisfaction.
Sensors, March, 2023

FedraTrees: A novel computation-communication efficient federated learning framework investigated in smart grids.
Eng. Appl. Artif. Intell., 2023

Achieving 45% efficiency of CIGS/CdS Solar Cell by adding GaAs using optimization techniques.
CoRR, 2023

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition.
CoRR, 2023

Federated Learning for Reliable mmWave Systems: Vision-Aided Dynamic Blockages Prediction.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Defending Federated Learning from Backdoor Attacks: Anomaly-Aware FedAVG with Layer-Based Aggregation.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Vision-Assisted Beam Prediction for Real World 6G Drone Communication.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Blockchain-Empowered Immutable and Reliable Delivery Service (BIRDS) Using UAV Networks.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

2022
Data portability for activities of daily living and fall detection in different environments using radar micro-doppler.
Neural Comput. Appl., 2022

Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks.
Future Gener. Comput. Syst., 2022

FedTrees: A Novel Computation-Communication Efficient Federated Learning Framework Investigated in Smart Grids.
CoRR, 2022

Intelligent Blockage Prediction and Proactive Handover for Seamless Connectivity in Vision-Aided 5G/6G UDNs.
CoRR, 2022

FedClamp: An Algorithm for Identification of Anomalous Client in Federated Learning.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Employing a Wearable Eye-tracker to Observe Mind-wandering in Dynamic Stimuli.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Feature Selection Mechanism for Attention Classification using Gaze Tracking Data.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Solar Energy Systems Design in 2D and 3D: A Comparison of User Vital Signs.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Self-Directed Learning using Eye-Tracking: A Comparison between Wearable Head-worn and Webcam-based Technologies.
Proceedings of the IEEE Global Engineering Education Conference, 2022

EXECUTE: Exploring Eye Tracking to Support E-learning.
Proceedings of the IEEE Global Engineering Education Conference, 2022

Teaching Solar Energy Systems Design using Game-Based Virtual Reality.
Proceedings of the IEEE Global Engineering Education Conference, 2022

2021
F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes.
Sensors, 2021

Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges.
CoRR, 2021

A Hybrid Data Manipulation Approach for Energy and Latency-Efficient Vision-Aided UDNs.
Proceedings of the Eighth International Conference on Software Defined Systems, 2021

Indoor Activity Position and Direction Detection Using Software Defined Radios.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2021

When Federated Learning Meets Vision: An Outlook on Opportunities and Challenges.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2021

2020
An Outlook on the Interplay of Artificial Intelligence and Software-Defined Metasurfaces: An Overview of Opportunities and Limitations.
IEEE Veh. Technol. Mag., 2020

Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning.
Sensors, 2020

Intelligent handover decision scheme using double deep reinforcement learning.
Phys. Commun., 2020

An Outlook on the Interplay of AI and Software-Defined Metasurfaces.
CoRR, 2020

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review.
IEEE Access, 2020

2019
Reinforcement Learning driven Energy Efficient Mobile Communication and Applications.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018
Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization.
IEEE Trans. Mob. Comput., 2018

A Review on the Role of Nano-Communication in Future Healthcare Systems: A Big Data Analytics Perspective.
IEEE Access, 2018

Can Temperature Be Used as a Predictor of Data Traffic? A Real Network Big Data Analysis.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2016
A Cell Outage Management Framework for Dense Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2016

A learning-based approach for autonomous outage detection and coverage optimization.
Trans. Emerg. Telecommun. Technol., 2016

2015
Predicting complex events for pro-active IoT applications.
Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

Data-driven analytics for automated cell outage detection in Self-Organizing Networks.
Proceedings of the 11th International Conference on the Design of Reliable Communication Networks, 2015

Energy efficient resource allocation for 5G Heterogeneous Networks.
Proceedings of the 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, 2015

2014
Load disaggregation and monitoring in a smart office space.
PhD thesis, 2014

Challenges in 5G: how to empower SON with big data for enabling 5G.
IEEE Netw., 2014

A SON solution for sleeping cell detection using low-dimensional embedding of MDT measurements.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

2013
Low-power appliance monitoring using Factorial Hidden Markov Models.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2012
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey.
Sensors, 2012

Acoustic and device feature fusion for load recognition.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012


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