Aiman Erbad - researchr alias

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Viewing Publication 1 - 100 from 188

2024

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing AllocationAmr Abo-eleneen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed 0001. ccnc 2024: 71-76 [doi]

Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT SystemHela Chamkhia, Aiman Erbad, Amr Mohamed 0001, Ahmed Refaey Hussein, Abdulla Khalid Al-Ali, Mohsen Guizani. iotj, 11(2):2027-2042, January 2024. [doi]

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT SystemsAli Ghubaish, Zebo Yang, Aiman Erbad, Raj Jain. iotj, 11(8):13247-13256, April 2024. [doi]

Edge-Assisted Opportunistic Federated Learning for Distributed IoT SystemsNoor Khial, Alaa Awad Abdellatif, Amr Mohamed 0001, Aiman Erbad, Carla-Fabiana Chiasserini. ccnc 2024: 604-605 [doi]

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple JammersZain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mounir Hamdi. ojcs, 5:15-37, 2024. [doi]

2023

CODE: Computation Offloading in D2D-Edge System for Video StreamingMuhammad Asif Khan 0001, Emna Baccour, Aiman Erbad, Ridha Hamila, Mounir Hamdi. sj, 17(3):4014-4025, September 2023. [doi]

Distributed Inference in Resource-Constrained IoT for Real-Time Video SurveillanceMuhammad Asif Khan 0001, Ridha Hamila, Aiman Erbad, Moncef Gabbouj. sj, 17(1):1512-1523, March 2023. [doi]

Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond NetworksAlaa Awad Abdellatif, Amr Abo-eleneen, Amr Mohamed 0001, Aiman Erbad, Nikhil V. Navkar, Mohsen Guizani. tnsm, 20(2):1024-1039, June 2023. [doi]

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research IssuesAlaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. iotj, 10(24):21982-22007, dec15 2023. [doi]

Reliable Federated Learning for Age Sensitive Mobile Edge Computing SystemsAlaa Awad Abdellatif, Mhd Saria Allahham, Noor Khial, Amr Mohamed 0001, Aiman Erbad, Khaled B. Shaban. icc 2023: 1622-1627 [doi]

Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL ApproachMohammed Seid Abegaz, Hayla Nahom Abishu, Yasin Habtamu Yacob, Tewodros Alemu Ayall, Aiman Erbad, Mohsen Guizani. tnsm, 20(1):166-181, March 2023. [doi]

Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A ReviewAfshan Ahmed, Muhammad Munwar Iqbal, Sohail Jabbar, Muhammad Ibrar, Aiman Erbad, Houbing Song. tits, 24(12):13548-13572, December 2023. [doi]

An Efficient Hierarchical Mobile IPv6 Group-Based BU Scheme for Mobile Nodes in IoT NetworkAfshan Ahmed, Sohail Jabbar, Muhammad Munwar Iqbal, Muhammad Ibrar, Aiman Erbad, Houbing Song. iotj, 10(10):8684-8695, May 2023. [doi]

Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge LearningAbdullatif Albaseer, Mohamed M. Abdallah 0001, Ala I. Al-Fuqaha, Aiman Erbad. tsmc, 53(9):5848-5860, September 2023. [doi]

Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask LearningAbdullatif Albaseer, Mohamed M. Abdallah 0001, Ala I. Al-Fuqaha, Abegaz Mohammed Seid, Aiman Erbad, Octavia A. Dobre. tnsm, 20(2):1502-1516, June 2023. [doi]

SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart ContractsIsra Mohamed Ali, Noureddine Lasla, Mohamed M. Abdallah 0001, Aiman Erbad. jnca, 216:103658, July 2023. [doi]

Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation LearningMaregu Assefa, Wei Jiang 0016, Kumie Alemu Gedamu, Getinet Yilma, Deepak Adhikari, Melese Ayalew, Abegaz Mohammed Seid, Aiman Erbad. tcsv, 33(11):6679-6692, November 2023. [doi]

Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G NetworksEmna Baccour, Mhd Saria Allahham, Aiman Erbad, Amr Mohamed 0001, Ahmed Refaey Hussein, Mounir Hamdi. cm, 61(2):110-116, February 2023. [doi]

Dynamic Pruning for Distributed Inference via Explainable AI: A Healthcare Use CaseEmna Baccour, Aiman Erbad, Amr Mohamed 0001, Mounir Hamdi, Mohsen Guizani. icc 2023: 3394-3400 [doi]

Video transcoding at the edge: cost and feasibility perspectiveSyed Muhammad Ammar Hassan Bukhari, Kashif Bilal, Aiman Erbad, Amr Mohamed 0001, Mohsen Guizani. cluster, 26(1):157-180, February 2023. [doi]

To transcode or not? A machine learning based edge video caching and transcoding strategySyed Muhammad Ammar Hassan Bukhari, Emna Baccour, Kashif Bilal, Junaid Shuja, Aiman Erbad, Muhammad Bilal. cee, 109(Part A):108741, July 2023. [doi]

D2DLive: Iterative live video streaming algorithm for D2D networksZina Chkirbene, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz, Nasser Al-Emadi. cn, 229:109734, June 2023. [doi]

Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game TheoryZina Chkirbene, Ridha Hamila, Aiman Erbad. iwcmc 2023: 1101-1106 [doi]

Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV SwarmsMarwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh Al-Obaidi, Mounir Hamdi. iotj, 10(9, May 1):8185-8201, 2023. [doi]

LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV SwarmsMarwan Dhuheir, Aiman Erbad, Sinan Sabeeh. wcnc 2023: 1-6 [doi]

Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV SwarmsMarwan Dhuheir, Aiman Erbad, Ala I. Al-Fuqaha. globecom 2023: 6159-6164 [doi]

Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image DatasetsKhalid Mahmoud Mohammad Dolaat, Aiman Erbad, Muhammad Ibrar. isncc 2023: 1-4 [doi]

Toward Delay-Conscious Federated Learning: A Systems PerspectiveHend Gedawy, Khaled A. Harras, Aiman Erbad. iotm, 6(4):82-87, December 2023. [doi]

A Hybrid Approach for Food Name Recognition in Restaurant ReviewsAli Haider, Sana Saeed, Kashif Bilal, Aiman Erbad. isncc 2023: 1-6 [doi]

Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy TransferRami Hamdi, Ahmed Ben Said, Emna Baccour, Aiman Erbad, Amr Mohamed 0001, Mounir Hamdi, Mohsen Guizani. iotj, 10(19):16945-16958, October 2023. [doi]

A Novel Optimal Wireless Thermal Sensor Placement Approach for Large Commercial BuildingsMahdi Houchati, A. Omri, H. Kanaan, Aiman Erbad, Muhammad Ibrar, Juan M. Corchado, Sergio Márquez Sánchez. isncc 2023: 1-7 [doi]

REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart BuildingsMuhammad Ibrar, Aiman Erbad, Mohammed Abegaz, Aamir Akbar, Mahdi Houchati, Juan M. Corchado. iwcmc 2023: 860-865 [doi]

Blockchain-Enabled land management systemsLaila Junaid, Kashif Bilal, Osman Khalid, Aiman Erbad. telsys, 84(3):421-442, November 2023. [doi]

Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT SystemsFazeela Mazhar Khan, Emna Baccour, Aiman Erbad, Mounir Hamdi. iwcmc 2023: 1543-1549 [doi]

Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive StudyHela Marouane, Abdulhalim Dandoush, Lamine Amour, Aiman Erbad. isncc 2023: 1-6 [doi]

Joint learning and optimization for Federated Learning in NOMA-based networksIlyes Mrad, Ridha Hamila, Aiman Erbad, Moncef Gabbouj. percom, 89:101739, February 2023. [doi]

RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live StreamingIlyes Mrad, Emna Baccour, Ridha Hamila, Muhammad Asif Khan 0001, Aiman Erbad, Mounir Hamdi. ISCC 2023: 193-199 [doi]

RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)Ali Riahi, Amr Mohamed 0001, Aiman Erbad. tnsm, 20(2):1587-1599, June 2023. [doi]

BC-FL Location-Based Disease Detection in Healthcare IoTAli Riahi, Amr Mohamed 0001, Aiman Erbad. iwcmc 2023: 1684-1689 [doi]

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning ApproachAbegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed M. Abdallah 0001, Mohsen Guizani. tccn, 9(4):991-1011, August 2023. [doi]

Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things NetworksAbegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, Abdullatif Albaseer, Mohamed Abdallah 0001, Mohsen Guizani. iotj, 10(22):19695-19711, nov15 2023. [doi]

Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV NetworksAbegaz Mohammed Seid, Aiman Erbad. icc 2023: 1664-1669 [doi]

Hierarchical DRL-empowered Network Slicing in Space-Air-Ground NetworksAbegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Carla-Fabiana Chiasserini. globecom 2023: 4680-4685 [doi]

HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6GAbegaz Mohammed Seid, Hayla Nahom Abishu, Aiman Erbad, Mohsen Guizani. iwcmc 2023: 836-841 [doi]

AI-based UAV navigation framework with digital twin technology for mobile target visitationAbdulrahman Soliman, Abdulla K. Al-Ali, Amr Mohamed 0001, Hend Gedawy, Daniel Izham, Mohamad Bahri, Aiman Erbad, Mohsen Guizani. eaai, 123(Part B):106318, 2023. [doi]

Intelligent DRL-Based Adaptive Region of Interest for Delay-Sensitive Telemedicine ApplicationsAbdulrahman Soliman, Amr Mohamed 0001, Elias Yaacoub, Nikhil V. Navkar, Aiman Erbad. icc 2023: 2419-2424 [doi]

PBCLR: Prediction-based control-plane load reduction in a software-defined IoT networkSamra Zafar, Bakhtawar Zafar, Xiaopeng Hu 0001, Nizam Hussain Zaydi, Muhammad Ibrar, Aiman Erbad. iot, 24:100934, December 2023. [doi]

Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT NetworksSamra Zafar, Muhammad Ibrar, Aiman Erbad, Bakhtawar Zafar, Nizam Hussain Zaydi, Xiaopeng Hu. isncc 2023: 1-6 [doi]

2022

Fuzzy Elliptic Curve Cryptography for Authentication in Internet of ThingsAbderrazak Abdaoui, Aiman Erbad, Abdulla Khalid Al-Ali, Amr Mohamed 0001, Mohsen Guizani. iotj, 9(12):9987-9998, 2022. [doi]

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced dataAlaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine. fgcs, 128:406-419, 2022. [doi]

Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond NetworksAlaa Awad Abdellatif, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. wcnc 2022: 262-267 [doi]

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMTAmr Abo-eleneen, Alaa Awad Abdellatif, Amr Mohamed 0001, Aiman Erbad. wts 2022: 1-6 [doi]

Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge LearningAbdullatif Albaseer, Mohamed M. Abdallah 0001, Ala I. Al-Fuqaha, Aiman Erbad. tnse, 9(5):3258-3271, 2022. [doi]

Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and AlgorithmsAbdullatif Albaseer, Mohamed Abdallah 0001, Ala I. Al-Fuqaha, Aiman Erbad, Octavia A. Dobre. iotj, 9(24):25626-25642, 2022. [doi]

Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge LearningAbdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad. iwcmc 2022: 300-305 [doi]

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT NetworksMhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. tccn, 8(2):1287-1300, 2022. [doi]

On the Modeling of Reliability in Extreme Edge Computing SystemsMhd Saria Allahham, Amr Mohamed 0001, Aiman Erbad, Hossam S. Hassanein. iccspa 2022: 1-6 [doi]

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial IntelligenceEmna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed 0001, Mounir Hamdi, Mohsen Guizani. comsur, 24(4):2366-2418, 2022. [doi]

RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT SystemsEmna Baccour, Aiman Erbad, Amr Mohamed 0001, Mounir Hamdi, Mohsen Guizani. tnse, 9(4):2066-2083, 2022. [doi]

An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud EnvironmentEmna Baccour, Fatima Haouari, Aiman Erbad, Amr Mohamed 0001, Kashif Bilal, Mohsen Guizani, Mounir Hamdi. sj, 16(1):240-251, 2022. [doi]

QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit SchedulingLamiaa Basyoni, Aiman Erbad, Amr Mohamed 0001, Mohsen Guizani. tnse, 9(5):3396-3410, 2022. [doi]

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching SolutionKashif Bilal, Junaid Shuja, Aiman Erbad, Waleed Alasmary, Eisa Alanazi, Abdullah Alourani. sensors, 22(3):1092, 2022. [doi]

3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT SystemsHela Chamkhia, Aiman Erbad, Abdulla Khalid Al-Ali, Amr Mohamed 0001, Ahmed Refaey, Mohsen Guizani. iotj, 9(9):6663-6677, 2022. [doi]

PLS Performance Analysis of a Hybrid NOMA-OMA based IoT System with Mobile SensorsHela Chamkhia, Aiman Erbad, Abdulla K. Al-Ali, Amr Mohamed 0001, Ahmed Refaey, Mohsen Guizani. wcnc 2022: 1419-1424 [doi]

Deep Reinforcement Learning for Network Selection Over Heterogeneous Health SystemsZina Chkirbene, Alaa Awad Abdellatif, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. tnse, 9(1):258-270, 2022. [doi]

Secure Medical Data Sharing For Healthcare SystemZina Chkirbene, Ridha Hamila, Aiman Erbad. pimrc 2022: 641-647 [doi]

Region of Interest Optimization for Delay-sensitive Telemedicine ApplicationsSomayya Elmoghazy, Elias Yaacoub, Nikhil V. Navkar, Amr Mohamed 0001, Aiman Erbad. iwcmc 2022: 259-264 [doi]

On Leveraging FemtoClouds for Federated LearningHend Gedawy, Khaled A. Harras, Aiman Erbad. iotm, 5(3):68-75, 2022. [doi]

Leveraging Semi-Connected Devices To Enhance Federated LearningHend Gedawy, Khaled A. Harras, Aiman Erbad. iccspa 2022: 1-6 [doi]

LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless NetworksRami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi. iotj, 9(9):6458-6476, 2022. [doi]

Dynamic LoRa Wireless Networks Powered by Hybrid EnergyRami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi. wcnc 2022: 830-835 [doi]

Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and OptimizationMohammed Jouhari, Abdulla Khalid Al-Ali, Emna Baccour, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani, Mounir Hamdi. iotj, 9(2):1227-1242, 2022. [doi]

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and ChallengesMuhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj. access, 10:120514-120550, 2022. [doi]

On Designing Smart Agents for Service Provisioning in Blockchain-Powered SystemsNaram Mhaisen, Mhd Saria Allahham, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. tnse, 9(2):401-415, 2022. [doi]

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology ConstraintsNaram Mhaisen, Alaa Awad Abdellatif, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. tnse, 9(1):55-66, 2022. [doi]

Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based DesignIlyes Mrad, Lutfi Samara, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz. pimrc 2022: 975-981 [doi]

RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated LearningHassan Saadat, Mhd Saria Allahham, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed 0001. iwcmc 2022: 548-553 [doi]

FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT NetworkAbegaz Mohammed Seid, Hayla Nahom Abishu, Abdullatif Albaseer, Aiman Erbad, Mohammed Abdallah, Mohsen Guizani. globecom 2022: 1417-1422 [doi]

FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated LearningAliya Tabassum, Aiman Erbad, Wadha Lebda, Amr Mohamed 0001, Mohsen Guizani. comcom, 192:299-310, 2022. [doi]

2021

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoTAbderrazak Abdaoui, Aiman Erbad, Abdulla K. Al-Ali, Amr Mohamed 0001, Mohsen Guizani. globecom 2021: 1-6 [doi]

Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected VehiclesAlaa Awad Abdellatif, Carla-Fabiana Chiasserini, Francesco Malandrino, Amr Mohamed, Aiman Erbad. tvt, 70(4):3059-3070, 2021. [doi]

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data ExchangeAlaa Awad Abdellatif, Lutfi Samara, Amr Mohamed 0001, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton. iotj, 8(21):15762-15775, 2021. [doi]

Reinforcement learning approaches for efficient and secure blockchain-powered smart health systemsAbeer Z. Al-Marridi, Amr Mohamed 0001, Aiman Erbad. cn, 197:108279, 2021. [doi]

CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health SystemsAbeer Z. Al-Marridi, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. hpsr 2021: 1-6 [doi]

Smart and Secure Blockchain-based Healthcare System Using Deep Q-LearningAbeer Z. Al-Marridi, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. wf-iot 2021: 464-469 [doi]

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge LearningAbdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad. icc 2021: 1-6 [doi]

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge NetworksAbdullatif Albaseer, Mohamed M. Abdallah 0001, Ala I. Al-Fuqaha, Aiman Erbad. globecom 2021: 1-6 [doi]

I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement LearningMhd Saria Allahham, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, Elias Yaacoub, Mohsen Guizani. iotj, 8(8):6454-6468, 2021. [doi]

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT SystemsEmna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani. access, 9:54872-54887, 2021. [doi]

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport ProtocolLamiaa Basyoni, Aiman Erbad, Mashael AlSabah, Noora Fetais, Amr Mohamed, Mohsen Guizani. access, 9:28769-28784, 2021. [doi]

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet CoreYahuza Bello, Alaa Awad Abdellatif, Mhd Saria Allahham, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed 0001, Mohsen Guizani. access, 9:158204-158214, 2021. [doi]

A Weighted Machine Learning-Based Attacks Classification to Alleviating Class ImbalanceZina Chkirbene, Aiman Erbad, Ridha Hamila, Ala Gouissem, Amr Mohamed 0001, Mohsen Guizani, Mounir Hamdi. sj, 15(4):4780-4791, 2021. [doi]

Cooperative Machine Learning Techniques for Cloud Intrusion DetectionZina Chkirbene, Ridha Hamila, Aiman Erbad, Serkan Kiranyaz, Nasser Al-Emadi, Mounir Hamdi. iwcmc 2021: 837-842 [doi]

Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A SurveyMarwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah 0001, Mounir Hamdi. iwcmc 2021: 681-687 [doi]

Reinforcement Learning for Hybrid Energy LoRa Wireless NetworksRami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi. globecom 2021: 1-7 [doi]

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered SystemsNaram Mhaisen, Amr Mohamed 0001, Aiman Erbad, Mohsen Guizani. icc 2021: 1-6 [doi]

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption ConstraintsIlyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr O. Al-Abbasi, Ridha Hamila, Aiman Erbad. globecom 2021: 1-6 [doi]

Hierarchical Security Paradigm for IoT Multiaccess Edge ComputingJaspreet Singh, Yahuza Bello, Ahmed Refaey Hussein, Aiman Erbad, Amr Mohamed. iotj, 8(7):5794-5805, 2021. [doi]

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health SystemsAliya Tabassum, Aiman Erbad, Amr Mohamed, Mohsen Guizani. access, 9:14271-14283, 2021. [doi]

Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video MulticastKamran Zahoor, Kashif Bilal, Aiman Erbad, Amr Mohamed, Mohsen Guizani. access, 9:59508-59526, 2021. [doi]

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