Browsing Electrical Engineering by Author "Erbad, Aiman"
Now showing items 1-15 of 15
-
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
Khan, Muhammad Asif; Baccour, Emna; Chkirbene, Zina; Erbad, Aiman; Hamila, Ridha; Hamdi, Mounir; Gabbouj, Moncef... more authors ... less authors ( IEEE , 2022 , Article)5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ... -
CODE: Computation Offloading in D2D-Edge System for Video Streaming
Khan, Muhammad Asif; Baccour, Emna; Erbad, Aiman; Hamila, Ridha; Hamdi, Mounir ( IEEE , 2022 , Article)Video traffic over the Internet is increasing rapidly, reaching up to 82% of the total Internet traffic by 2022. This enormous growth of video traffic which also include immersive video content (augmented reality ... -
Compress or Interfere?
Abdellatif, Alaa Awad; Samara, Lutfi; Mohamed, Amr; Al-Ali, Abdulla; Erbad, Aiman; Guizani, Mohsen... more authors ... less authors ( IEEE Computer Society , 2019 , Conference Paper)Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without ... -
Cooperative Machine Learning Techniques for Cloud Intrusion Detection
Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan; Al-Emadi, Nasser; Hamdi, Mounir... more authors ... less authors ( IEEE , 2021 , Conference Paper)Cloud computing is attracting a lot of attention in the past few years. Although, even with its wide acceptance, cloud security is still one of the most essential concerns of cloud computing. Many systems have been proposed ... -
D2DLive: Iterative live video streaming algorithm for D2D networks
Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan; Al-Emadi, Nasser ( Elsevier , 2023 , Article)Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
Chkirbene, Zina; Abdallah, Habib Ben; Hassine, Kawther; Hamila, Ridha; Erbad, Aiman ( IEEE , 2021 , Conference Paper)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance
Khan, Muhammad Asif; Hamila, Ridha; Erbad, Aiman; Gabbouj, Moncef ( IEEE , 2023 , Article)Advances in communication technologies and computational capabilities of Internet of Things (IoT) devices enable a range of complex applications that require ever increasing processing of sensors' data. An illustrative ... -
Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints
Mrad, Ilyes; Samara, Lutfi; Abdellatif, Alaa Awad; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman... more authors ... less authors ( IEEE , 2021 , Conference Paper)The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
Mrad, Ilyes; Samara, Lutfi; Al-Abbasi, Abubakr; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan... more authors ... less authors ( IEEE , 2022 , Conference Paper)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
Green data center networks: A holistic survey and design guidelines
Baccour, Emna; Foufou, Sebti; Hamila, Ridha; Erbad, Aiman ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Data Center Networks (DCNs) are attracting immense interest from the industry, research and academia to keep pace with the increase of Internet services demands. One of the major concerns that draws the attention of ... -
Important complexity reduction of random forest in multi-classification problem
Hassine, Kawther; Erbad, Aiman; Hamila, Ridha ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Algorithm complexity in machine learning problems has been a real concern especially with large-scaled systems. By increasing data dimensionality, a particular emphasis is placed on designing computationally efficient ... -
Joint learning and optimization for Federated Learning in NOMA-based networks
Mrad, Ilyes; Hamila, Ridha; Erbad, Aiman; Gabbouj, Moncef ( Elsevier , 2023 , Article)Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
Mrad, Ilyes; Hamila, Ridha; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid; Al-Emadi, Nasser... more authors ... less authors ( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
Mrad, Ilyes; Hamila, Ridha; Al-Emadi, Nasser; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ... -
Secure Medical Data Sharing for Healthcare System
Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman ( IEEE , 2022 , Conference Paper)A new generation of advanced information technologies are used nowadays by healthcare systems to provide access to affordable and high-quality healthcare services. However, such services, generally require a large amount ...