20 citations · 29 across the 15 of their papers we have counts for
15 papers
Sim2Win: A Team-Agnostic, Event-Based Pre-Match Outcome Prediction and Tactical Profiling System for Football
Mouad Zemzoumi, Amine Abouaomar
Pre-match tactical decision-making in professional football relies heavily on subjective expert analysis and identity-based scouting systems that cannot generalize to unseen teams.…
AttriGen: Automated Multi-Attribute Annotation for Blood Cell Datasets
Walid Houmaidi, Youssef Sabiri, Fatima Zahra Iguenfer +1
We introduce AttriGen, a novel framework for automated, fine-grained multi-attribute annotation in computer vision, with a particular focus on cell microscopy where multi-attribute…
Accelerating Cerebral Diagnostics with BrainFusion: A Comprehensive MRI Tumor Framework
Walid Houmaidi, Youssef Sabiri, Salmane El Mansour Billah +1
The early and accurate classification of brain tumors is crucial for guiding effective treatment strategies and improving patient outcomes. This study presents BrainFusion, a signi…
EYE-DEX: Eye Disease Detection and EXplanation System
Youssef Sabiri, Walid Houmaidi, Amine Abouaomar
Retinal disease diagnosis is critical in preventing vision loss and reducing socioeconomic burdens. Globally, over 2.2 billion people are affected by some form of vision impairment…
Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time Applications
Manal Mehdaoui, Amine Abouaomar
Deep Reinforcement Learning (DRL) is a powerful tool used for addressing complex challenges in mobile networks. This paper investigates the application of two DRL models, on-policy…
Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
Mohammed El Hanjri, Hamza Reguieg, Adil Attiaoui +3
In the era of the Internet of Things (IoT), decentralized paradigms for machine learning are gaining prominence. In this paper, we introduce a federated learning model that capital…
Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning
Badr Ben Elallid, Amine Abouaomar, Nabil Benamar +1
In the face of growing urban populations and the escalating number of vehicles on the roads, managing transportation efficiently and ensuring safety have become critical challenges…
Federated Learning for Water Consumption Forecasting in Smart Cities
Mohammed El Hanjri, Hibatallah Kabbaj, Abdellatif Kobbane +1
Water consumption remains a major concern among the world's future challenges. For applications like load monitoring and demand response, deep learning models are trained using eno…
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
Amine Abouaomar, Afaf Taik, Abderrahime Filali +1
Radio access network (RAN) slicing is a key element in enabling current 5G networks and next-generation networks to meet the requirements of different services in various verticals…
Resource Provisioning in Edge Computing for Latency Sensitive Applications
Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1
Low-Latency IoT applications such as autonomous vehicles, augmented/virtual reality devices and security applications require high computation resources to make decisions on the fl…
A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks
Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali +2
Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular network. Due to the vehicles mobility, their requested services (e.g., infotainment services)…
Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC
Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1
In this paper, we address the resource provisioning problem for service function chaining (SFC) in terms of the placement and chaining of virtual network functions (VNFs) within a…
A Resources Representation For Resource Allocation In Fog Computing Networks
Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane +1
Fog computing is emerging as a new paradigm to deal with latency-sensitive applications, by making data processing and analysis close to their source. Due to the heterogeneity of d…
Matching-Game for User-Fog Assignment
Amine Abouaomar, Abdellatif Kobbane, Soumaya Cherkaoui
Fog computing has emerged as a new paradigm in mobile network communications, aiming to equip the edge of the network with the computing and storing capabilities to deal with the h…
Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach
Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1
Multi-access edge computing (MEC) and network virtualization technologies are important enablers for fifth-generation (5G) networks to deliver diverse applications and services. Se…