10 papers
Environmental Impact of Generative and Agentic AI: An in-Depth Analysis and Green Solutions
Abderaouf Bahi, Amel Ourici, Ibtissem Gasmi
The proliferation of generative and agentic artificial intelligence (AI) systems has introduced computational demands whose environmental consequences are substantial yet underexam…
When does distribution shift break graph neural networks calibration?
Abderaouf Bahi
Graph neural networks (GNNs) are increasingly deployed in real-world applications where distribution shift is un-avoidable. However, how such shifts affect model calibration, defin…
Graph Neural Networks Applications Across Domains: All Insights You Need
Abderaouf Bahi
Graph neural networks have moved from a niche representation-learning technique to the default model class wherever data carry relational structure. The interesting question is no…
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
Abderaouf Bahi, Mourad Boughaba, Ibtissem Gasmi +2
Capturing user intent across heterogeneous behavioral domains stands as a fundamental challenge in session-based recommender systems. Yet, existing multi-domain approaches frequent…
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
Abderaouf Bahi, Amel Ourici, Ibtissem Gasmi +3
Accurate forecasting of renewable energy generation is essential for efficient grid management and sustainable power planning. However, traditional supervised models often require…
Benchmarking Deep Neural Networks for Modern Recommendation Systems
Abderaouf Bahi, Inoussa Mouiche, Ibtissem Gasmi
This paper presents a requirement-oriented benchmark of seven deep neural architectures, CNN, RNN, GNN, Autoencoder, Transformer, Neural Collaborative Filtering, and Siamese Networ…
From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey
Abderaouf Bahi, Amel Ourici, Chaima Lagraa +6
This study provides a comprehensive overview of recent advances in electrochemical energy storage, including Na+ -ion, metal-ion, and metal-air batteries, alongside innovations in…
GNN-ASE: Graph-Based Anomaly Detection and Severity Estimation in Three-Phase Induction Machines
Moutaz Bellah Bentrad, Adel Ghoggal, Tahar Bahi +1
The diagnosis of induction machines has traditionally relied on model-based methods that require the development of complex dynamic models, making them difficult to implement and c…
Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
Abderaouf Bahi, Amel Ourici, Hasan Dincer +2
The exponential growth of digital services has positioned data centers among the most energy-intensive infrastructures in the modern economy, raising critical concerns regarding op…
NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities
Abderaouf Bahi, Amel Ourici
This paper investigates the feasibility of human mobility in extreme urban morphologies characterized by high-density vertical structures and linear city layouts. To assess whether…