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Slimane Arbaoui

Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries
2024 · Slimane Arbaoui, Ahmed Samet, et al. · Energy and AI · 52
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SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
2024 · Amel Hidouri, Slimane Arbaoui, et al. · Lecture notes in computer science · 8
Dual-model approach for one-shot lithium-ion battery state of health sequence prediction
2024 · Slimane Arbaoui, Ahmed Samet, et al. · Array · 6
OntoSoC: An ontology-based approach to battery pack SoC estimation
2023 · Ala Eddine Hamouni, Franco Giustozzi, et al. · Procedia Computer Science · 5
Spiking Neural Networks for Accurate and Efficient State of Health Estimation of Lithium-Ion Batteries Across Varying Temperatures
2026 · Slimane Arbaoui, Tedjani Mesbahi, et al. · IEEE Open Journal of Vehicular Technology · 3
Toward early battery anomaly detection: A multimodal dataset and deep learning framework for lithium-ion batteries
2026 · Marwa Zitouni, Slimane Arbaoui, et al. · Energy and AI · 1
A Unified Multi-branch Framework for Real-Time Multi-rate CNC Anomaly Detection: Classical vs Deep Learning Models
2026 · Slimane Arbaoui, Ali Ayadi, et al. · Lecture notes in computer science
Sensitivity and Ontology-Guided Counterfactual Explanation Generation for Battery State of Charge Estimation
2026 · Slimane Arbaoui, Ali Ayadi, et al. · International Conference on Agents and Artificial Intelligence (ICAART)
BATT2GRAPH: A Hybrid CNN-LSTM and Temporal Graph-Based Approach for Lithium-Ion Battery SOH Prediction and Anomaly Detection
2025 · Hajer Akid, Mohamed Wadhah Mabrouk, et al. · Lecture notes in computer science
Works count: 12
Citation count: 76
H-index: 4
I10-index: 1
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