Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. - Mohamed Abuella; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (ECML/PKDD (7), 2023)

Spatial Clustering Approach for Vessel Path Identification. - Mohamed Abuella; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (IEEE Access, 2024)

Data Analytics for Improving Energy Efficiency in Short Sea Shipping. - Mohamed Abuella; Hadi Fanaee Tork; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (CoRR, 2024)

Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis. - Guangqiang Li; M. Amine Atoui; Xiangshun Li (CoRR, 2024)

Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis. - Guangqiang Li; M. Amine Atoui; Xiangshun Li (Adv. Eng. Informatics, 2025)

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes. - Guangqiang Li; M. Amine Atoui; Xiangshun Li (CoRR, 2025)

Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation. - Guangqiang Li; M. Amine Atoui; Xiangshun Li (CoRR, 2025)

Open-Set Fault Diagnosis in Multimode Processes via Fine-Grained Deep Feature Representation. - Guangqiang Li; M. Amine Atoui; Xiangshun Li (CoRR, 2025)