Metaheuristic RSSI based for node localization in distributed wireless sensor network. - Miloud Mihoubi 001; Abdellatif Rahmoun; Pascal Lorenz (GIIS, 2017)

An effective Bat algorithm for node localization in distributed wireless sensor network. - Miloud Mihoubi 001; Abdellatif Rahmoun; Pascal Lorenz; Noureddine Lasla (Secur. Priv., 2018)

Whale Optimization Approach for Optimization Problem In Distributed Wireless Sensor Network. - Lotfi Baidar; Abdellatif Rahmoun; Pascal Lorenz; Miloud Mihoubi 001 (ICIST, 2019)

Moth Flame Optimization Algorithm Range-Based for Node Localization Challenge in Decentralized Wireless Sensor Network. - Miloud Mihoubi 001; Abdellatif Rahmoun; Pascal Lorenz (Int. J. Distributed Syst. Technol., 2019)

Iterative Localization in Decentralized Environment of WSN and IoT. - Miloud Mihoubi 001; Abdellatif Rahmoun; Pascal Lorenz (ICC, 2020)

Intelligent Technique Based on Enhanced Metaheuristic for Optimization Problem in Internet of Things and Wireless Sensor Network. - Miloud Mihoubi 001; Abdellatif Rahmoun; Meriem Zerkouk; Pascal Lorenz; Lotfi Baidar (Int. J. Grid High Perform. Comput., 2020)

Node Localization in WSN and IoT Using Harris Hawks Optimization Algorithm. - Miloud Mihoubi 001; Abdellatif Rahmoun; Pascal Lorenz (GLOBECOM, 2021)

A hybrid Harrison Hawk optimization based on differential evolution for the node localization problem in IoT networks. - Lotfi Baidar; Abdellatif Rahmoun; Miloud Mihoubi 001; Pascal Lorenz; Serdar Birogul (Int. J. Commun. Syst., 2022)

Deep Generative Model with Isolation Forest (DGM-IF) for Unsupervised Anomaly Detection in Wireless Sensor Network and Internet of Things. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoDIT, 2023)

Efficient Dispatcher Mechanism for SIP Cluster Based on Memory Utilization. - Ali Al-Allawee; Miloud Mihoubi 001; Pascal Lorenz; Kerima Saleh Abakar (ICC, 2023)

Discovering Causal Relationships in Noisy Web Data for Sentiment Classification Using Attention Mechanisms. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (WISE (PhD Symposium, Demos and Workshops), 2024)

A machine learning based model for student's dropout prediction in online training. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui; Shengrui Wang (Educ. Inf. Technol., 2024)

Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (Canadian AI, 2025)

Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (Canadian AI, 2025)

Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion. - Miloud Mihoubi 001; Meriem Zerkouk; Belkacem Chikhaoui (CoRR, 2025)

SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoRR, 2025)

A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui (CoRR, 2025)