Querying Data Services in an Uncertain Environment: A Possibilistic-Based Approach. - Asma Omri; Karim Benouaret; Mohamed Nazih Omri; Djamal Benslimane (SITIS, 2016)

Toward a New Model of Indexing Big Uncertain Data. - Asma Omri; Karim Benouaret; Mohamed Nazih Omri; Djamal Benslimane (MEDES, 2017)

A Probabilistic Approach: A Model for the Uncertain Representation and Navigation of Uncertain Web Resources. - Soura Boulaares; Asma Omri; Salma Sassi; Djamal Benslimane (SITIS, 2018)

Towards an understanding of cloud services under uncertainty: A possibilistic approach. - Asma Omri; Karim Benouaret; Djamal Benslimane; Mohamed Nazih Omri (Int. J. Approx. Reason., 2018)

Modélisation et utilisation de ressources et services Web et indexation de données dans un contexte d'incertitude. (Modeling and use of Web resources and services and data indexing in a context of uncertainty). - Asma Omri (2018)

A Probabilistic Approach: Querying Web Resources in the Presence of Uncertainty. - Asma Omri; Djamal Bensliamne; Mohamed Nazih Omri (IDEAL, 2023)

Efficient Model for Probabilistic Web Resources Under Uncertainty. - Asma Omri; Djamal Benslimane; Mohamed Nazih Omri (IDEAL, 2023)

Approach For Probabilistic Semantic Big Data Indexing under an Uncertain Environment. - Asma Omri; Malika Jallouli; Djamal Benslimane; Mohamed Nazih Omri (INISTA, 2023)

Managing Web-based Information Resources Under Uncertainty: A Probabilistic Approach. - Asma Omri; Mohamed Nazih Omri (J. Web Eng., 2023)

2D Spatial CFAR for LiDAR Point Cloud Ground Removal and Object Classification. - Asma Omri; Mariem Mezghani; Jasser Rayeh; Sofiane Sayahi; Hichem Besbes (VTC Fall, 2024)

Advancing Cycling Safety: On-Bike Alert System Utilizing Multi-Layer Radar Point Cloud Clustering for Coarse Object Classification. - Asma Omri; Noureddine Benothman; Sofiane Sayahi; Fethi Tlili; Ferdaous Chaabane; Hichem Besbes (Sensors, 2024)