Technical Session 9


AI/ML and Big Data Analytics for Disaster Management



21st November 2024, Thursday (11:00-12:40), Room 3

Session Chair : Houssem Mansouri, Setif 1 University, Algeria



  1. SECA-Net: A Lightweight Spatial and Efficient Channel Attention for Enhanced Natural Disaster Recognition
    2.
    • Skander Hamdi, Setif 1 University, Algeria
    • Abdelouahab Moussaoui, Setif 1 University, Algeria
    • Mafaza Chabane, Setif 1 University, Algeria
    • Ayoub Laouarem, Setif 1 University, Algeria
    • Mohamed Berrimi, Setif 1 University, Algeria
    • Mourad Oussalah, University of Oulu, Finland

  2. Deep Learning in Managing SARS-CoV-2 Pandemic, Variant Prediction and Driver Mutation Identification: Case Study in Setif, Algeria
    3.
    • Madjda Akacha, Setif 1 University, Algeria
    • Abdelhalim Khenchouche, Setif 1 University, Algeria
    • Imene Zenbout, Constantine 2 university, Algeria
    • Mounira Amrane, Setif 1 University, Algeria

  3. Beyond Deep Learning: A Two-Stage Approach to Classifying Disaster Events and Needs
    4.
    • Mafaza Chabane, Setif 1 University, Algeria
    • Fouzi Harrag, Setif 1 University, Algeria
    • Khaled Shaalan, The British University in Dubai, UAE

  4. Multitask Fake News Detection in Arabic Language using AraELECTRA Model: COVID-19 Case Study
    5.
    • Meriem Sellami, Setif 1 University, Algeria
    • Ramzi Hadrouk, Setif 1 University, Algeria
    • Sofiane Chelghoum, Setif 1 University, Algeria
    • Ramzi Badache, Setif 1 University, Algeria
    • Nadjet Kamel, Setif 1 University, Algeria
    • Abdelazziz Lakhfif, Setif 1 University, Algeria