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- research-articleNovember 2024
Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review
AbstractThis review comprehensively investigates the current state and emerging trends of autonomous vehicle terrain detection and segmentation. By systematically reviewing literature from various databases, this study outlines the evolution of detection ...
Highlights- Explores terrain detection and segmentation technologies in autonomous vehicles.
- Evaluates current methods’ effectiveness and limitations across environments.
- Identifies challenges in advancing terrain detection and segmentation ...
- research-articleSeptember 2024
Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation
Cognitive Computation and Systems (CCS2), Volume 6, Issue 4Pages 119–134https://doi.org/10.1049/ccs2.12114AbstractLow‐light object detection is needed for ensuring security, enabling surveillance, and enhancing safety in diverse applications, including autonomous vehicles, surveillance systems, and search and rescue operations. A comprehensive study on low‐...
- research-articleJuly 2024
Explainable AI approaches in deep learning: Advancements, applications and challenges
Computers and Electrical Engineering (CENG), Volume 117, Issue Chttps://doi.org/10.1016/j.compeleceng.2024.109246AbstractExplainable Artificial Intelligence refers to developing artificial intelligence models and systems that can provide clear, understandable, and transparent explanations for their decisions and predictions. In deep learning, where complex neural ...
- review-articleJuly 2024
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
- Zinniya Taffannum Pritee,
- Mehedi Hasan Anik,
- Saida Binta Alam,
- Jamin Rahman Jim,
- Md Mohsin Kabir,
- M.F. Mridha
AbstractIn the continuously developing field of cyber security, user authentication and authorization play a vital role in protecting personal information and digital assets from unauthorized use. As the field of cyber security expands, traditional user ...
- research-articleNovember 2023
Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations
Cognitive Computation and Systems (CCS2), Volume 5, Issue 4Pages 265–279https://doi.org/10.1049/ccs2.12090AbstractThe online recommendation system has benefited the traditional restaurant business economically. However, finding the best restaurant during rush time and visiting new places is tough. This objective is addressed through a restaurant ...