Journal of Computing and Data Analytics (JCDA) is a leading international, peer-reviewed, open-access journal dedicated to advancing research in computing, data science, artificial intelligence, and data analytics. Published in one volume per year comprising three issues by Vertex Academic Publishing, JCDA employs a rigorous double-blind peer-review process to ensure the highest standards of scholarly excellence, originality, and scientific integrity. The journal publishes cutting-edge methodological, theoretical, and application-oriented research in computing and data-driven technologies, covering a broad range of topics including artificial intelligence, machine learning, deep learning, big data analytics, statistical computing, computational intelligence, cloud and edge computing, computer vision, optimization, cybersecurity, the Internet of Things, software engineering, and intelligent systems. By fostering the dissemination of high-quality interdisciplinary research, JCDA serves as a global platform for researchers, academics, engineers, and practitioners, promoting innovation, collaboration, and the development of next-generation computing and data analytics technologies.