Aim and Scope
Journal of Data Analytics and Artificial Intelligence Applications (D3AI) is a premier scholarly publication dedicated to the latest advancements in data analytics and artificial intelligence (AI). The journal serves as a platform for disseminating innovative research and insights in these rapidly evolving fields. The scope of D3AI includes, but is not limited to, the following areas:

- Data Analytics Techniques and Applications: The journal seeks original research on new data analytics methodologies, tools, and their applications in various domains such as business, healthcare, environment, and social sciences. This includes predictive analytics, descriptive analytics, prescriptive analytics, big data technologies, and real-time data processing.
- Machine Learning and Deep Learning: Papers exploring novel machine learning and deep learning models, algorithms, and their applications. This encompasses supervised, unsupervised, and reinforcement learning techniques, neural networks, natural language processing, and computer vision.
- AI-driven Solutions and Challenges: Articles that discuss the development and deployment of AI solutions, addressing ethical, social, and technical challenges associated with AI. This includes AI in robotics, autonomous systems, decision support systems, and ethical considerations in AI.
- Emerging Technologies in AI and Data Analytics: Research on cutting-edge technologies like quantum computing in AI, edge computing in data analytics, AI in blockchain, and IoT data analytics.
- Case Studies and Industry Applications: Case studies demonstrating the application of data analytics and AI in various industries, highlighting practical challenges, solutions, and outcomes.
- Review and Survey Papers: Comprehensive review and survey papers that provide insights into current research trends, future directions, and critical analysis of existing work in data analytics and AI. D3AI encourages submissions from researchers, practitioners, and academicians, fostering a multidisciplinary dialogue and advancing the knowledge frontiers in data analytics and artificial intelligence.

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