Aim&Scope

AI and Data Science Journal (ADSJ)(Online ISSN: 3078-7394) is a peer-reviewed interdisciplinary journal focused on the rapidly evolving fields of artificial intelligence (AI) and data science. The journal aims to publish high-quality research that addresses both theoretical and applied aspects of AI, machine learning, big data analytics, and data-driven decision-making. By bridging cutting-edge developments in AI with advancements in data science, the journal seeks to advance the understanding, implementation, and ethical use of AI technologies across diverse domains.

We welcome original research, reviews, case studies, and short communications that explore the following areas:

Machine learning algorithms, deep learning, and neural networks

Natural language processing (NLP), computer vision, and speech recognition

Data mining and knowledge discovery

Predictive modeling and statistical analysis

AI in big data analytics, including data visualization techniques

Data-driven decision-making and intelligent systems

Reinforcement learning and autonomous systems

Ethics, fairness, transparency, and accountability in AI

AI applications in healthcare, finance, manufacturing, and other industries

Data privacy, security, and governance in AI systems

Explainable AI (XAI) and interpretability of machine learning models

Integration of AI and data science with IoT (Internet of Things), robotics, and cloud computing

AI-driven innovations in business intelligence and smart technologies

Advancements in data preprocessing, data augmentation, and feature engineering

AI and Data Science Journal(ADSJ) is committed to publishing work that demonstrates the transformative potential of AI and data science in addressing real-world challenges. We aim to foster collaboration and knowledge exchange among researchers, data scientists, engineers, practitioners, and policymakers who are shaping the future of AI and its applications across industries.