Aims and Scope

The Journal of Artificial Intelligence, Data Science, and Smart Technologies aims to advance research and innovation in AI, data science, machine learning, and smart technologies. It provides a platform for researchers, academicians, and industry professionals to share novel insights, methodologies, and applications. The journal fosters interdisciplinary collaboration and knowledge exchange while bridging the gap between theoretical advancements and real-world implementations. By promoting ethical AI development and responsible data-driven decision-making, it strives to contribute to the evolution of intelligent systems for societal and industrial benefits.

The journal covers a wide range of topics, including machine learning, deep learning, neural networks, big data analytics, and predictive modeling. It explores advancements in the Internet of Things (IoT), edge computing, AI-driven automation, and decision support systems. Research on natural language processing, computer vision, and applications in smart healthcare, smart cities, and intelligent transportation is also featured. The journal addresses cybersecurity, privacy, and ethical AI considerations while examining AI applications in finance, business, and education. Additionally, it includes studies on quantum computing, reinforcement learning, robotics, and cloud computing, including AI as a service (AIaaS). Other key areas of interest include human-computer interaction, explainable AI, and AI’s role in scientific computing and engineering applications. The journal also highlights emerging trends and future directions in AI and data science, fostering interdisciplinary research and innovation.