About Journal
Applied Data Science and Machine Intelligence (ADSMI) is an international, peer-reviewed, open-access journal dedicated to the dissemination of cutting-edge research, methodologies, and practical applications in the fields of data science, machine learning, and artificial intelligence. The journal provides a platform for researchers, practitioners, and industry professionals to share innovative solutions and empirical findings that address real-world challenges across domains.
The journal welcomes original research articles, review papers, case studies, technical notes, and short communications that explore the design, development, deployment, and evaluation of data-driven systems and intelligent algorithms.
The journal targets academic researchers, data scientists, AI engineers, system developers, domain specialists, and decision-makers interested in the tangible and impactful application of data science and machine intelligence.
ISBN: 7386-383X | Publication Frequency : Bi-Monthly
Potential Social Impact
The Applied Data Science and Machine Intelligence (ADSMI) journal has the potential to create significant social impact by advancing the responsible use of data-driven technologies across critical sectors. By promoting open-access research on applied machine learning and intelligent systems, the journal enables widespread dissemination of innovative solutions for healthcare, education, sustainability, agriculture, and public safety. This facilitates equitable access to cutting-edge knowledge, especially in underrepresented regions and communities. Through its focus on real-world applications, ADSMI supports the development of intelligent tools that can improve quality of life, enhance decision-making, and foster data-informed policy across diverse domains. The journal also encourages interdisciplinary collaboration, helping bridge the gap between academic research and practical implementation.
As a platform for thought leadership, ADSMI nurtures ethical considerations, transparency, and inclusivity in the deployment of AI and data science, ensuring that technological advancements serve the greater public good and contribute to a more resilient and informed global society.View Articles