About the Journal

American Data Science Journal for Advanced Computations (ADSJAC) is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research in the fields of data science, artificial intelligence, machine learning, and advanced computational technologies. The journal provides a global platform for researchers, academicians, industry professionals, and scholars to share innovative ideas, research findings, and practical implementations that contribute to the advancement of modern computing and analytics.

ADSJAC aims to promote interdisciplinary research that bridges theoretical foundations and real-world applications in data-driven technologies. The journal welcomes original research articles, review papers, case studies, and technical notes that demonstrate innovation, methodological rigor, and relevance to contemporary scientific and technological challenges.

The journal follows a double-blind peer review process to ensure the quality, originality, and academic integrity of all published manuscripts. Each submission undergoes an initial editorial screening followed by review by subject experts. Only manuscripts that meet the journal’s standards of quality and ethical publishing are accepted for publication.

ADSJAC is committed to open access publishing, ensuring that all published articles are freely accessible to readers worldwide without subscription barriers. The journal supports the global dissemination of knowledge and encourages collaboration among researchers across disciplines and geographic regions.

Scope of the Journal

The journal publishes research in, but not limited to:

• Data Science and Data Analytics

• Artificial Intelligence

• Machine Learning and Deep Learning

• Big Data Technologies

• Cloud and Distributed Computing

• Internet of Things (IoT)

• Natural Language Processing

• Computer Vision

• Predictive Analytics

• Statistical Modeling

• Advanced Computational Methods