Information For Readers

ADSJAC publishes peer-reviewed original research, review articles, and case studies in data science, artificial intelligence, machine learning, and advanced computing, free for any reader to access immediately upon publication — no subscription, login, or paywall required.

How to access articles: Browse the Current Issue or Archives; every article is available as full-text HTML and downloadable PDF.

Notifications: Register as a Reader to receive a Table of Contents email whenever a new issue publishes.

How to cite articles: Each article page provides ready-made citations in APA, MLA, IEEE, Chicago, Vancouver, and other formats, plus downloadable BibTeX/RIS files for reference managers.

RSS/Atom feeds: ADSJAC offers RSS2, RSS1, and Atom feeds (linked on every page) so readers can follow new publications in their feed reader.

Your rights as a reader: All ADSJAC content is published under CC BY 4.0 — you may read, download, copy, distribute, and reuse any article (including for commercial purposes) provided you give appropriate credit to the original authors.