HTECH Journal of Computing & Data Science

HTECH-JCDS is a peer-reviewed, open-access journal published quarterly by HTECH University Press. The journal serves a global community of researchers, practitioners and students, and is committed to rapid, constructive and transparent peer review. Every accepted article is assigned a permanent identifier and is freely available to read and cite. The journal operates a double-blind review process to ensure that manuscripts are judged solely on their scholarly merit.

The journal focuses on — but is not limited to — the following areas: - Machine learning, deep learning and responsible AI - Data engineering, databases and large-scale systems - Natural language processing and information retrieval - Human-computer interaction and educational technology - Security, privacy and trustworthy computing - Applied analytics in health, finance and public policy

Before submitting, please ensure your manuscript meets the following requirements: - Original, unpublished work not under consideration elsewhere - Between 4,000 and 8,000 words, excluding references - Prepared for double-blind review: remove author names, affiliations and identifying acknowledgements from the manuscript file - A structured abstract of no more than 250 words and 3–6 keywords - References formatted in APA (7th edition) or IEEE style, applied consistently - Figures and tables numbered and captioned; source data available on request Submissions are made through the HTECH author portal. On submission the manuscript is automatically checked for spelling, grammar, citation formatting and similarity before it reaches the editors.

HTECH-JCDS is committed to the highest standards of publication ethics. - Plagiarism: all submissions are screened for similarity; manuscripts with substantial overlap are returned or rejected. - Authorship: all listed authors must have contributed materially and approved the final manuscript. Ghost and gift authorship are not permitted. - Conflicts of interest: authors, reviewers and editors must declare any competing interests. - Data & integrity: fabrication, falsification and image manipulation are grounds for rejection and retraction. - Corrections & retractions: the journal issues corrections and, where necessary, retractions in line with recognised publication-ethics guidance.