Editorial integrity
Confidentiality, impartiality, originality, responsible authorship, and ethical research practices in every editorial decision.
3069-5511The journal provides a professional platform for academicians, researchers, data scientists, engineers, industry practitioners, and institutional leaders to communicate original research findings, algorithmic innovations, applied case studies, and interdisciplinary developments in artificial intelligence and emerging technology.
Manuscripts may be empirical, analytical, conceptual, quantitative, qualitative, or mixed-method, provided they make a meaningful contribution to knowledge in machine learning, computing systems, automation, or the responsible deployment of AI technologies.
All manuscripts submitted to AJOMAIT are initially screened by the editorial office for relevance, originality, formatting, plagiarism, language quality, ethical compliance, and adherence to journal guidelines. Manuscripts found suitable are evaluated through an external double-blind peer-review process.
Confidentiality, impartiality, originality, responsible authorship, and ethical research practices in every editorial decision.
Every submission is evaluated through external double-blind peer review by subject-matter reviewers.
A platform for academicians, researchers, practitioners, and policy makers across regions and disciplines.
Freely accessible published content to promote wider dissemination and exchange of academic knowledge.
| Full Title | American Journal of Multidisciplinary AI and Technology |
| Abbreviation | AJOMAIT |
| Online ISSN | 3069-5511 |
| Country of Publication | United States |
| Language | English |
| Publication Frequency | Monthly |
| Peer-Review Model | External Double-Blind Peer Review |
| Access Model | Open Access |
| Website | ajomait.com |
| Editorial Email | editor@ajomait.com |
Manuscripts are evaluated through external double-blind peer review. Track your submission from your author dashboard.