Number of Volumes 3
Number of Issues 11
Number of Articles 58
Number of Contributors 161
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Number of Submissions 105
Time to Accept (Days) 72
Number of Indexing Databases 1
Number of Reviewers 175

Journal of Trends and Challenges in Artificial Intelligence (Abbreviation: J. Tr., Chal. Art. Intell.) is a quarterly, academic publication by the Association for Scientific Publishing and Research – ASPUR. Journal of Trends and Challenges in Artificial Intelligence is a medium for global academics to exchange and disseminate their knowledge as well as the latest discoveries and advances in the filed of artificial intelligence.  Journal of Trends and Challenges in Artificial Intelligence follows a open access policy under the Creative Commons Attribution 4.0 International public license (Open Access Statement). We do not charge authors for any submission or processing fees. Submitted manuscripts are peer-reviewed by the Editorial Board and 2 "blind peer" reviewers of Journal of Trends and Challenges in Artificial Intelligence before acceptance for publication.

To submit a new manuscript, please start by reading the journal’s instructions for authors.

*Publication process of manuscripts submitted to Journal of Trends and Challenges in Artificial Intelligence is free of charge.


 

 

Please quote this journal as: J. Tr., Chal. Art. Intell.

 


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Current Issue: Volume 3, Issue 3, September 2026 


THE COLLABORATION BETWEEN ARMENIA AND MISTRAL AI: NEW OPPORTUNITIES FOR THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

Pages 115-120

DOI 10.61552/JAI.2026.03.001

ORCID Mikayel Rafayel Gyulasaryan, ORCID Ashot Varazdat Matevosyan, ORCID Mane Henrikh Matevosyan, ORCID Ani Zohrabt Grigoryan


TRANSFORMATIONS DRIVEN BY ARTIFICIAL INTELLIGENCE IN EDUCATION, LABOR PRODUCTIVITY, AND NEUROCOGNITIVE PROCESSES

Pages 121-134

DOI 10.61552/JAI.2026.03.002

ORCID Ana-Gabriela Banquez-Maturana


A SYSTEMATIC LITERATURE REVIEW OF FACE RECOGNITION BASED ATTENDANCE SYSTEM: METHODS, TRENDS, AND RESEARCH GAPS

Pages 135-154

DOI 10.61552/JAI.2026.03.003

ORCID Agustiyar Agustiyar, ORCID R. Rizal Isnanto, ORCID Catur Edi Widodo, ORCID Nur Atiqah Binti Zaini


A COMPARATIVE EVALUATION OF SUPERVISED MACHINE LEARNING METHODS TO PREDICT MACHINERY CONDITION AND RELIABILITY USING LUBRICATION PARAMETERS

Pages 155-168

DOI 10.61552/JAI.2026.03.004

ORCID Qadeer Ahmed, ORCID Hasanur J. Molla, ORCID Ziad M. Aloqifi, ORCID Dahham M. Anazi, ORCID Saad H. Dossary


INTELLIGENT ENERGY MANAGEMENT IN SMALL SATELLITES AND CUBESATS: A COMPREHENSIVE REVIEW OF AI-BASED TECHNIQUES

Pages 169-174

DOI 10.61552/JAI.2026.03.005

ORCID Mohammadparsa Sadoughifar