Number of Volumes 3
Number of Issues 10
Number of Articles 53
Number of Contributors 146
-----------------------------------------
Number of Submissions 94
Time to Accept (Days) 72
Number of Indexing Databases 1
Number of Reviewers 169

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.

 


                                                                                        Follow us:
  Google Scholar Academia LinkedIn                               
Current Issue: Volume 3, Issue 2, June 2026 


AN INTEGRATED IOT FRAMEWORK FOR PROACTIVE ROAD SAFETY AND ACCIDENT MITIGATION IN HILLY TERRAINS

Pages 67-74

DOI 10.61552/JAI.2026.02.001

Anika Tabassum, ORCID Asif Eakball Emon


PRIVACY AND DATA PROTECTION IN AI-DRIVEN LEGAL SERVICES: AN ANALYSIS OF INDIA'S EMERGING CHALLENGES AND SOLUTIONS

Pages 75-84

DOI 10.61552/JAI.2026.02.002

ORCID Manindra Singh Hanspal, Bijayananda Behera


AUTOMATIC NUMBER PLATE RECOGNITION (ANPR) SYSTEM ENHANCING SECURITY IN BANGLADESH

Pages 85-94

DOI 10.61552/JAI.2026.02.003

ORCID Md Shawon, ORCID Sohan Molla, ORCID Sajib Nowjh, ORCID Asif Eakball Emon, ORCID Kanij Fatema


PREDICTING CUSTOMER CHURN WITH ADVANCED MACHINE LEARNING APPROACH

Pages 95-104

DOI 10.61552/JAI.2026.02.004

ORCID Sachin Gaur, ORCID Dhruv Lingwal


INVERSE FILTER-BASED IMAGE RECONSTRUCTION FOR IMPROVED ANPR PERFORMANCE IN BANGLADESH SECURITY SYSTEMS

Pages 105-114

DOI 10.61552/JAI.2026.02.005

ORCID Asif Eakball Emon, ORCID Md Shawon, ORCID Sohan Molla, ORCID Md. Sajib Nowjh, ORCID Utsa Sen