About the Journal

Journal of Recent Innovations in Computer Science and Technology(JRICST) is a double-blind peer-reviewed journal published Quarterly, four (4) Times a year, focusing on theories, methods, and applications in Computer Science and innovation in Technology. It provides a challenging forum for researchers, industrial professionals, engineers, managers, and policymakers working in the field to contribute and disseminate innovative new work on Computer Science and innovation in Technology. 

Journal of Recent Innovations in Computer Science and Technology(JRICST)
Publisher: Academics Achievers Education And Research Foundation (AAERF), India

Address: Umrapur, Ibrahimpur, District Raebareli, Pin-229212

Email: admin@academicsachievers.in

Editor in Chief: Dr. Animesh Srivastava

ISSN (Online): 3050-7030
ISSN (Print): 3050-7022

Manuscript Turnaround Time

Editorial Review: 2-4 days.

Time to First Decision (Peer Review Decision): 2–3 weeks

Overall estimated time from submission to decision: 4-6 weeks.       

Revision Time: 1-2 Weeks                                                                                              

Starting Year of the Journal: 2024 

If submitted within a reasonable timeframe of the issue, the journal’s review and publication process takes approximately 6–8 weeks.                                                          

Frequency: Published quarterly every year in (January, April, July, and October).       

Acceptance Rate: Paper Acceptance Rate of 2025 is 33.33% Details.              

DOI: 10.70454/JRICST

Coverage Areas: The topics covered by this journal include, but are not limited to, the following topics:

  1. Artificial Intelligence (AI) and Machine Learning (ML)
  2. Artificial Intelligence in Healthcare
  3. Blockchain Technology
  4. Cloud Computing
  5. Cyber-Physical Security
  6. Cybersecurity
  7. Data Science and Big Data
  8. Emerging Technologies
  9. Human-Computer Interaction (HCI)
  10. Information System
  11. Internet of Things (IoT)
  12. Networking and Communication
  13. Quantum Computing
  14. Robotics and Automation
  15. Software Engineering
  16. Web Development

Types of Contributions: The Journal accepts the following categories of papers:

Original Research Articles: Presenting novel research findings and contributions to the field.

Review Papers: Providing comprehensive surveys of existing literature on specific topics.

Current Issue

Vol. 3 No. 1 (2026)
View Vol. 3 No. 1 (2026)

JRICST — Journal of Recent Innovations in Computer Science and Technology is a quarterly, peer-reviewed journal dedicated to publishing high-quality research, reviews, and case studies in computer science and allied fields. It provides a platform for innovative ideas and practical applications in areas such as artificial intelligence, data science, cybersecurity, IoT, software engineering, cloud computing, and emerging technologies like blockchain and quantum computing.

JRICST follows a rigorous double-blind review process to ensure originality and quality. Each issue highlights current trends and future directions, bridging the gap between theory and real-world applications in computing and technology.

Published: 2026-01-20

Article

  • Secure and Compressed Data Transmission Using ECC Key Sharing, DNA Cryptography, and LZ77 Compression

    Asamene Kelelom, Addisu Oumer, Pawan Kumar, Beer Singh (Author)
    1-15
    • PDF Abstract views: 52 / PDF downloads: 24
    DOI: https://doi.org/10.70454/JRICST.2026.30101

  • Disaster Damage Assessment Using Deep Learning and Satellite Imagery

    Rakesh Pandey (Author)
    16-25
    • PDF Abstract views: 35 / PDF downloads: 20
    DOI: https://doi.org/10.70454/JRICST.2026.30102

  • AI-based Diagnostic System for Chest X-rays: A Multi-Labeled Classification Approach using Deep Learning

    Deepak Raj Sharma (Author)
    26-37
    • PDF Abstract views: 30 / PDF downloads: 18
    DOI: https://doi.org/10.70454/JRICST.2026.30103

  • Security of AI Models using Paillier cryptosystem

    Brook Hilemriam, Asamene Kelelom, Beer Singh (Author)
    38-51
    • PDF Abstract views: 46 / PDF downloads: 29
    DOI: https://doi.org/10.70454/JRICST.2026.30104

  • Adaptive Machine Learning Strategies for Detecting Malicious URLs

    hemendra sharma Shanker (Author)
    52-63
    • PDF Abstract views: 35 / PDF downloads: 17
    DOI: https://doi.org/10.70454/JRICST.2026.30105

  • Detection of Mozi IoT Botnet Using Autoencoder-Based Feature Learning and Hashing

    Nitesh Kumar Saxena, Dr. Bhupender Singh Rawat (Author)
    64-73
    • PDF Abstract views: 32 / PDF downloads: 19
    DOI: https://doi.org/10.70454/JRICST.2026.30106
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