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

Starting Year of the Journal: 2024                                                       

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

Acceptance Rate: Paper Acceptance Rate of 2026 is 24% 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. 2 (2026)
View Vol. 3 No. 2 (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: 2026-04-06

Article

  • YOLO Based Deep Learning Framework for Cotton Leaf Disease Detection in Smart Farming Systems

    Vikash Sawan H. N sharma, Koushik Choudhury, Abhay Pratap Singh Bhadauria, Kumari Jugnu (Author)
    1-11
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30201

  • Cryptographic Techniques for IoT: A Survey of Symmetric, Asymmetric, and Post Quantum Algorithms

    Bhupender Rawat, Mohan Vishal Gupta, Amit Kumar, Ashish Bishnoi, Manish Joshi (Author)
    12-21
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30202

  • Deep Learning Based Tomato Leaves Disease Detection: A Comprehensive Approach Using Convolutional Neural Networks

    Krishna Kumar, Mohan Vishal Gupta, Amit Kumar, Ashish Bishnoi, Manish Joshi (Author)
    22-30
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30203

  • Multi-Label Emotion Classification Using Deep Learning on the Go-Emotions Dataset

    Deepak Goswami, Shyamol Banerjee (Author)
    31-44
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30204

  • Agentic AI with Large Language Models for Precision Farming: Advancing Sustainable Resource Optimization in Smart Agritech

    Gulbir Singh, Gautam Kumar, Ishwari Singh Rajput, Anuj Kumar, Sonam Tyagi (Author)
    45-65
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30205

  • Predictive Design Customization Using Machine Learning

    Sumendra Nath Singh Nath, Vandna Kumari (Author)
    66-76
    • PDF Abstract views: 0 / PDF downloads: 0
    DOI: https://doi.org/10.70454/JRICST.2026.30206
View All Issues