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Journal Photo for International Journal of Scientific Research in Computer Science and Information Technology
Peer reviewed only Open Access

International Journal of Scientific Research in Computer Science and Information Technology (IJSRCSIT)

Publisher : IJSRCSIT Publication
Computer Science Information Systems AI/ML
Claim Your Journal Get PRC Visit Website
e-ISSN 3232-4536
Issue Frequency Monthly
Est. Year 2019
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email ijsrcsit@gmail.com

Journal Descriptions

IJSRCSIT (International Journal of Scientific Research in Computer Science and Information Technology) is an open-access, peer-reviewed, multidisciplinary journal founded in 2019. It aims to foster innovation and global academic collaboration across computing and its applications. Our mission is to provide a robust platform for publishing high-impact research and practical insights in Computer Science, Information Technology, Artificial Intelligence, Cybersecurity, Blockchain, and Data Analytics. We empower both academia and industry researchers to contribute to and access world-class knowledge.

International Journal of Scientific Research in Computer Science and Information Technology (IJSRCSIT) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computer Science, Information Systems, AI/ML, IoT, Cloud Computing, Cybersecurity, Data Science, Big Data , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3232-4536, Established: 2019,
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of IJSRCSIT

QUICKFABRIC - A SELF-SERVE TOOL TO SET UP AWS EMR IN MULTIPLE ACCOUNTS WITH ONE BUTTON CLICK
Khilawar Verma May, 2025
QuickFabric, a self-service web-based automation can be used to streamline the management and monitoring of Amazon EMR (Elastic MapReduce) clusters across various AWS accounts. Designed as a...
ADAPTIVE ETL ARCHITECTURES FOR HIGH-FIDELITY DATA INTEGRATION IN MULTI-CLOUD ENVIRONMENTS
Allan Martin March, 2025
The rapid expansion of multi-cloud architectures demands high-fidelity data integration solutions that ensure accuracy, consistency, and low latency in data handling across heterogeneous clo...
Federated Learning, Privacy-Preserving Machine Learning, and Medical Diagnosis Systems across Distributed Networks
Sophia D. October, 2020
This research explores a federated learning framework designed to address privacy concerns in medical diagnostics across geographically distributed hospitals. Traditional machine learning ap...
Real-Time Anomaly Detection in Industrial IoT Systems Using Hybrid Deep Learning and Edge Computing
Richard J Davidson February, 2021
Industrial Internet of Things (IIoT) systems generate vast volumes of sensor data in real-time, demanding immediate analysis to detect anomalies that could indicate faults or cybersecurity t...
Explainable AI in Financial Decision-Making: A Comparative Study of Interpretable Machine Learning Models for Credit Risk Assessment
Cameron Aiden May, 2022
The increasing reliance on machine learning models in credit risk assessment has prompted a critical need for transparency and interpretability in financial decision-making. Explainable Arti...
Quantum-Inspired Algorithms for NP-Hard Problems: A Novel Heuristic Approach to Combinatorial Optimization
Alireza Eftekhari September, 2023
NP-hard combinatorial optimization problems pose significant challenges due to their computational complexity and the exponential growth of the solution space. Quantum-inspired algorithms (Q...
Energy-Aware Scheduling in Cloud Data Centers Using Reinforcement Learning: Reducing Carbon Footprint and Operational Cost
Abdullahi Ibrahim January, 2023
The exponential growth of cloud computing has elevated energy consumption in data centers, contributing significantly to operational costs and environmental degradation. Addressing this, our...
Blockchain-Based Secure Voting Systems: Design, Implementation, and Empirical Evaluation in a Controlled Environment
Ram Krishna January, 2024
The integration of blockchain technology into electronic voting systems presents a promising avenue for enhancing electoral transparency, security, and trust. This study explores the design,...
Human-in-the-Loop Automated Software Testing Enhancing Coverage and Reducing False Positives Through Interactive Machine Learning
Neil Javier April, 2025
Software testing is a critical component of software development, yet traditional automation often struggles with low coverage and high false positives. This paper introduces a Human-in-the-...
Cybersecurity Threat Forecasting via Social Media Signals and Dark Web Monitoring: A Multi-Source Predictive Analytics Framework
Frank Ray August, 2025
In the evolving landscape of cybersecurity, traditional reactive measures are increasingly inadequate against sophisticated threats. This research introduces a multi-source predictive analyt...