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Journal Photo for ISCSITR - International Journal of Computer Science and Engineering
Peer reviewed only Open Access

ISCSITR - International Journal of Computer Science and Engineering (ISCSITR-IJCSE)

Publisher : ISCSITR journals
Computer Science Information Technology Artificial Intelligence (AI)
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e-ISSN 3067-7394
Issue Frequency Monthly
Est. Year 2020
Mobile 1234567809
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iscsitr.com

Journal Descriptions

ISCSITR - International Journal of Computer Science and Engineering (ISCSITR-IJCSE) is a prominent open-access, peer-reviewed journal affiliated with the International Society for Computer Science and Information Technology Research (ISCSITR). The journal is dedicated to advancing research and scholarship in the fields of computer science, information technology, and engineering. By providing a platform for researchers, professionals, and academics from around the globe, ISCSITR-IJCSE facilitates the dissemination of cutting-edge research findings, technical innovations, and scholarly contributions in these dynamic and evolving fields. The primary aim of ISCSITR-IJCSE is to promote research and innovation within computer science and engineering, focusing on both theoretical and applied aspects. The journal seeks to foster the development of new insights and technologies, addressing key challenges and enabling progress in computing and information technology. As an open-access journal, ISCSITR-IJCSE is committed to ensuring that high-quality research is freely accessible to the global community, promoting knowledge sharing and collaboration across institutions and borders.

ISCSITR - International Journal of Computer Science and Engineering (ISCSITR-IJCSE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computer Science, Information Technology, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data Analytics, Internet of Things (IoT), Cyber-Physical Systems (CPS), Computer Networks, Security, Software Engineering , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3067-7394, Established: 2020,
  • Does Not Provide Crossref DOI

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

Indexing

Publications of ISCSITR-IJCSE

Fair and Accountable AI in Healthcare: Building Trustworthy Models for Decision-Making and Regulatory Compliance
Researcher v May, 2025
While this research aims for mitigating bias, regulation, accountability and transparency in fair and accountable AI in healthcare, these can be extended to other health contexts. It present...
Template-Driven Assessment Toolkit: A Cloud-Native Architecture for Adaptive Learning
Researcher v May, 2025
This paper discusses the Template Driven Assessment Toolkit (TDAT), a cloud based adaptive learning architecture developed to increase student engagement, performance and to increase instruc...
Cloud Investment Management in the Age of AI Infrastructure: A Centralized SAP Capex Management Approach
AnandakumarSundaramoorthy May, 2025
Given the current state of the Digital Era, AI, and Cloud Capital Expenditure (Capex) management requires higher levels of visibility, enhanced flexibility, and degree of contro...
Decentralized Supply Chain Provenance and Optimization Using Blockchain and AI/ML
Laxmikanth Mukund April, 2025
In this study, a decentralized supply chain framework based upon blockchain and AI/ML for provenance is proposed and combined for intelligent optimization in decentralized supply chain. It g...
Enhancing the Performance and Interpretability of Machine LearningModels Through Explainable Artificial Intelligence Techniques
JEEVAN V March, 2025
Data mining and data warehousing are pivotal components in modern data management and analytics, supporting the extraction of meaningful information from large data sets to drive decision-ma...
Evaluation of Semi-Supervised Learning Techniques for Improving Model Generalization in Sparse Data Environments
Sunitha Soumya October, 2022
Sparse data environments challenge traditional machine learning models by limiting the availability of labeled examples. Semi-supervised learning (SSL) offers a promising direction by levera...
Trends and Challenges in Software Engineering Methodologies within Modern Computer Science Education
Charles James October, 2022
The evolution of software engineering methodologies has significantly influenced the structure and content of modern computer science education. As industries demand agile, adaptable, and co...
Building a Modular AI Deployment Framework for Model Sharing Across Cloud Environments
mj iaeme November, 2024
The proliferation of AI models across industries has spurred the need for flexible and interoperable deployment strategies that enable seamless migration and sharing across heterogeneous clo...
Architectures of Interpretability in Deep Neural Networks for Transparent Clinical Decision Support in High-Stakes Diagnostic Environments
Research Scholar April, 2022
The integration of deep neural networks (DNNs) in clinical decision-making systems promises unprecedented accuracy, particularly in complex, high-stakes diagnostic contexts. However, the "bl...
Application of Digital Twin Technology for Predictive Control andLifecycle Optimization in Autonomous Industrial Robotics
qit press December, 2025
This paper explores the integration of Digital Twin (DT) technology into autonomous industrial robotics with a focus on predictive control and lifecycle optimization. As smart factories evol...