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

Publisher :

ISCSITR journals

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Computer Science
  • Information Technology
  • Artificial Intelligence (AI)

    • +8

e-ISSN :

3067-7394

Issue Frequency :

Monthly

Est. Year :

2020

Mobile :

1234567809

Country :

United States

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 in - 2020, Impact Factor

Not Provide Crossref DOI

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

Indexing

Scopus Profile
Google Scholar
Scopus Profile
Research Gate
Scopus Profile
Academia

Publications of ISCSITR-IJCSE

  • dott image Research Scholar
  • dott image January, 2022

Evaluating Blockchain Based Identity Management Systems for Secure Digital Transformation

The shift toward digital transformation in both public and private sectors demands robust, secure identity management systems. Blockchain technology promises decentralized, tamper-resistant ...

  • dott image qit press
  • dott image April, 2025

Scalable Orchestration of AI Model Lifecycles in Multi-Zone Cloud Platformsthrough Intelligent Resource Prediction and Auto-DeploymentPipelines

Efficiently managing the AI model lifecycle in cloud-native ecosystems has become increasingly complex, especially in multi-zone cloud platforms. To maintain performance and reliability acro...

  • dott image qit press
  • dott image June, 2024

Softphones in Modern Communication: An In-Depth Analysis with Emphasis on Pandemic Applications

Softphones, software-based communication software, have transformed telephony in the modern era by allowing voice and video calls over the Internet without using the conventional hardware. I...

  • dott image qit press
  • dott image December, 2025

Application of Digital Twin Technology for Predictive Control andLifecycle Optimization in Autonomous Industrial Robotics

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...

  • dott image qit press
  • dott image December, 2025

Application of Digital Twin Technology for Predictive Control andLifecycle Optimization in Autonomous Industrial Robotics

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...

  • dott image Research Scholar
  • dott image April, 2022

Architectures of Interpretability in Deep Neural Networks for Transparent Clinical Decision Support in High-Stakes Diagnostic Environments

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...

  • dott image November, 2024

Building a Modular AI Deployment Framework for Model Sharing Across Cloud Environments

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...

  • dott image October, 2022

Trends and Challenges in Software Engineering Methodologies within Modern Computer Science Education

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...

  • dott image October, 2022

Evaluation of Semi-Supervised Learning Techniques for Improving Model Generalization in Sparse Data Environments

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...

  • dott image March, 2025

Enhancing the Performance and Interpretability of Machine LearningModels Through Explainable Artificial Intelligence Techniques

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...

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