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Journal Photo for International Journal of Information Technology and Electrical Engineering
Peer reviewed only Open Access

International Journal of Information Technology and Electrical Engineering (IJITEE)

Publisher : ITEE Publishers
Information Technology Electrical Engineering
Claim Your Journal Get PRC Visit Website
e-ISSN 2306-708X
Issue Frequency Bi-Monthly
Est. Year 2012
Country Pakistan
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iteejournal.org

Journal Descriptions

The ITEE (ISSN:2306-708X) is an international scholarly peer reviewed bi-monthly open access journal. This Journal is launched to promote and publish original high quality research papers with theoretical and scientific aspects in all disciplines of Information Technology and Electrical Engineering.

International Journal of Information Technology and Electrical Engineering (IJITEE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Information Technology, Electrical Engineering , Online , Bi-Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2306-708X, Established: 2012,
  • Does Not Provide Crossref DOI

  • Indexed in: UGC CARE

  • Not indexed in Scopus, WoS, DOAJ, PubMed

Indexing

Publications of IJITEE

Video processing based Decision Making and learning in lawn tennis
Utkarsh Shukla October, 2016
A Blockchain-based Conceptual Framework for Privacy Preserving Self-Sovereign Identity with Selective Disclosure
Hiren B. Patel June, 2022
Identity cards have undergone a significant change from simple paper documents designed for single application to smart electronic cards. Various countries use biometric cards, electronic n...
Enhancing Computational Efficiency in Distributed Learning Models Using Artificial Intelligence within Cloud Computing Environments
Researcher V March, 2025
Cloud computing, coupled with distributed learning, has revolutionized data-intensive applications. However, achieving computational efficiency remains a critical challenge, especially under...
A Hybrid Artificial Intelligence Model for Strengthening Data Confidentiality and Access Control in Banking Systems
Researcher v April, 2025
With increasing digitization in the banking sector, maintaining data confidentiality and managing access control have become critical concerns. This paper presents a novel hybrid Artificial ...
A BAYESIAN FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN AI-DRIVEN DIAGNOSTIC TOOLS FOR RARE AND UNDERREPRESENTED CLINICAL PHENOTYPES
Research Scholar December, 2023
Rare and underrepresented clinical phenotypes pose significant challenges for artificial intelligence (AI)-based diagnostic systems due to limited data and inherent variability. This paper p...
LOW-CODE AI-DRIVEN AUTOMATION FOR ENHANCING OPERATIONAL EFFICIENCY IN SMES
mj iaeme November, 2022
This study explores the integration of low-code platforms with artificial intelligence (AI) to drive automation and enhance operational efficiency in Small and Medium Enterprises (SMEs). By ...
Assessment of Machine Learning Assisted Debugging Approaches in Silicon Validation Workflows
BalaDharshithan September, 2023
The complexity of modern silicon designs necessitates advanced validation strategies to ensure timely product development. Machine Learning (ML) techniques have been increasingly integrated ...
COMPARATIVE ANALYSIS OF NEURAL-SYMBOLIC INTEGRATION TECHNIQUES IN ENHANCING THE INTERPRETABILITY OF ARTIFICIAL INTELLIGENCE DECISION SYSTEMS INHIGH-ST...
Sarah Sami May, 2024
In high-stakes domains such as healthcare, law, and finance, the need for interpretable artificial intelligence (AI) systems has become increasingly critical. Neural-symbolic integration, co...
AI-Enhanced Configuration Management in CI/CD for Scalable and Automated Release Engineering Solutions
Mohamed Taufiq February, 2025
Configuration management (CM) plays a critical role in ensuring consistency, accuracy, and scalability within Continuous Integration and Continuous Deployment (CI/CD) pipelines, especially i...
Leveraging Machine Learning for Real-Time Big Data Analytics in Critical Care and Patient Monitoring Systems
Joseph Moore November, 2024
The advent of machine learning (ML) has revolutionized healthcare, particularly in critical care and patient monitoring systems. This study explores the integration of ML for real-time big d...