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International Journal of Information Technology and Electrical Engineering (IJITEE)

Publisher :

ITEE Publishers

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Peer reviewed only
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Open Access
  • Information Technology
  • Electrical Engineering
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 in - 2012, Impact Factor

Not Provide Crossref DOI

Indexed in UGC CARE

Not indexed in Scopus, WoS, DOAJ, PubMed

Indexing

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ABCD
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UGC CARE
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WorldCat

+4 More

Publications of IJITEE

  • dott image October, 2016

Video processing based Decision Making and learning in lawn tennis

  • dott image June, 2022

A Blockchain-based Conceptual Framework for Privacy Preserving Self-Sovereign Identity with Selective Disclosure

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...

  • dott image Researcher V
  • dott image March, 2025

Enhancing Computational Efficiency in Distributed Learning Models Using Artificial Intelligence within Cloud Computing Environments

Cloud computing, coupled with distributed learning, has revolutionized data-intensive applications. However, achieving computational efficiency remains a critical challenge, especially under...

  • dott image April, 2025

A Hybrid Artificial Intelligence Model for Strengthening Data Confidentiality and Access Control in Banking Systems

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 ...

  • dott image Research Scholar
  • dott image December, 2023

A BAYESIAN FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN AI-DRIVEN DIAGNOSTIC TOOLS FOR RARE AND UNDERREPRESENTED CLINICAL PHENOTYPES

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...

  • dott image November, 2022

LOW-CODE AI-DRIVEN AUTOMATION FOR ENHANCING OPERATIONAL EFFICIENCY IN SMES

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 ...

  • dott image September, 2023

Assessment of Machine Learning Assisted Debugging Approaches in Silicon Validation Workflows

The complexity of modern silicon designs necessitates advanced validation strategies to ensure timely product development. Machine Learning (ML) techniques have been increasingly integrated ...

  • dott image May, 2024

COMPARATIVE ANALYSIS OF NEURAL-SYMBOLIC INTEGRATION TECHNIQUES IN ENHANCING THE INTERPRETABILITY OF ARTIFICIAL INTELLIGENCE DECISION SYSTEMS INHIGH-ST...

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...

  • dott image February, 2025

AI-Enhanced Configuration Management in CI/CD for Scalable and Automated Release Engineering Solutions

Configuration management (CM) plays a critical role in ensuring consistency, accuracy, and scalability within Continuous Integration and Continuous Deployment (CI/CD) pipelines, especially i...

  • dott image November, 2024

Leveraging Machine Learning for Real-Time Big Data Analytics in Critical Care and Patient Monitoring Systems

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...

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