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International Journal of Engineering and Technology Research and Development (IJETRD)

Publisher :

Google Scholar

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Peer reviewed only
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Open Access
  • technology
  • engineering
  • Mechanical Engineering

    • +3

e-ISSN :

X11XX-XXYx

Issue Frequency :

Monthly

Est. Year :

2020

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Email :

editor.ijetrd@gmail.com

Journal Descriptions

International Journal of Engineering and Technology Research and Development (IJETRD) is a peer-reviewed, open-access journal dedicated to publishing high-quality research and innovative findings in engineering and technology. Established in 2020, IJETRD serves as a platform for academicians, researchers, and industry professionals to share cutting-edge advancements and insights across various disciplines, including but not limited to mechanical, electrical, civil, computer, and environmental engineering. With a commitment to fostering knowledge dissemination, the journal emphasizes originality, technical rigor, and practical applications in the rapidly evolving fields of engineering and technology. Promote high-quality research and technical innovation across various engineering disciplines. Bridge the gap between academia and industry through the publication of practical, solution-driven research. Facilitate global knowledge sharing by fostering collaboration and discussion among experts from different technical fields.


International Journal of Engineering and Technology Research and Development (IJETRD) is :

International, Peer-Reviewed, Open Access, Refereed, technology, engineering, Mechanical Engineering, Civil and Structural Engineering, Electrical and Electronics Engineering, Computer Science and Information Technology , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - X11XX-XXYx, Established in - 2020, Impact Factor

Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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Google Scholar
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Scopus
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Research Gate

+1 More

Publications of IJETRD

  • dott image Research Scholar
  • dott image April, 2025

Analyzing the Impact of DevOps Practices on Software Delivery Performance in Agile Environments

The modern software development ecosystem demands agility, speed, and reliability. Agile methodologies address adaptability and iterative development, while DevOps practices empower automati...

  • dott image Research Scholar
  • dott image January, 2025

Unveiling Machine Learning Paradigms Through Adaptive Algorithms and Data-Driven Insights

The evolution of machine learning (ML) has ushered in a new era of data-driven decision-making, where adaptive algorithms play a pivotal role in harnessing complex datasets. This paper delve...

  • dott image July, 2025

Advancing Cloud Computing Architectures: Boosting Scalability, Security, and Innovation in Enterprise Applications During Digital Transformation

Cloud computing has continuously evolved, reshaping the scalability, agility, and security of enterprise applications. As businesses transition to cloud-based infrastructures, emerging archi...

  • dott image April, 2025

AI-Powered Automation of Regulatory Compliance in Global Financial Operations and Reporting Structures

The complexity and volume of global financial regulations have made compliance a resource-intensive and error-prone endeavor for multinational institutions. Artificial Intelligence (AI), par...

  • dott image qit press
  • dott image April, 2025

Adaptive Federated Meta-Learning for Real-Time Personalization in Distributed Cloud-Edge Data Infrastructures

With the increasing proliferation of edge devices and context-aware applications, real-time personalization of services is becoming critical in domains such as healthcare, smart homes, and m...

  • dott image qit press
  • dott image May, 2025

Quantifying Uncertainty in Probabilistic Data Analytics Models for Decision Support under Risk and Ambiguity

Decision-making in data-intensive environments often involves varying degrees of uncertainty, particularly when risk and ambiguity are both present. Probabilistic data analytics models, such...

  • dott image qit press
  • dott image May, 2025

Implementing AI-Driven Clinical Workflow Automation to Reduce Physician Burnout and Enhance Operational Efficiency in Tertiary Care Hospitals

Tertiary care hospitals, often characterized by complex patient loads and high operational demands, have witnessed an alarming rise in physician burnout and systemic inefficiencies. This stu...

  • dott image May, 2025

Using AI to Optimize Internal Communication Flows Within Remote Work Organizations

The rise of remote work has transformed how organizations manage internal communication. Artificial Intelligence (AI), particularly natural language processing (NLP) and communication analyt...

  • dott image ijrcait ijrcait
  • dott image August, 2024

A Study on Security and Privacy Frameworks for Cloud Computing in Multi-Tenant Infrastructures

Cloud computing has revolutionized the IT landscape, yet its multi-tenant infrastructure poses significant security and privacy concerns. This paper explores established frameworks, threat m...

  • dott image July, 2022

Anomaly Detection in Semiconductor Process Validation Using Unsupervised Learning and Generative Models

Semiconductor manufacturing is characterized by highly complex, multistage processes that demand stringent validation to maintain product quality and yield. As traditional supervised approac...

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