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Journal of Artificial Intelligence Research & Advances

E-ISSN: 2395-6720 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Artificial Intelligence Research & Advances [2395-6720(e)] is a peer-reviewed hybrid Journal launched in 2014 that investigates the role of artificial intelligence in this rapidly progressing and challenging environment. This journal provides a rich, multidisciplinary platform for current … Research and development and discusses existing and emerging theoretical and applied problems in the rapidly evolving area of intelligent computing.

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Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

84

Published Articles (2024)

52.95

Days Acceptance Time

113.03

Day Publication Time

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Total Visits

Journal Information

Title: Journal of Artificial Intelligence Research & Advances
Abbreviation: joaira
Issues Per Year: 3 Issues
E-ISSN: 2395-6720
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOAIRA
Starting Year: 2014
Subject: Computer Science
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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joaira maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Gunasekaran Gurusamy, Professor, Dean—Freshman Engineering

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India, 600062

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Journal: Journal of Artificial Intelligence Research & Advances

Latest Articles

Ahead of Print

Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem

A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong.

Large Language Models (LLMs); Hallucination; Artificial Intelligence; Natural Language Generation; Retrieval-Augmented Generation (RAG); AI Reliability; Model Calibration; Factuality; Machine Learning; Trustworthy AI

Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review

Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−).

Concrete, Rebar, Corrosion management, Artificial intelligence, Imaging technology

Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions

Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration.

Artificial Intelligence; Tissue Regeneration; Biomaterials; Implants; Machine Learning; 3D Bioprinting

Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel

In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience.

Workforce analytics; Employee engagement; Performance improvement; JD-R Theory

Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices

Artificial Intelligence; Machine Learning; Deep Learning; Precision Agriculture; Smart 1 Farming; Computer Vision; Forest Monitoring; Rural Development; Predictive Analytics; Sustainable Agriculture.

Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis

Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks.

Artificial Intelligence, Knowledge Retention, Cognitive Dependency, Hybrid Learning, Educational Technology
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