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Journal of Artificial Intelligence Research & Advances Cover

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

74

Published Articles (2024)

47.81

Days Acceptance Time

84.89

Day Publication Time

5,818

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
DOI: 10.37591/JOAIRA
Starting Year: 2014
Subject: Artificial Intelligence Research & Advances
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

View Full Editorial Board

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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Institutional Profile Link:

Journal: Journal of Artificial Intelligence Research & Advances

Latest Articles

Ahead of Print

AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance

Author: Roshan Kakarla, Sai Bharath Sannareddy

Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications.

Artificial intelligence, machine learning, reinforcement learning, natural language processing, cloud security, compliance automation, hybrid cloud, CI/CD; threat detection
11/12/2025 Published Regular Issue Subscription Original Research 01 - 15

Adversarial attacks on machine learning models in cybersecurity: a systematic literature review

Author: Sanjay Singh, Anamika Gupta

Adversarial Machine Learning (AML) is a field that is growing swiftly, especially as machine learning
models are employed more and more in places where security is critical.

Adversarial Machine Learning, Machine Learning Security, Adversarial Attack, Network Security, Machine Learning Models
11/12/2025 Ahead of Print Subscription Review Article -

Reviewing Threat Detection Methods in SaaS Platforms Through the Use of Adaptive Cloud Security Models

Author: Nilesh Jain

Software as a Service (SaaS) solution has revolutionized the contemporary business processes as scalable and service-on-demand solution on cloud networks.

SaaS Security, Threat Detection, Adaptive Cloud Security, cybersecurity, Machine Learning (ML) in Cloud Security, proactive defense, proactive defense
29/09/2025 Ahead of Print Subscription Review Article -

Robust Classification of Traffic Signs Using Relief Feature Reduction Technique

Author: Manisha Vashisht, Joy Vashisht

Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide.

Rrelieff test, artificial neural network, feature selection, traffic sign image
07/08/2025 Published Regular Issue Subscription Review Article 30 - 37

IoT Based Wireless Data Monitoring System with TFT LCD

Author: J.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav

This study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization.

ESP32, DHT11, soil moisture sensor, TFT display, LDR
07/08/2025 Published Regular Issue Subscription Review Article 10 - 18

Optimizing Marketing Campaigns Using Random Forest and A/B Testing

Author: Murugeshwari P., Yuvaraj R., Yogeshwaran M., Prasanna Kumar U.

Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels.

Marketing campaign optimization, Random forest algorithm, audience segmentation, ROI prediction, data driven insights, A/B testing
07/08/2025 Published Regular Issue Subscription Review Article 01 - 09
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