📢 Latest Update: UGC Discontinues CARE Journal Listing: New Guidelines for Selecting Peer-Reviewed Journals View Now

[email protected] (+91)120-4781-208
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.

View full focus & scope More

Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

72

Published Articles (2024)

50.68

Days Acceptance Time

89.32

Day Publication Time

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
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

Email :

Institutional Profile Link:

Journal: Journal of Artificial Intelligence Research & Advances

Latest Articles

Ahead of Print

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

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

Robust Classification of Traffic Signs Using Relief Feature Reduction Technique

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

IoT Based Wireless Data Monitoring System with TFT LCD

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

Optimizing Marketing Campaigns Using Random Forest and A/B Testing

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

Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters

In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques.

Smart water meters; computational intelligent techniques; artificial intelligence; machine learning; water management; water conservation

Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents

In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations.

Customer engagement, neural collaborative filtering (NCF), long short-term memory (LSTM), generative pre-trained transformer (GPT), MovieLens dataset