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Journal of Artificial Intelligence Research & Advances

joaira | E-ISSN: 2395-6720 | Peer-Reviewed | Hybrid

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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 of Artificial Intelligence Research Advances (JOAIRA): 2395-6720(e) is a peer-reviewed hybrid open-access journal launched in 2014 that investigates the role of

Journal Information

Title:
Journal of Artificial Intelligence Research Advances
Abbreviation:
JOAIRA
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2395-6720
Publisher:
116314
DOI:
10.37591/JOAIRA
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

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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Institutional Profile Link:

Journal: Journal of Artificial Intelligence Research & Advances

Latest Articles

Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack

The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities.

IoT Security, Convolutional Neural Networks, Long Short-Term Memory, AI Driven Security, DDoS Attacks, Intrusion Detection Systems, Smart Cities

​​​I​ntelligent Systems: A study on AI and Machine learning

Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence.

Artificial Intelligence, Machine Learning, Bias, Supervised Learning, Unsupervised Learning

A Study on Artificial Intelligence in UI/UX Design

User interface/user experience (UI/UX) design plays a crucial role in shaping how users interact with and perceive digital platforms, as it directly influences usability, satisfaction, and overall engagement.

Artificial intelligence (AI), digital interfaces, machine learning, personalization, UI/UX, user experience

Transformative Digital Learning Through AI Technologies

The progress of artificial intelligence (AI) has brought about a remarkable change in the educational system.

Artificial Intelligence in Education; Digital learning; Personalized learning; Adaptive learning; intelligent tutoring; ED tech; Data driven education; Inclusive learning; Educational transformation.

Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities

Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating.

Blockchain, Smart Contracts, Security Vulner- abilities, Static Analysis, Mythril, Slither, Oyente, Ethereum, Reentrancy Attacks, Integer Overflow, Formal Verification

A Comparison of Different Generative AI Models

Generative models have significantly advanced the field of artificial intelligence by allowing machines
to produce complex and realistic outputs such as images, text, and other forms of data.

Generative models, generative adversarial networks (GANs), variational autoencoders (VAEs), Transformers, neural networks, artificial intelligence, image synthesis, machine learning models, computational efficiency, likelihood estimation, performance evaluation

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