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Journal of Artificial Intelligence Research & Advances

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

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89

Published Articles (2024)

55.3

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110.9

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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

Scalable System for Identifying and Flagging Misinformation Using AI/ML and DL

The fast spread of realistic fake media means we need to make a system to identify false information that can work with a lot of data.

Identifying misinformation, deep learning, transfer learning, detecting deepfakes, Xception, image classification

An Intelligent AI–ML Framework for Deepfake Generation and Detection

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) have led to the rise of deepfake technology, making it one of the most impactful innovations in the digital world.

Artificial intelligence, machine learning, deepfake Detection, CNN, DNN, digital forensics, cyber security

SpeakSense: AI Powered Interview Analayzer and Feedback System

The increasing competition in the job market has made effective interview performance a critical skill for students and professionals.

AI-based interview, AI interview system, natural language processing (NLP), AI-based solution, feedback

Artificial Intelligence for Fair Hiring: A Critical Review of Diversity and Inclusion Outcomes

Artificial Intelligence has become one of the most innovative technologies to sweep across industries over recent years and recruitment is no exception.

Artificial intelligence (AI), machine learning, recruitment, AI-driven systems, re-skilling

Advancing Threat Intelligence: A Synergistic Convergence of AI and Machine Learning for Proactive Detection

The need for defense systems that are smarter, faster, and more adaptable has never been greater in an era when cyber threats are becoming increasingly intelligent and evasive.

Cybersecurity, threat intelligence, artificial intelligence, machine learning, proactive threat detection

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

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