ISSN :2582-9793

Welcome to the Advances in Artificial Intelligence and Machine Learning (AAIML) - An Artificial Intelligence Journal

AAIML is a global, peer-reviewed, open-access online journal, committed to the timely publication of original work in Artificial Intelligence, Machine Learning, and its related applications. Join the Journal and share your original research..

Our aim is to publish high-quality research in artificial intelligence and machine learning

AAIML publishes Issues six times a year and is committed to a timely peer review process of six to ten weeks from the initial paper submission..

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About Journal

Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793; Scopus Source ID: 21101164612) is a global, peer-reviewed, open-access Artificial Intelligence journal indexed in Web of Science Core Collection (Journal Impact Factor 2025: 0.8) and Scopus (CiteScore 2025: 1.5, Q3 in Artificial Intelligence, CiteScore Percentile: 33rd, H-Index: 9). The journal is committed to the timely publication of original work in Artificial Intelligence and Machine Learning. In addition to original research, the journal encourages review papers, including mini reviews focused on a very specific topic. As a trusted journal of artificial intelligence, its mission is to provide a context for the study of Artificial Intelligence and Human Wellbeing, Human Cognition, Artificial Systems, and Autonomous Machines, among other areas. From 2026 onwards, the journal publishes 6 issues per year (February, April, June, August, October, December).

Online Submission Link Read More 


Journal policy on AI-generated submissions 

AI-generated papers will be rejected immediately without any review. The journal will keep a record of such papers and their authors.

WELCOME MESSAGE FROM EDITOR-IN-CHIEF
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Welcome to the Advances in Artificial Intelligence and Machine Learning (AAIML) journal. Launched in February 2021, the journal has seen a steady increase in the number of high-quality submissions. Thanks are due to the authors, editors, and anonymous reviewers for their contributions to the successful publication of interesting research articles.

AAIML aims to publish original contributions in artificial intelligence and machine learning. Authors are invited to contribute full-length research papers, systematic review papers, and proposals for special issues. As an established journal of artificial intelligence research, AAIML is published six times a year and remains committed to a timely peer review process of six to ten weeks from initial paper submission.

Sincerely,
Anca Ralescu
Anca.Ralescu@uc.edu
Senior Member, IEEE
EECS Department, University of Cincinnati, ML 0030
Cincinnati, OH 45221-0030, USA
Editor-in-Chief


Indexing and Services
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Editorial Board
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Anca L. Ralescu
Editor in Chief

Anca.Ralescu@uc.edu

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Jeffrey E. Arle

jarle@bidmc.harvard.edu

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William Cheng-Chung Chu

cchu@thu.edu.tw

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Andrew A. Goldenberg

golden@mie.utoronto.ca

Recently published articles
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Original Research
Calibration-Aware Hybrid Machine Learning and Deep Learning Ensemble for Cardiovascular Disease Prediction

DOI : 10.54364/AAIML.2026.65341
07-Sep-2026
Marwa Bikai, Milia Habib, Zaher Merhi, Rabih Rammal, Ali El Masri

PDF Abstract


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Review Article
DEEP LEARNING: A SURVEY OF RECENT ADVANCES AND APPLICATIONS IN MACHINE LEARNING

DOI : 10.54364/AAIML.2026.64339
30-Aug-2026
Nahla Flayyih Hasani, Mohammed Salih hussein, Ibrahim Haitham Abdulelah.

PDF Abstract

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Original Research
OFSPUD: Optimizing Feature Selection for Phishing URL Detection through Statistical Tests and Ensemble Methods

DOI : 10.54364/AAIML.2026.64338
30-Aug-2026
Rachana Sandeep Potpelwar, U. V. Kulkarni, J. M. Waghmare.

PDF Abstract

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Original Research
Effect of Degradations Introduced by Imaging Systems in Patch-Based Machine Learning for Mammogram Cancer Detection

DOI : 10.54364/AAIML.2026.64337
29-Aug-2026
Santoresh Kumari Dhimann and Rakesh Kumar Yadav.

PDF Abstract