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 international journal indexed in Web of Science (Impact Factor= 0.5)Scopus (CiteScore: 1.4, 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. The mission of the Advances in Artificial Intelligence and Machine Learning is to provide a context for the study of Artificial Intelligence and Human Wellbeing, Human Cognition, Artificial Systems, Autonomous Machines, etc. 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, who have contributed to the successful publication of very 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. AAIML is published six times a year and continues to be committed to a timely peer review process of six to ten weeks from the 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
How Generative AI impacts B2B-Sales and Content Creation

DOI : 10.54364/AAIML.2026.62298
22-Apr-2026
Luca Braun

PDF Abstract

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Original Research
Deep Learning Framework Using DenseNet-169 Based-features Derived from Thermal Images for Dermatological Disease Identification

DOI : 10.54364/AAIML.2026.62297
21-Apr-2026
Ashu Sharma, Tinny Sawhney, Pawanesh Abrol, Parveen Kumar Lehana

PDF Abstract

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Original Research
Evaluating the Impact of SMOTE and SHAP on Machine Learning Classifiers: Enhancing Predictive Performance through Imbalance Mitigation and Interpretability

DOI : 10.54364/AAIML.2026.62296
18-Apr-2026
Ayad Hameed Mousa, Elham Mohammed Thabit A. Alsaadi, Mohammed Abdallazez Mohammed, Hussam Mezher Merdas, Shahad Dakhil Khalaf.

PDF Abstract

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Review Article
The Impact of Artificial Intelligence Systems on Organizational Competitive Advantage: An Analytical Study

DOI : 10.54364/AAIML.2026.62295
08-Apr-2026
Khalidh Jasim Abbas, Usama Samir Mahmoud, Israa Abd ULkareem Hussein, Omer Abdulhaleem Naser.

PDF Abstract

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Original Research
From Behavioral Interventions to Algorithmic Architecture: Nudging and Ethics in AI-Driven Finance

DOI : 10.54364/AAIML.2026.62294
02-Apr-2026
Safaâ Houna, Magdalena Wittmann.

PDF Abstract