ISSN :2582-9793

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

AAIML is a global, peer-reviewe open access online journal, committed to timely publication of original work in Artificial Intelligence and Machine Learning Join the community and share your Research..

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

AAIML is published four times a year and is committed to a timely review peer review process of three to six weeks from the initial paper submission..

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About Journal

Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793, Source Id: 21101164612) is a Web of ScienceScopus Indexed Artificial Intelligence Journal, which is global, peer-reviewed, open access online Journal of Artificial Intelligence, committed to 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 on the study of Artificial Intelligence and Human Wellbeing, Human Cognition, Artificial Systems, Autonomous Machines, etc.

Online Submission Link Read More 

RESPONSE FROM SCOPUS: SCOPUS IS ACTIVELY INDEXING 2021-2025 COVERAGE OF ADVANCES IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 

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 four times a year and continues to be committed to a timely peer review process of three to six weeks of 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
Improving CNN Robustness to Color Shifts via Color Balancing and Spatial Dropout

DOI : https://dx.doi.org/10.54364/AAIML.2025.51205
31-Mar-2025
Pradyumna Elavarthi, Anca Ralescu.

PDF Abstract

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Original Research
Predicting COVID-19 outcomes among Albertans with diabetes and COVID-19: A machine learning approach.

DOI : https://dx.doi.org/10.54364/AAIML.2025.51204
31-Mar-2025
Dean Eurich, Darren Lau, Weiting Li, Olivia R Weaver, Tanya Joon, Ming Ye, Finlay A McAlister, Padma Kaul, Salim Samanani.

PDF Abstract

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Original Research
Next-Generation Noise-Resilient Communication Receiver Design Using Denoising Autoencoders

DOI : https://dx.doi.org/10.54364/AAIML.2025.51203
31-Mar-2025
Varsha PS, Hari VS .

PDF Abstract

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Original Research
Numerical Methods of Synthesis of a Correct Algorithm for Solving Recognition Problems

DOI : https://dx.doi.org/10.54364/AAIML.2025.51202
30-Mar-2025
Islambek Saymanov, Alimdzhan Babadzhanov, Akmal Varisov, Nodirbek Urinov, Anvarxon Madjidov.

PDF Abstract

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Original Research
MCQS GENERATION USING ENSEMBLE MODEL FOR STUDENT PERFORMANCE ASSESSMENT

DOI : https://dx.doi.org/10.54364/AAIML.2025.51201
29-Mar-2025
Madri Vijaya Raju, Sreenivasulu Meruva.

PDF Abstract