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..

Get In Touch With Us

.

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 

The journal is Scopus indexed, and the year 2025 is also covered in Scopus indexing. The name of the journal can be found in the latest Scopus Master List released on 5th January 2025. The Scopus updates the coverage years in the months of April-May each year.

Scopus Master List URL: Scopus Master List Link 

WELCOME MESSAGE FROM EDITOR-IN-CHIEF
aaiml-editor-in-chief-img

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
aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img aaiml-services-img
Editorial Board
aaiml-editorial-board-img
Anca L. Ralescu
Editor in Chief

Anca.Ralescu@uc.edu

aaiml-editorial-board-img
Jeffrey E. Arle

jarle@bidmc.harvard.edu

aaiml-editorial-board-img
William Cheng-Chung Chu

cchu@thu.edu.tw

aaiml-editorial-board-img
Andrew A. Goldenberg

golden@mie.utoronto.ca

Recently published articles


aaiml-article-img
Original Research
Propensity Model using decision trees (LightGBM) for the Management of the Effective Credit Product in a Financial Entity.

09-Jan-2025
Norberto Ulises Roman Concha, Andrea López, Kathy Ruiz-Carrasco, Carlos Chavez-Herrera, Dominga M. Cano, José Piedra, Juan Carlos Woolkut, Carlos Navarro.

PDF Abstract

aaiml-article-img
Original Research
On possible advantages of conscious systems and a Turing Test for Consciousness

DOI : https://dx.doi.org/10.54364/AAIML.2024.44183
31-Dec-2024
Ralf Otte (GERMANY)

PDF Abstract

aaiml-article-img
Review Article
Application of deep learning algorithms in segmentation of mandibular nerve canal in orthopantomogram (panoramic) radiographs: a State-of-Art systematic review

31-Dec-2024
Mahmood Dashti, Farshad Khosraviani , Mohammad Hosein Amirzade-Iranaq, Neda Tajbakhs, Seyede Fateme Rezaei Taleshi , Sofi Ani, Tara Azimi. (USA)

PDF Abstract