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 timely publication of original
work in Artificial Intelligence and Machine Learning Join the community and share your Research.

Our aims 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 of the initial paper submission.

Get In Touch With Us

About Journal
Artificial Intelligence Journal

Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793, Source Id: 21101164612, Cite Score: 0.7) is a Scopus 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
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 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
Acoustic Spectral Analysis for Emergency Vehicle Detection: Symbolic and CNN Approaches

19-Apr-2024
Alberto Pacheco, Mariano Rivera, Raymundo Torres.

PDF Abstract

aaiml-article-img
Original Research
Variational Quantum Linear Solver Enhanced Quantum Support Vector Machine

12-Apr-2024
Jianming YI, Kalyani Suresh , Ali Moghiseh, Norbert Wehn,

PDF Abstract



aaiml-article-img
Original Research
A Contour-Based Feature Extraction Algorithm

DOI : https://dx.doi.org/10.54364/AAIML.2024.41121
30-Mar-2024
Wenjiao liu and Anca Ralescu

PDF Abstract

No. of Online Users: