Mexican Journal of Artificial Intelligence and Data Science

ISSN: XXXX-XXXX

The Mexican Journal of Artificial Intelligence and Data Science (MJAIDC) is an international, peer-reviewed scientific journal dedicated to publishing high-quality, original research across all areas of computational intelligence, data analytics, and advanced computing. 

The journal serves as an open platform for researchers, academics, and industry practitioners to share theoretical advancements, innovative methodologies, and impactful practical applications. 

• Scope and Topics: The journal welcomes original, unpublished contributions on a broad spectrum of research areas, including but not limited to:

• Artificial Intelligence and Machine Learning

• Deep Learning and Neural Networks

• Data Science and Big Data Analytics

• Natural Language Processing (NLP)

• Image Processing and Computer Vision

• Robotics, Mechatronics, and Software Engineering

• Quantum and Parallel Computing applied to AI

• Human-Computer Interaction (HCI) and Computational Cognitive Sciences

The journal follows an Open Access Policy In a firm commitment to the global dissemination of knowledge and the principles of open science: No Publication Fees: There are absolutely no Article Processing Charges (APC) or hidden fees for authors.  

Open Licensing: All articles are published under a Creative Commons Attribution (CC BY 4.0) open-access license, promoting maximum visibility and collaborative reuse.  

Digital Preservation: To guarantee permanent availability, all published papers are securely hosted and preserved on the Zenodo platform. 

To maintain the highest standards of academic integrity and scientific rigor, the journal adheres to a strict double-blind peer-review policy. All submitted manuscripts are evaluated anonymously by independent experts from our international editorial board based on originality, technical soundness, and overall scientific contribution.