Machine Learning and IoT Enabled Applications

The Journal of Intelligent Machine Learning and IoT Enabled Applications invites contributions on pioneering advancements in the fields of machine learning, artificial intelligence, and Internet of Things (IoT) applications. Authors are encouraged to submit original research that showcases innovations aimed at advancing the state-of-the-art in areas such as intelligent algorithms, machine learning models, IoT-driven data acquisition and processing, edge and cloud computing for IoT, smart sensor technologies, adaptive and autonomous systems, and real-time data fusion techniques. The journal also welcomes papers on the development of novel methodologies for performance evaluation of intelligent systems, optimization of machine learning models for IoT environments, and the integration of IoT and AI in connected ecosystems. Our mission is to disseminate cutting-edge knowledge that bridges the gap between machine learning theory and its practical applications in the IoT domain, fostering a deeper understanding of how these technologies can be leveraged to create intelligent, responsive, and sustainable systems.

Editor-in-Chief

Dr. K. Saravanan, FIE

Affiliation : College of Engineering, Anna University, Tamilnadu, India.   
Department of Computer Science and Engineering, 
Deputy Director, Centre for University Industry Collaboration (CUIC)
Expertise : Cloud Computing, Semantic Web, Smart Cities, Blockchain Technology, Software Engineering, Internet of Things and Education Technology
Email: saravanankrish@annauniv.edu

Associate Editors

Dr. Muhammad Asim Saleem

Affiliation :Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology,  
Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, 
Bangkok 10330, Thailand.
Email:Muhammadasim.S@chula.ac.th

Dr. Răzvan Gabriel BOBOC

Affiliation : Department of Automotive and Transport Engineering,  
Colina Universității, Brașov, Romania.
Email:razvan.boboc@unitbv.ro

Dr. Waheb A. Jabbar

Affiliation : Birmingham City University United Kingdom.
Email:waheb.abdullah@bcu.ac.uk

Dr. Joanna Rosak Szyrocka

Affiliation : Czestochowa University of Technology, Częstochowa, Poland
Email:Joanna.rosak-szyrocka@wz.pcz.pl

DR. RIYAZ SHEIKH ABDULLAH, SAUDI ARABIA

Affiliation :Jazan University, Jazan, Saudi Arabia
Email:rasheikh@jazanu.edu.sa

Dr. Mudassir Khan, Ph.D, PostDoc

Affiliation : College of Computer Science, King Khalid University, Saudi Arabia
Email:mkmiyob@kku.edu.sa

Dr. Yancho Basil Wiryen

Affiliation : Laboratory of Applied Computer Science, University of Douala, Cameroon
Email:yancho.basil@unidou.com

The Journal of Intelligent Machine Learning and IoT Enabled Applications has been abstracted or indexed by

The Journal of Intelligent Machine Learning and IoT Enabled Applications is a peer-reviewed journal dedicated to ensuring the highest standards of publication. All submitted manuscripts undergo a single-blind peer review process, where the reviewers' identities remain anonymous to the authors, but the authors' identities are known to the reviewers. For further details on conducting a review, please refer to our reviewer guidelines.

Upon submission, all manuscripts are automatically screened for plagiarism using Turnitin. Submissions passing this check are initially appraised by the Editor-in-Chief. Manuscripts deemed relevant and within the journal’s scope, exhibiting clarity and novelty, are then subjected to a rigorous peer review process by independent and anonymous expert referees. Authors are not permitted to suggest their own reviewers. Manuscripts may be rejected during the pre-screening process if they fail to align with the journal's aims and scope, suffer from poor quality writing, do not adhere to the submission guidelines, or lack originality.

Manuscripts deemed suitable for review are assigned to a handling editor, who will invite expert reviewers to evaluate the submission. Typically, decisions are based on three reviews; however, in some cases, two reviews may suffice. The Editor-in-Chief aims for a typical turnaround time of 3 months from submission to the first decision.

Reviewers evaluate manuscripts based on the following criteria:

Originality, novelty, and significance of the research
Technical quality and soundness of the methodology
Clarity and organization of the presentation
Overall impact and contribution to the field

Based on the reviewers' feedback, the handling editor will recommend one of the following actions to the Editor-in-Chief:

Accept: The manuscript is suitable for publication with only minor revisions, requiring no further reviews.

Minor revisions required: The manuscript requires moderate changes. If these are satisfactorily addressed, the manuscript may be accepted. The revised manuscript will be reviewed by the Editor-in-Chief and possibly sent back to reviewers for further evaluation. Authors must provide a detailed response to reviewers' comments in their resubmission.

Major revisions required: The manuscript is not yet suitable for publication but may become acceptable after significant revisions. The revised manuscript will undergo a full second round of peer review. Authors must provide a comprehensive response to reviewers' comments in their resubmission.

Reject: The manuscript is rejected due to misalignment with the journal's scope, insufficient relevance, or failure to meet the quality standards regarding significance, novelty, and presentation.

Authors will be notified of the final decision by the Editor-in-Chief, whose decision is final.