International Journal of Machine Systems and Manufacturing Technology
Editor Overview
ijmsmt maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
E-mail:
[email protected]
Phone:
(+91)-0120- 4781-200
Mobile:
(+91)-981-007-8958
(+91)-966-7725-932
About the Journal
International Journal of Machine Systems and Manufacturing Technology(IJMSMT) is a peer-reviewed hybrid open-access journal launched in 2023 that intends to provide its readers with swift and concrete information on the advancements in the field of
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Journal Particulars
✉ [email protected]
Latest Articles
Volume: 03, Issue: 01, Year: 2025
Manikandan Chandrasekaran, C. Syed Aalam
Keywords: Common rail direct injection, Diesel engine, Pine oil, Combustion, Emission.
Ravikant Nanwatkar, Deepak Watvisave, Aparna Bagde, Sonali Sabale, Dinesh Burande, Pravin Nitnaware
Keywords: Battery–supercapacitor, lithium-ion battery–fuel cell, fuel cell–supercapacitor, thermal management, infrastructure constraints
Special Issues
Journal Menu
Machine Learning and Artificial Intelligence in Manufacturing and Design Optimization: Theory and Applications
Abstract Submission Deadline : 30/11/2023
Manuscript Submission Deadline : 25/12/2023
Special Issue Description
This special issue focuses on the theory and applications of machine learning (ML) and artificial intelligence (AI) in manufacturing and design optimization. ML and AI have shown tremendous potential in improving the efficiency, quality, and sustainability of manufacturing processes, as well as in enabling advanced design optimization for complex systems. This special issue invites original research articles, reviews, and case studies that highlight the latest advances in ML and AI for manufacturing and design optimization. The goal of this special issue is to provide a platform for researchers, engineers, and practitioners to share their latest findings and insights into the use of ML and AI in manufacturing and design optimization, to advance the state-of-the-art in this field.
Keywords
Machine learning, Artificial intelligence, Manufacturing, Design optimization, Predictive maintenance, Quality control, Process optimization, Scheduling, Supply chain management, Logistics optimization, Design optimization, Sensor fusion, Data analytics, Additive Manufacturing, Robotics, Explainable AI, Interpretability, Sustainability, Circular economy.
Manuscript Submission information
Manuscripts should be submitted online via the manuscript Engine. Once you register on APID, click here to go to the submission form. Manuscripts can be submitted until the deadline.
All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the email address:[email protected] for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a Double-blind peer-review process. A guide for authors and other relevant information for the submission of manuscripts is available on the Instructions for Authors page.
Participating journals:
Abbrivation
Since
2023
APC
1000 $