The Sustainable Machine Intelligence Journal (SMIJ) is a premier scientific publication dedicated to the exploration and advancement of sustainable approaches in the field of machine intelligence. SMIJ provides a platform for researchers, engineers, and practitioners to share innovative research findings, methodologies, and applications that integrate machine intelligence with sustainable practices. By bridging the gap between machine intelligence and sustainability, SMIJ aims to foster a deeper understanding of how intelligent technologies can contribute to environmental, social, and economic sustainability. The journal showcases cutting-edge research and promotes interdisciplinary collaboration, making it an indispensable resource for academics, industry professionals, and policymakers striving for a more sustainable future through the power of intelligent systems.
Publishing Mode and Access Fees
There are no article processing or publishing charges.
Sustainable Machine Intelligence Journal (SMIJ) is a Gold Open Access journal; online readers don't have to pay any fees.
Director-in-Charge
Seyyed Ahmad Edalatpanah
Researcher profiles: Email |ORCID | Scholar | Scopus|
Affiliation: Associate Professor, Ayandegan Institute of Higher Education, Tonekabon, Iran.
Research Interests: Decision Measurement, Operations Management, Computational Intelligence, Numerical Computations
Editors-in-Chief
Weiping Ding
Researcher profiles: Email | Scholar | Scopus| Website |
Affiliation: Deputy Dean of School of Information Science and Technology, Nantong University, China.
Research Interests: Granular Data Mining, Deep Neural Networks, Machine Learning for Human Centred Computing, Big Data
Nour Moustafa
Researcher profiles: Email|ORCID|Scopus|
Affiliation: School of Systems & Computing, University of New South Wales at ADFA, Canberra, ACT 2612, Australia.
Research Interests: Cyber Security, IoT Secuirty, AI Secuirty, Intrusion Detection, Testbed and Dataset Security
Adam Slowik
Researcher profiles: Email|ORCID|Scopus|Scholar|
Affiliation: Department of Electronics and Computer Science, Koszalin University of Technology, Śniadeckich 2 Street, Koszalin, 75-452, Poland.
Research Interests: Computer Science, Artificial Intelligence, Soft Computing, Electronics, Digital Circuits.
Current Issue
Vol. 9 (2024): Sustainable Machine Intelligence
Published: 01-10-2024
Original Article
Sustainable Machine Intelligence Journal (SMIJ) publishes high-quality scientific papers that significantly contribute to the field of machine intelligence and its applications real-world scenarios. The material published is of high quality and relevance, written in a manner that makes it accessible to all of this wide-ranging readership. Preference will be given to papers studying machine intelligence solutions and implications on sustainability within computer science.
Aims and Scope: The principal aim of the journal is to bring together the latest research and development in various fields of sustainable machine intelligence. We would like to highlight those papers should refer to aims and scope, but they are not limited to.
Publication Frequency: This journal is published quarterly.
Open Access: This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.
The acceptance rate of SMIJ is 16% of the more than 143 major manuscripts it receives annually. In 2023, the median time for an initial editorial decision for submitted manuscripts was 5 days; the median time from submission to acceptance for all articles was 15 weeks and 9 days from acceptance to online publication.
Publisher:
- Publisher's Name: Sciences Force LLC
- Publisher's Address: 393 Piaget Ave PMB 110 Clifton, New Jersey 07011, United States
- Tel: +1 (551) 231-3395
- Email: smij@sciencesforce.com