The Sustainable Machine Intelligence Journal (SMIJ) is an international, double-blind peer-reviewed, open-access journal published quarterly, both online and in print. The journal is committed to advancing research in sustainable machine intelligence, integrating innovative approaches in artificial intelligence, machine learning, and intelligent systems with a focus on environmental, social, and economic sustainability.
SMIJ explores emerging concepts such as energy-efficient algorithms, ethical AI frameworks, resource-aware computational models, and sustainable decision-making systems, emphasizing their real-world applications in diverse domains. It also features studies in advanced areas like green machine learning, sustainable data processing, and intelligent optimization methodologies, fostering innovation in developing responsible and future-ready intelligent systems.
The journal serves as a platform for publishing high-quality research addressing challenges in creating intelligent systems that balance performance with sustainability. It promotes advancements in areas such as sustainable AI-driven optimization, eco-friendly computational models, intelligent data management, and green decision support systems, aiming to solve critical problems in modern technology and society.
SMIJ seeks to encourage interdisciplinary collaboration and innovation, making it a vital resource for academics, industry experts, and policymakers striving for a sustainable future powered by intelligent technologies.
SMIJ was established in 2022, and the first issue was published in October 2022. The journal publishes articles in English.
For a detailed overview of the journal’s scope and focus area, please refer to Aims and Scope homepage.
page.Editorial Timeline and Acceptance Rate
At SMIJ, we are committed to ensuring a fair, transparent, and timely peer review process, in accordance with international publishing standards and the guidelines set by the Committee on Publication Ethics (COPE).
We strive to balance speed with quality by providing the following editorial timeline:
- Desk Rejection Notification (for out-of-scope or non-compliant submissions): within 5 business days.
- First Editorial Decision (including peer review feedback): within approximately 9–10 weeks of submission.
- Final Decision and Acceptance (after revisions, if applicable): typically within 15–16 weeks.
- Online Publication (for accepted manuscripts): within 5 working days after final acceptance.
We currently maintain an acceptance rate of approximately 16%, reflecting our focus on publishing high-quality and original contributions that align with the journal’s aims and scope.
Authors are encouraged to check the status of their submission through our online system and may contact the editorial office if delays exceed the expected timelines.
Current Issue: Volume 11, Issue 1 (2025)
Evaluation of Challenges in the Open Data Services Industry Under Uncertainty: A Methodology Based on Artificial Intelligence and Digital Transformation
Eman Sayed and Gawaher Soliman Hussein
An Attention-Based Deep Learning Model for Remaining Useful Life Prediction of Aero-Engine
Ahmed Darwish, Karam M. Sallam, and Ibrahim Alrashdi
Maxwell’s Equations Optimizer (MEO): A New Physics based Metaheuristic Optimization Algorithm for Solving Optimization Problems
Samia Mandour, Abduallah Gamal, Ahmed Sleem, Mohamed Belal, and Nebojsa Bacanin
An Efficient Phishing Detection Framework Based on Hybrid Machine Learning Models
Mohamed Elkholy, Mohamed Sabry, and Hussam Elbehiery
Beyond the Horizon: A Comprehensive Study on the Evolution and Application of Machine Learning Techniques in Diverse Fields
Rabia Aslam Khan and Hafiz Burhan Ul Haq
Deep Learning-Based Detection of Lumpy Skin Disease in Livestock using CNNs
Walid Abdullah, Sudeep Tanwar, and Mohamed Abouhawwash
