• The Sustainable Machine Intelligence Journal (SMIJ) stands as a distinguished platform within the esteemed portfolio of Sciences Force Publisher, dedicated to advancing the frontiers of sustainable machine intelligence. Our commitment is to provide a comprehensive platform for researchers, authors, and reviewers to engage in meaningful contributions to the scientific community.

Open Access Policy: SMIJ follows an open-access policy, rooted in the belief that unrestricted access to scientific knowledge is essential. We strive to eliminate barriers to information, encouraging the global exchange of ideas. SMIJ ensures that its published research is freely accessible to researchers, practitioners, and the public, fostering a culture of openness and collaboration.

Focus and Scope: SMIJ covers a broad spectrum of topics within the realm of sustainable machine intelligence. Our scope includes, but is not limited to, sustainable machine learning algorithms, eco-friendly computing, ethical considerations in sustainable AI, applications of machine intelligence in environmental conservation, and the societal impact of sustainable AI. We welcome interdisciplinary research that integrates sustainable machine intelligence with other scientific domains, fostering collaboration and cross-disciplinary innovation.

Copyright Notice: Authors publishing in SMIJ retain the copyright to their work. Operating under a Creative Commons Attribution License (CC BY 4.0), this allows authors to freely share, adapt, and build upon their published work while ensuring proper attribution. SMIJ is committed to empowering authors and facilitating the dissemination of knowledge.

Sponsorship Disclosure: SMIJ operates with transparency and discloses any sponsorship or funding received for its activities. While the journal is committed to editorial independence, we acknowledge and appreciate the support of sponsors who share our commitment to advancing scientific knowledge. SMIJ is proudly sponsored by Sciences Force Publisher, a reputable publishing house committed to supporting high-quality research and advancing the dissemination of knowledge.

Privacy Statement: SMIJ values the privacy of its contributors and readers. Any personal information collected during the submission or review process is handled with the utmost confidentiality and in accordance with our privacy policy. We are committed to maintaining the security and privacy of all individuals involved in the publication process. This commitment extends to fostering a secure and trustworthy environment for scholarly interactions within the sustainable machine intelligence community.