Deep Learning-Empowered Sustainable Development: Challenges, Methods, and Prospects

Dear Colleagues,

Sustainable development characterizes an international roadmap for increasing the competitive advantages of developing countries in improving different facets of quality of life. Sustainable development has grown significantly in importance for industries and businesses in recent years. Numerous studies have covered ways in which industries can meet sustainable development standards. Additionally, a variety of methods and instruments have been developed and widely used by researchers and decision makers to address these complicated issues. Deep learning, as a subfield of machine learning (ML), is a data-driven approach gaining popularity due to its ability to improve and automate decision making in a broad range of daily applications. Experts predict that the development of deep learning approaches will have an impact on practically every element of daily life for humans in the near future. Therefore, deep learning is a driving force of sustainable development at both national and international scales.

This Special Issue primarily seeks to compile original research and survey studies that illustrate the potential of deep learning to empower the sustainability of the digital world in a variety of disciplinary contexts. Submissions should stress cutting-edge and innovative ideas and techniques.

This issue covers, but is not limited to, the following topics:

• Deep learning for sustainable industrialization;
• Deep learning for sustainable waste management;
• Deep learning for sustainable economic developments;
• Deep learning for developing sustainable food systems;
• Deep learning for sustainable healthcare systems;
• Deep learning for sustainable transportation system;
• Deep learning for sustainable Internet of Things (IoT);
• Sustainability of artificial intelligence systems.

Dr. Mohamed Abdel-Basset
Dr. ‪Ripon Kumar Chakrabortty
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, 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 Editorial Office 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 single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• deep learning
• sustainability
• artificial Intelligence
• waste management
• food systems
• healthcare
• Internet of Things