AI for Sustainable Real-World Applications
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 October 2024 | Viewed by 1028
Special Issue Editors
Interests: AI-based clinical decision making; medical knowledge engineering; patient safety; human–machine interaction; wearable and intelligent devices and instruments; AI for addressing united nations sustainable development goals; eSystem engineering; air and water pollution
Special Issues, Collections and Topics in MDPI journals
Interests: AI in socially significant domains; ethics of AI
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI), Intelligent Sensors, Robotics and more recently Industry 4.0 are research areas and applications aligned to benefit the research community and society in various domains. Sensors emit a tremendous amount of data (aka big data) which can be captured and analysed using different AI and Machine Learning (ML) tools and techniques. Extensive research has been developed in this area, ranging from theoretical foundations and principles, to practical applications in diverse context including medical, industry, environment, finance, education, to name just a few.
The aim of this Special Issue is allowing researchers to communicate their high-quality and original ideas by presenting and publishing innovative advances in Industry 4.0, computational intelligence and the Internet of Everything (IoE) and their applications.
This special issue explores the convergence of Industry 4.0, AI, data science, and their applications in real-world application, providing a background to problem domains, considering the progress so far, assessing the potential of such approaches, and exploring possible future directions. We aim to increase the understanding and use of AI techniques in tackling the real-world problems. We welcome contributions that deal with all aspects of the scientific foundations, theories, techniques and applications of computing, data and analytics, including, but not limited to:
- Industry 4.0 applications in health and medicine and other social domains
- Advances in Image and Signal Processing
- Computational Intelligence Technology for sustainable real-world applications (Healthcare, Medicine, Education, Business, Culture, etc.)
- Cognitive Computing and Emotional Intelligence in sustainable real-world applications
- Computational Intelligence Technology in Data mining, Data Integration and Big Data Analysis for sustainable real-world applications
- Predictive Models and Analytics Using Artificial Intelligence
We look forward to receiving your contributions.
Prof. Dr. Dhiya Al-Jumeily
Prof. Dr. Jamila Mustafina
Dr. Manoj Jayabalan
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.
Keywords
- AI applications in social domains
- machine learning
- big data
- Internet of Things (IoT)
- Industry 4.0
