Trends and Prospects in Applied Machine Learning for Smart Technologies
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 March 2025
Special Issue Editors
Interests: applied machine learning; AI for healthcare; cybersecurity; smart technologies; green AI; machine learning systems; neural network modelling; predictive coding models; artificial intelligence; computer vision; signal; image; and video processing; pattern recognition; bio-inspired algorithms; Internet of Things
Interests: network emergence and resilience
Special Issues, Collections and Topics in MDPI journals
Interests: assistive robotics; human-robot interaction; human-robot collaboration; robot learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on exploring applied machine learning and artificial intelligence in developing and enhancing smart technologies, seeking to capture the essence of these advancements and provide a comprehensive platform for disseminating cutting-edge research, innovative applications, and insightful reviews in the realm of smart technologies.
The scope of this Special Issue is broad yet focused on practical and theoretical advancements in applied machine learning for smart technologies. It includes, but is not limited to, smart homes, smart cities, smart health, smart transportation, smart security, and smart green infrastructure.
While existing studies often focus on specific domains, this issue will combine research from diverse fields, offering a unified view of how machine learning transforms various smart technologies. By integrating insights from different domains, this collection will highlight common challenges, shared methodologies, and cross-domain applications.
The Special Issue will present current advancements, identify emerging trends, and predict future directions in the field. This forward-looking approach will help researchers and practitioners stay ahead of the curve and prepare for upcoming developments.
In addition to theoretical research, it will include practical case studies that demonstrate the real-world impact of machine learning on smart technologies. These case studies will provide valuable insights into AI-driven systems' implementation, challenges, and benefits.
The emphasis on green AI and sustainable practices will address a relatively underexplored area in the literature. By focusing on AI's environmental impact and promoting energy-efficient algorithms, this issue will contribute to the growing body of research on sustainable technology.
Integrating cybersecurity and ethical considerations in applying machine learning to smart technologies will provide a balanced perspective. This is crucial for ensuring AI systems' safe, secure, and ethical deployment in various domains.
Dr. Nelly Elsayed
Dr. Jacques Bou Abdo
Dr. Maria Kyrarini
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. Electronics 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
- machine leaning
- artificial intelligence
- smart home
- smart city
- smart healthcare
- smart technology
- smart business
- supply chain
- cybersecurity
- green AI
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
