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 | Viewed by 183
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: cyber and strategic deterrence; flow of information and disinformation in irregular warfare; flow of cyberattacks and network resiliency in cyber warfare; flow of infectious diseases in biological warfare and resilience of supply chains
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
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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
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