State-of-the-Art of Embedding AI Techniques for Designing and Building IoT Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 42231
Special Issue Editors
Interests: neural networks; machine learning; deep learning; sentiment analysis; IoT systems; information systems for management; enterprise resource planning
Special Issues, Collections and Topics in MDPI journals
Interests: multi-criteria decision making problems; computational intelligence; sustainability neuro-fuzzy systems; fuzzy; rough and intuitionistic fuzzy set theory; neutrosophic theory
Special Issues, Collections and Topics in MDPI journals
Interests: information systems; artificial intelligence; IoT
Interests: IoT; information systems; smart cities; innovations in business; radical technological innovations in business and society; quantitative research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In today’s high-tech environment, the natural symbiosis between Artificial Intelligence (AI) and the Internet of Things (IoT) is enriching people’s lives. Reaching the full potential of combining these two important domains, AI and IoT, requires a significant amount of research efforts from both academia and practice in order to identify the existing gaps and to develop new architectures, solutions, and technologies.
The Internet of Things can be perceived as the nexus of physical objects (i.e., things) equipped with different electronic devices and specialized software applications that facilitates the communication between them and the human user. Embedding AI into the software of regular electronic IoT devices transforms them into “intelligent” ones. The fortunate association of the two leads to enhanced equipment for the benefits of humankind.
This Special Issue of Electronics, entitled “State-of-the-Art of Embedding AI Techniques for Designing and Building IoT Systems” intends, as a main objective, to reunite in a single volume the most recent advances in the form of original research manuscripts and also reviews on relevant topics (for this Special Issue). Therefore, topics of interest for this Special Issue can include but are not limited to:
- Intelligent electronic solutions for the applications of the future;
- IoT smart devices;
- Smart cities, smart offices, smart homes, smart electronics;
- Machine learning techniques for intelligent software development;
- Advanced features of power systems;
- Fuzzy systems;
- Neural networks.
Dr. Vasile-Daniel Pavaloaia
Prof. Dr. Dragan Pamucar
Dr. Ionela Bacain
Prof. Dr. Rodrigo Martin-Rojas
Guest Editors
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Keywords
- Intelligent electronic solutions for the applications of the future
- IoT smart devices
- Smart cities, smart offices, smart homes, smart electronics
- Machine learning techniques for intelligent software development
- Advanced features of power systems
- Fuzzy systems
- Neural networks
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