New Trends in Artificial Intelligence of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 6934
Special Issue Editors
Interests: AIoT; artificial intelligence pervasive computing; cyber physical system; robotics; urban sensing brain computer interface; human computer interface
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics; internet of things
Special Issue Information
Dear Colleagues,
With the development and integration of artificial intelligence and Internet of Things technology, the new era of Artificial Intelligence of Things has made tremendous progress. Artificial Intelligence of Things is being deployed in many applications, such as indoor positioning and navigation, anonymous environmental monitoring, human–machine interaction sensing, and even fine-grained activity and gesture recognition, providing intelligent advanced services to improve quality of life. To achieve the Artificial Intelligence of Things, various intelligent sensors, multi-process information fusion technologies, and other advanced artificial intelligence and collaborative methods are required. Intelligent sensors, as the foundation of Artificial Intelligence of Things, are developing towards high precision, high sensitivity, miniaturization, micro-miniaturization, and intelligence. Many researchers are designing intelligent sensors based on the concept of integrating sensing, storage, and computing using new materials. Information fusion, as a promising technology in the field of Artificial Intelligence of Things, is constantly developing and providing better data support and a decision-making basis for the application of artificial intelligence. In addition, information fusion is also promoting the development of other research fields, including intelligent unmanned systems, mobile computing, etc. Recently, many researchers have tried to obtain better information and fuse sensing data based on signal processing and estimation theory, statistical information theory, decision theory, etc. With this progress, the application of intelligent information fusion technology in intelligent sensing and intelligent environments has been extended, such as in human–machine interaction sensing, intrusion detection, and autonomous environmental monitoring, to improve human quality of life.
This Special Issue aims to solicit original research articles from researchers in the academic and industrial communities to discuss their contributions to intelligent sensors, information fusion, and their applications in intelligent sensing. In addition, this issue encourages authors to discuss new trends in Artificial Intelligence of Things. This Special Issue will allow readers to identify the latest developments and applications in intelligent sensors and information fusion. Topics of interests include (but are not limited to) the following categories:
- Smart/multi-functional sensor design and testing
- Novel information fusion methods for smart sensing
- The security and privacy for sensing network
- Fairness, equity, and transparency issues in IoT and CPS
- Machine learning and deep learning on sensor data
- Computer vision for resource-constrained and mobile platforms
- Modeling of big data from multi-sensor systems
- Artificial intelligence technology in multi-sensor information fusion
- Data fusion based on artificial intelligence
- Integration of fuzzy logic and neural network interfaces in distributed sensors
- Protocols and standards for smart sensing
- Data acquisition and storage in collaborative sensors
- Advanced Intelligent sensing principles for multi-sensor coupling
- Resource-efficient machine learning and AI for mobile devices
- Systems for location and context sensing and awareness
- Mobile computing support for pervasive computing
- Novel applications of sensing technologies in cyber-physical systems
- Data-drive-based machine learning for sensor modeling and sensor data processing
Dr. Xinlei Chen
Prof. Dr. Shuai Wang
Dr. Yuezu Lv
Guest Editors
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