Artificial Intelligence and Machine Learning for Advanced Sensing Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 1869
Special Issue Editor
Interests: adaptive control; fuzzy control; applications of computer visions; intelligent control; application of artificial intelligence to the design of power electronic systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensing technologies, artificial intelligence, and machine learning are popular research areas in the field of science and engineering. Intelligent control is a control technique which uses various artificial intelligence (AI) and intelligent computing approaches to solve complex control problems under different operating conditions and environments. These approaches utilize some AI technologies such as the neural network, machine learning, reinforcement learning, fuzzy and neuro-fuzzy systems and evolutionary computation method, etc. All these intelligent computing approaches can help us to find an optimal control solution for a linear or nonlinear system with changing parameters, operating conditions and outside disturbances.
With the rapid development of sensor technology, nowadays, sensing systems can give optimal performances for changing parameters and environments. By using advance sensing technologies, various environmental physical parameters can be measured by different types of sensors. After collecting the signals from the sensors, signal processing or data analysis can be carried out. Digital images, videos and audio signals are among the most common forms of collected data. Computer vision algorithms and speech processing algorithms could be applied to the collected data so that knowledge of the data could be extracted. Computer vision involves methods for acquiring, processing, analyzing and understanding digital images, and the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information. Artificial intelligence, neural network and data-mining algorithms could be applied to the signals obtained from sensing devices and knowledge or estimated parameters could be obtained. The results could be used for system control or system states monitoring. Finally, the rapid development of large language models can also be applied in advanced sensing systems. In this Special Issue, we will also explore the advanced applications of LLM in sensing systems.
This Special Issue calls for high-quality, up-to-date research related innovative sensor technologies for sensing technology in artificial intelligence and intelligent control. In particular, the Special Issue is going to be a sharing platform for the most recent achievements and developments in sensing technology and intelligent control. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this Special Issue.
We would like to invite authors to submit articles related to the utilization of new sensor technology, artificial intelligence and machine learning for the advanced intelligent control system and parameter estimations to this Special Issue.
Prof. Dr. Wai Lun Lo
Guest Editor
Manuscript Submission Information
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Keywords
- advanced sensor technology
- computer vision
- artificial intelligence
- machine learning
- image processing
- speech recognition
- pattern recognition
- knowledge extraction from sensing data
- intelligent control system
- applications of AI and machine learning
- intelligent control system
- model parameter estimations
- artificial neural network design
- fuzzy and neuro-fuzzy systems for control
- evolutionary computation methods for control and parameter estimation
- machine learning for science and engineering problems
- reinforcement learning for control and parameter estimation
- applications of large language models for advanced sensing technology
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