IntelliSense and Its Application in Engineering
Topic Information
Dear Colleagues,
Intellisense refers to the intelligent ability to sense and identify environments, objects, and people using technologies such as sensors, computer vision, and machine learning. Intelligent sensing technology has emerged as a powerful tool in engineering, enabling the development of advanced systems that can sense, process, and respond to complex environmental stimuli. Intelligent sensing can be applied to various application scenarios such as automation control, intelligent monitoring, intelligent interaction and manufacturing. With the development of these technologies, engineers can create systems that are more agile, efficient, and adaptable to changing conditions, thus adding value to engineering projects in many ways.
The aim of this topic "IntelliSensing and Its Application in Engineering" is to collect the latest research on the development and application of intelligent sensing technology in the engineering field. We welcome manuscripts on intelligent sensing-based control systems, smart sensors, data analytics, and decision-making. Additionally, we are interested in research on the application of sensing in areas such as robotics, automation, energy systems, and environmental monitoring.
We believe that this topic will promote the application of intelligent sensing technology in the engineering field, and contribute to the advancement of engineering practices. We look forward to receiving your submissions and sharing the latest research findings in this exciting field.
The topics of interest include, but are not limited to, the following:
- Remote sensing
- Wearable sensors
- Civil engineering
- Geological engineering
- Hydraulic engineering
- Smart construction
- Smart city
- Structural safety monitoring
- Environmental quality monitoring
- Artificial intelligence
- Internet of thing
- Digital twin
- Robotics
- 3D printing
Dr. Shuai Han
Dr. Yantao Yu
Topic Editors
Keywords
- sensing technology
- artificial intelligence
- engineering application
- construction
- smart sensor
- computer vision
- big data
- environment perception