Artificial Intelligence and Machine Learning in Engineering Sensing Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 576
Special Issue Editor
Interests: mechatronics; bio-inspired robotics and intelligent systems; AI and deep learning; deep reinforcement learning; AI and deep learning applications in engineering and biomedicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming engineering sensing by enabling more sophisticated data analysis, predictive capabilities, and automated decision-making, leading to improved efficiency, reliability, and safety in various industrial applications. The potential areas of using AI and ML in engineering sensing include data pre-processing, sensor calibration and compensation, signal interpretation, and process optimization.
This Special Issue is aimed at publishing articles representing state-of-the-art and future trends of developing AI and ML in engineering sensing applications that include, but are not limited to, machinery and structural health monitoring, sensor networks for environmental monitoring, and autonomous vehicles. Potential authors are invited to contribute in the form of original research, theoretical developments, experimental studies, and reviews of current status and future trends in the area.
Dr. Biswanath Samanta
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence (AI) and machine learning
- data cleaning and preprocessing
- anamoly detection
- process optimization
- sensor calibration and compensation
- signal interpretation
- predictive maintenance
- machinery and structural health monitoring
- environmental monitoring
- quality control
- autonomous vehicles
- edge computing
- federated learning
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