Smart Sensors and Devices in Artificial Intelligence

Edited by
April 2021
336 pages
  • ISBN978-3-03943-669-9 (Hardback)
  • ISBN978-3-03943-670-5 (PDF)

This book is a reprint of the Special Issue Smart Sensors and Devices in Artificial Intelligence that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
microelectromechanical systems; inertial measurement unit; long short term memory recurrent neural networks; artificial intelligence; deep learning; CNN; LSTM; CO2 welding; molten pool; online monitoring; mechanical sensor; self-adaptiveness; ankle-foot exoskeleton; walking assistance; visual tracking; correlation filter; color histogram; adaptive hedge algorithm; scenario generation; autonomous vehicle; smart sensor and device; deep learning; wireless sensor networks; task assignment; distributed; reliable; energy-efficient; autonomous vehicle; audification; sensor; visualization; speech to text; text to speech; HF-OTH radar; AIS; radar tracking; data fusion; fuzzy functional dependencies; maritime surveillance; surgical robot end-effector; clamping force estimation; joint torque disturbance observer; PSO-BPNN; cable tension measurement; queue length; roadside sensor; vehicle detection; vehicle detection; adverse weather; roadside LiDAR; data processing; air pollution; atmospheric data; deep learning; IoT; LSTM; machine learning; RNN; Sensors; smart cities; traffic flow; traffic forecasting; wireless sensor network; fruit condition monitoring; artificial neural network; ethylene gas; banana ripening; unidimensional ACGAN; signal recognition; data augmentation; link establishment behaviors; DenseNet; short-wave radio station; landing gear; adaptive landing; data fusion; vehicle classification; FBG; artificial intelligence; smart sensors; outlier detection; local outlier factor; data streams; air quality monitoring; n/a; evacuation path; multi-story multi-exit building; temperature sensors; multi-time-slots planning; optimization