Smart Sensors and Devices in Artificial Intelligence

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 fiel...

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Bibliographic Details
Other Authors: Zhang, Dan (Editor), Duan, Xuechao (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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245 1 0 |a Smart Sensors and Devices in Artificial Intelligence 
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520 |a 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 
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650 7 |a History of engineering & technology  |2 bicssc 
653 |a microelectromechanical systems 
653 |a inertial measurement unit 
653 |a long short term memory recurrent neural networks 
653 |a artificial intelligence 
653 |a deep learning 
653 |a CNN 
653 |a LSTM 
653 |a CO2 welding 
653 |a molten pool 
653 |a online monitoring 
653 |a mechanical sensor 
653 |a self-adaptiveness 
653 |a ankle-foot exoskeleton 
653 |a walking assistance 
653 |a visual tracking 
653 |a correlation filter 
653 |a color histogram 
653 |a adaptive hedge algorithm 
653 |a scenario generation 
653 |a autonomous vehicle 
653 |a smart sensor and device 
653 |a wireless sensor networks 
653 |a task assignment 
653 |a distributed 
653 |a reliable 
653 |a energy-efficient 
653 |a audification 
653 |a sensor 
653 |a visualization 
653 |a speech to text 
653 |a text to speech 
653 |a HF-OTH radar 
653 |a AIS 
653 |a radar tracking 
653 |a data fusion 
653 |a fuzzy functional dependencies 
653 |a maritime surveillance 
653 |a surgical robot end-effector 
653 |a clamping force estimation 
653 |a joint torque disturbance observer 
653 |a PSO-BPNN 
653 |a cable tension measurement 
653 |a queue length 
653 |a roadside sensor 
653 |a vehicle detection 
653 |a adverse weather 
653 |a roadside LiDAR 
653 |a data processing 
653 |a air pollution 
653 |a atmospheric data 
653 |a IoT 
653 |a machine learning 
653 |a RNN 
653 |a Sensors 
653 |a smart cities 
653 |a traffic flow 
653 |a traffic forecasting 
653 |a wireless sensor network 
653 |a fruit condition monitoring 
653 |a artificial neural network 
653 |a ethylene gas 
653 |a banana ripening 
653 |a unidimensional ACGAN 
653 |a signal recognition 
653 |a data augmentation 
653 |a link establishment behaviors 
653 |a DenseNet 
653 |a short-wave radio station 
653 |a landing gear 
653 |a adaptive landing 
653 |a vehicle classification 
653 |a FBG 
653 |a smart sensors 
653 |a outlier detection 
653 |a local outlier factor 
653 |a data streams 
653 |a air quality monitoring 
653 |a n/a 
653 |a evacuation path 
653 |a multi-story multi-exit building 
653 |a temperature sensors 
653 |a multi-time-slots planning 
653 |a optimization 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/68552  |7 0  |z DOAB: description of the publication