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Convergence of Intelligent Data Acquisition and Advanced Computing Systems
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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.
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Keywords
- artificial neural network
- atrous spatial pyramid pooling
- attention gate
- Automotive
- black box modeling
- clock signal
- CNN (Convolutional neural networks)
- component
- consumed and dissipated power
- current
- Data Acquisition
- data classification
- data consensus
- deep learning
- deep sparse auto-encoders
- Delay
- demand response
- Detection
- distributed systems
- Economics, finance, business & management
- Educational Robotics
- electric power train
- electric vehicle
- embedded systems
- Energy Efficiency
- Energy industries & utilities
- FPGA-designing
- heterogenous embedded systems
- hidden faults
- Industry & industrial studies
- intelligent charging
- intelligent data processing
- Internet of Things
- linear model
- Linear Programming
- logical and power-oriented checkability
- measurements
- medical diagnosis
- n/a
- ODE Solver
- OpenCL
- optimization
- parallel/multi-core computing
- Parareal
- pavement defects
- power train
- precision agriculture
- PSO algorithm
- relevant data extraction
- residual connection
- ROS
- safety-related system
- sensing systems
- sensor
- sensors
- signals
- smart building
- Smart grid
- smart parking
- stem
- System identification
- Technology, engineering, agriculture
- Technology: general issues
- temperature and current consumption sensors
- time delay estimation
- trajectory planning
- unmanned aerial vehicles
- Wireless sensor networks
Links
DOI: 10.3390/books978-3-0365-1655-4Editions