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Convergence of Intelligent Data Acquisition and Advanced Computing Systems
| Convergence of Intelligent Data Acquisition and Advanced Computing Systems |
| Autore | Stamatescu Grigore |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (189 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
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 educational robotics electric power train electric vehicle embedded systems energy efficiency FPGA-designing heterogenous embedded systems hidden faults 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 temperature and current consumption sensors time delay estimation trajectory planning unmanned aerial vehicles wireless sensor networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333503321 |
Stamatescu Grigore
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Sensor Technologies for IoT
| Smart Sensor Technologies for IoT |
| Autore | Brida Peter |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (270 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
5G
ACR bit repair (B-REP) Bluetooth classification clustering convolutional neural network data classification dead reckoning depth-based routing detection DRONET electromagnetic scanning energy-efficient failure repair Fast Reroute few-shot learning fingerprinting free space optics GNSS-RTK positioning H.264/AVC H.265/HEVC human activity recognition IMU indoor tracking Internet of Things internet of things (IoT) Internet of Things (IoT) IoT IoT system localization location-independent magnetometer MANET measurement meta learning metric learning mm-wave radars mobile localization Multicast Repair (M-REP) multilayered network model multiwavelength laser n/a optical code division multiple access (OCDMA) optical sensors particle filter point cloud position detection positioning pressure sensor QoE quality of service differentiation ReRoute smart sensor smart sensors subjective assessment traffic underwater wireless sensor network vehicle Velostat vibration sensing Wi-Fi Wi-Fi sensing wireless optical networks wireless technology WSN |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557599903321 |
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Brida Peter
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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