Emerging electronics technologies and solutions for eco-friendly cities / / edited by Darius Andriukaitis, Peter Brida, Yongjun Pan |
Pubbl/distr/stampa | Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023] |
Descrizione fisica | 1 online resource (218 pages) |
Disciplina | 628 |
Soggetto topico | Green technology |
ISBN | 3-0365-6521-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Author Contributions -- Acknowledgments -- Conflicts of Interest -- References. |
Record Nr. | UNINA-9910647215303321 |
Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Smart Sensor Technologies for IoT |
Autore | Brida Peter |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (270 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
Internet of Things (IoT)
ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557599903321 |
Brida Peter | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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