IoT Multi Sensors
This reprint focuses on state-of-the-art technologies, the latest findings and current challenges in IoT with emphasis on healthcare, transportation, antenna design and disease detection. The included papers cover numerous topics of interest that include:IoT communication protocols;LPWAN for IoT (Si...
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Lavric, Alexandru |4 edt | |
700 | 1 | |a Anchidin, Liliana |4 edt | |
700 | 1 | |a Petrariu, Adrian I. |4 edt | |
700 | 1 | |a Lavric, Alexandru |4 oth | |
700 | 1 | |a Anchidin, Liliana |4 oth | |
700 | 1 | |a Petrariu, Adrian I. |4 oth | |
245 | 1 | 0 | |a IoT Multi Sensors |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (404 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This reprint focuses on state-of-the-art technologies, the latest findings and current challenges in IoT with emphasis on healthcare, transportation, antenna design and disease detection. The included papers cover numerous topics of interest that include:IoT communication protocols;LPWAN for IoT (Sigfox, LoRa, etc.);Antenna design for IoT applications;Large-scale, high-density IoT networks and architectures;IoT applications and multi-sensors for transportation and traffic control;IoT convergence for Smart Health;Machine-learning/deep-learning algorithms for sensing IoT;Machine-learning-based healthcare applications and disease detection using IoT architectures;Applications and examples of use. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a antenna impedance matching | ||
653 | |a artificial neural network | ||
653 | |a deep learning | ||
653 | |a input impedance (S11) | ||
653 | |a smart grid | ||
653 | |a LoRaWAN | ||
653 | |a partial discharge | ||
653 | |a predictive maintenance | ||
653 | |a scalability | ||
653 | |a Internet of Things | ||
653 | |a COVID-19 sensors | ||
653 | |a remote healthcare | ||
653 | |a telemedicine | ||
653 | |a quarantine monitoring | ||
653 | |a IoT wearable device | ||
653 | |a IoT | ||
653 | |a WSN | ||
653 | |a routing | ||
653 | |a load balancing | ||
653 | |a energy efficiency | ||
653 | |a blockchain | ||
653 | |a clustering | ||
653 | |a authentication | ||
653 | |a malicious node detection | ||
653 | |a LEACH protocol | ||
653 | |a service provisioning | ||
653 | |a interplanetary file system | ||
653 | |a security | ||
653 | |a impedance meter | ||
653 | |a RCL-bridges | ||
653 | |a portable instrument | ||
653 | |a AVR® micro-controller | ||
653 | |a low-cost | ||
653 | |a internet of things | ||
653 | |a PKCs | ||
653 | |a prime field | ||
653 | |a modular inversion | ||
653 | |a BEEA | ||
653 | |a modular addition and subtraction | ||
653 | |a SPA | ||
653 | |a ADP | ||
653 | |a FPGA | ||
653 | |a cable diagnostics | ||
653 | |a smart grid monitoring | ||
653 | |a health cable monitoring | ||
653 | |a technical cable coefficient | ||
653 | |a chicken swarm optimization | ||
653 | |a genetic algorithm | ||
653 | |a energy optimization | ||
653 | |a healthcare architectures | ||
653 | |a Health 4.0 | ||
653 | |a lightweight privacy | ||
653 | |a cryptography | ||
653 | |a sensors | ||
653 | |a smart health | ||
653 | |a surgical practice | ||
653 | |a Internet of Surgical Things | ||
653 | |a Internet of Things (IoT) | ||
653 | |a smart campus | ||
653 | |a IoT gateway | ||
653 | |a cluster | ||
653 | |a optimization | ||
653 | |a self-sovereign identity | ||
653 | |a IoMT | ||
653 | |a privacy | ||
653 | |a sewer network | ||
653 | |a wireless sensor network | ||
653 | |a combinatorial optimization | ||
653 | |a mixed integer programming | ||
653 | |a greenhouse gas | ||
653 | |a sustainable logistics | ||
653 | |a last-mile emission | ||
653 | |a supply chain | ||
653 | |a LPWANs | ||
653 | |a industrial Internet of Things | ||
653 | |a mesh networks | ||
653 | |a wide area networks | ||
653 | |a edge intelligence | ||
653 | |a healthcare and wellness | ||
653 | |a piezoelectric sensors | ||
653 | |a multi-sensor | ||
653 | |a anomaly detection | ||
653 | |a LoRa | ||
653 | |a transceiver | ||
653 | |a modules | ||
653 | |a LPWAN | ||
653 | |a IoT devices | ||
653 | |a wireless sensor networks | ||
653 | |a IoT applications | ||
653 | |a small patch antenna | ||
653 | |a SigFox | ||
653 | |a consensus mechanisms | ||
653 | |a secure data management | ||
653 | |a data storage | ||
653 | |a power consumption | ||
653 | |a Hypertext Transfer Protocol (HTTP) | ||
653 | |a Message Queue Telemetry Transport (MQTT) | ||
653 | |a long-term monitoring | ||
653 | |a NodeMCU | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7369 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100901 |7 0 |z DOAB: description of the publication |