Developing "Smartness" in Emerging Environments and Applications with Focus on the Internet of Things (IoT)
This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data an...
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Format: | Electronic Book Chapter |
Language: | English |
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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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072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
100 | 1 | |a Mehmood, Rashid |4 edt | |
700 | 1 | |a Corchado, Juan M. |4 edt | |
700 | 1 | |a Yigitcanlar, Tan |4 edt | |
700 | 1 | |a Mehmood, Rashid |4 oth | |
700 | 1 | |a Corchado, Juan M. |4 oth | |
700 | 1 | |a Yigitcanlar, Tan |4 oth | |
245 | 1 | 0 | |a Developing "Smartness" in Emerging Environments and Applications with Focus on the Internet of Things (IoT) |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (384 p.) | ||
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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 focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more. | ||
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 artificial intelligence (AI) | ||
653 | |a artificially intelligent city | ||
653 | |a artificially intelligence commons | ||
653 | |a smart city | ||
653 | |a smart urban technology | ||
653 | |a urban informatics | ||
653 | |a sustainable urban development | ||
653 | |a climate change | ||
653 | |a pandemics | ||
653 | |a natural disasters | ||
653 | |a sensor city | ||
653 | |a City 4.0 | ||
653 | |a smart urbanism | ||
653 | |a smart governance | ||
653 | |a disruptive urban transition | ||
653 | |a Internet-of-Things (IoT) | ||
653 | |a technology giants | ||
653 | |a sensors | ||
653 | |a transit | ||
653 | |a bus | ||
653 | |a transfer | ||
653 | |a smart card | ||
653 | |a spatial analysis | ||
653 | |a mode choice | ||
653 | |a internet of everything (IoE) | ||
653 | |a 6th generation (6G) networks | ||
653 | |a artificial intelligence | ||
653 | |a Distributed AI as a Service (DAIaaS) | ||
653 | |a fog computing | ||
653 | |a edge computing | ||
653 | |a cloud computing | ||
653 | |a smart airport | ||
653 | |a smart districts | ||
653 | |a PPE | ||
653 | |a OHS | ||
653 | |a risk detection | ||
653 | |a naive Bayes | ||
653 | |a support vector machine | ||
653 | |a convolutional neural network | ||
653 | |a deep learning | ||
653 | |a microcontroller | ||
653 | |a edge-fog-cloud computing | ||
653 | |a Internet of Things | ||
653 | |a robotics | ||
653 | |a autonomous driving | ||
653 | |a image registration | ||
653 | |a smart sensor | ||
653 | |a real time big data | ||
653 | |a land-use | ||
653 | |a air quality | ||
653 | |a particulate matter (PM10 PM2.5) | ||
653 | |a Intelligent Transportation Systems | ||
653 | |a functional requirements | ||
653 | |a machine learning | ||
653 | |a model actionability | ||
653 | |a model evaluation | ||
653 | |a cloud server | ||
653 | |a customized sensor node | ||
653 | |a customized gateway | ||
653 | |a FLoRa simulation | ||
653 | |a LoRa range radio | ||
653 | |a solid waste management | ||
653 | |a smart cities | ||
653 | |a big data | ||
653 | |a event detection | ||
653 | |a road traffic | ||
653 | |a distributed machine learning | ||
653 | |a automatic labeling | ||
653 | |a social media | ||
653 | |a data analytics | ||
653 | |a social media analytics | ||
653 | |a Arabic tweets | ||
653 | |a 3D microstructure reconstruction | ||
653 | |a permeable pavement | ||
653 | |a generative adversarial networks | ||
653 | |a tiny AI | ||
653 | |a tiny ML | ||
653 | |a distributed AI as a service (DAIaaS) | ||
653 | |a skin disease diagnosis | ||
653 | |a healthcare | ||
653 | |a smart societies | ||
653 | |a smart healthcare | ||
653 | |a reference architecture | ||
653 | |a TensorFlow | ||
653 | |a visually impaired | ||
653 | |a smart mobility | ||
653 | |a LiDAR | ||
653 | |a ultrasonic | ||
653 | |a obstacle detection | ||
653 | |a obstacle recognition | ||
653 | |a assistive tools | ||
653 | |a green computing | ||
653 | |a sustainability | ||
653 | |a Arduino Uno | ||
653 | |a smart app | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7131 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100038 |7 0 |z DOAB: description of the publication |