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230515 ||| eng |
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|a 9783036561844
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|a books978-3-0365-6184-4
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|a 9783036561837
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| 100 |
1 |
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|a Mehmood, Rashid
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| 245 |
0 |
0 |
|a Developing "Smartness" in Emerging Environments and Applications with Focus on the Internet of Things (IoT)
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (384 p.)
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| 653 |
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|a machine learning
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| 653 |
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|a naive Bayes
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|a distributed machine learning
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|a air quality
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| 653 |
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|a Internet-of-Things (IoT)
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| 653 |
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|a microcontroller
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| 653 |
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|a artificially intelligence commons
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| 653 |
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|a smart card
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| 653 |
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|a mode choice
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| 653 |
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|a ultrasonic
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| 653 |
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|a big data
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| 653 |
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|a deep learning
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| 653 |
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|a sensor city
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a image registration
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| 653 |
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|a urban informatics
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| 653 |
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|a smart urban technology
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| 653 |
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|a smart societies
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| 653 |
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|a green computing
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a land-use
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| 653 |
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|a natural disasters
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| 653 |
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|a LoRa range radio
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| 653 |
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|a smart cities
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| 653 |
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|a sustainable urban development
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| 653 |
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|a Intelligent Transportation Systems
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| 653 |
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|a Distributed AI as a Service (DAIaaS)
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| 653 |
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|a social media analytics
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| 653 |
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|a risk detection
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| 653 |
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|a smart healthcare
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| 653 |
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|a model evaluation
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| 653 |
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|a distributed AI as a service (DAIaaS)
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| 653 |
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|a bus
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| 653 |
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|a cloud server
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| 653 |
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|a support vector machine
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| 653 |
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|a FLoRa simulation
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| 653 |
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|a smart districts
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| 653 |
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|a disruptive urban transition
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| 653 |
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|a customized sensor node
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| 653 |
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|a particulate matter (PM10 PM2.5)
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| 653 |
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|a tiny AI
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| 653 |
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|a skin disease diagnosis
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| 653 |
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|a edge computing
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| 653 |
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|a healthcare
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| 653 |
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|a climate change
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| 653 |
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|a OHS
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| 653 |
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|a robotics
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| 653 |
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|a internet of everything (IoE)
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| 653 |
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|a smart urbanism
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| 653 |
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|a real time big data
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| 653 |
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|a customized gateway
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| 653 |
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|a data analytics
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| 653 |
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|a event detection
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| 653 |
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|a visually impaired
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| 653 |
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|a assistive tools
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| 653 |
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|a reference architecture
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| 653 |
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|a obstacle recognition
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| 653 |
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|a autonomous driving
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| 653 |
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|a n/a
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| 653 |
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|a smart mobility
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| 653 |
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|a Arabic tweets
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| 653 |
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|a transfer
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| 653 |
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|a Arduino Uno
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| 653 |
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|a smart sensor
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| 653 |
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|a generative adversarial networks
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| 653 |
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|a artificially intelligent city
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| 653 |
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|a PPE
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| 653 |
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|a edge-fog-cloud computing
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| 653 |
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|a model actionability
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| 653 |
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|a automatic labeling
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| 653 |
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|a social media
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| 653 |
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|a smart city
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| 653 |
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|a smart airport
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| 653 |
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|a 6th generation (6G) networks
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| 653 |
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|a Internet of Things
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| 653 |
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|a fog computing
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| 653 |
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|a transit
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| 653 |
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|a solid waste management
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| 653 |
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|a tiny ML
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| 653 |
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|a permeable pavement
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| 653 |
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|a LiDAR
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| 653 |
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|a pandemics
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| 653 |
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|a smart governance
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| 653 |
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|a cloud computing
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| 653 |
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|a artificial intelligence
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| 653 |
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|a sensors
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| 653 |
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|a functional requirements
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| 653 |
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|a sustainability
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| 653 |
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|a City 4.0
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| 653 |
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|a artificial intelligence (AI)
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| 653 |
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|a 3D microstructure reconstruction
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| 653 |
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|a convolutional neural network
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| 653 |
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|a spatial analysis
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| 653 |
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|a obstacle detection
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| 653 |
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|a TensorFlow
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| 653 |
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|a road traffic
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| 653 |
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|a smart app
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| 653 |
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|a technology giants
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| 700 |
1 |
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|a Corchado, Juan M.
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| 700 |
1 |
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|a Yigitcanlar, Tan
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| 700 |
1 |
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|a Mehmood, Rashid
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3390/books978-3-0365-6184-4
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/7131
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100038
|z DOAB: description of the publication
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|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.
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