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Developing “Smartness” in Emerging Environments and Applications with Focus on the Internet of Things (IoT)
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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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Keywords
- 3D microstructure reconstruction
- 6th generation (6G) networks
- Air quality
- Arabic tweets
- Arduino Uno
- artificial intelligence
- artificial intelligence (AI)
- artificially intelligence commons
- artificially intelligent city
- assistive tools
- automatic labeling
- Autonomous driving
- big data
- Bus
- City 4.0
- Climate Change
- Cloud computing
- cloud server
- convolutional neural network
- customized gateway
- customized sensor node
- Data Analytics
- deep learning
- disruptive urban transition
- Distributed AI as a Service (DAIaaS)
- distributed machine learning
- edge computing
- edge-fog-cloud computing
- event detection
- FLoRa simulation
- fog computing
- functional requirements
- generative adversarial networks
- green computing
- Healthcare
- History of engineering & technology
- image registration
- intelligent transportation systems
- internet of everything (IoE)
- Internet of Things
- Internet-of-Things (IoT)
- land-use
- LiDAR
- LoRa range radio
- Machine learning
- microcontroller
- mode choice
- model actionability
- model evaluation
- n/a
- naïve Bayes
- Natural disasters
- obstacle detection
- obstacle recognition
- OHS
- pandemics
- particulate matter (PM10 PM2.5)
- permeable pavement
- PPE
- real time big data
- Reference Architecture
- risk detection
- Road Traffic
- robotics
- sensor city
- sensors
- skin disease diagnosis
- smart airport
- smart app
- smart card
- Smart cities
- Smart city
- smart districts
- Smart Governance
- smart healthcare
- smart mobility
- smart sensor
- smart societies
- smart urban technology
- smart urbanism
- Social media
- social media analytics
- solid waste management
- Spatial Analysis
- support vector machine
- sustainability
- sustainable urban development
- technology giants
- Technology, engineering, agriculture
- Technology: general issues
- TensorFlow
- tiny AI
- tiny ML
- transfer
- transit
- ultrasonic
- Urban Informatics
- visually impaired
Links
DOI: 10.3390/books978-3-0365-6184-4Editions