TY  - GEN
T1  - Developing “Smartness” in Emerging Environments and Applications with Focus on the Internet of Things (IoT)
A2  - Mehmood, Rashid
LA  - eng
PB  - MDPI - Multidisciplinary Digital Publishing Institute
YR  - 2023
UL  - https://ebooks.jgu.edu.in/Record/doab-20.500.12854-100038
AB  - 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.
SN  - 9783036561837
SN  - 9783036561844
KW  - artificial intelligence (AI)
KW  - artificially intelligent city
KW  - artificially intelligence commons
KW  - smart city
KW  - smart urban technology
KW  - urban informatics
KW  - sustainable urban development
KW  - climate change
KW  - pandemics
KW  - natural disasters
KW  - sensor city
KW  - City 4.0
KW  - smart urbanism
KW  - smart governance
KW  - disruptive urban transition
KW  - Internet-of-Things (IoT)
KW  - technology giants
KW  - sensors
KW  - transit
KW  - bus
KW  - transfer
KW  - smart card
KW  - spatial analysis
KW  - mode choice
KW  - internet of everything (IoE)
KW  - 6th generation (6G) networks
KW  - artificial intelligence
KW  - Distributed AI as a Service (DAIaaS)
KW  - fog computing
KW  - edge computing
KW  - cloud computing
KW  - smart airport
KW  - smart districts
KW  - PPE
KW  - OHS
KW  - risk detection
KW  - naive Bayes
KW  - support vector machine
KW  - convolutional neural network
KW  - deep learning
KW  - microcontroller
KW  - edge-fog-cloud computing
KW  - Internet of Things
KW  - robotics
KW  - autonomous driving
KW  - image registration
KW  - smart sensor
KW  - real time big data
KW  - land-use
KW  - air quality
KW  - particulate matter (PM10 PM2.5)
KW  - Intelligent Transportation Systems
KW  - functional requirements
KW  - machine learning
KW  - model actionability
KW  - model evaluation
KW  - cloud server
KW  - customized sensor node
KW  - customized gateway
KW  - FLoRa simulation
KW  - LoRa range radio
KW  - solid waste management
KW  - smart cities
KW  - big data
KW  - event detection
KW  - road traffic
KW  - distributed machine learning
KW  - automatic labeling
KW  - social media
KW  - data analytics
KW  - social media analytics
KW  - Arabic tweets
KW  - 3D microstructure reconstruction
KW  - permeable pavement
KW  - generative adversarial networks
KW  - tiny AI
KW  - tiny ML
KW  - distributed AI as a service (DAIaaS)
KW  - skin disease diagnosis
KW  - healthcare
KW  - smart societies
KW  - smart healthcare
KW  - reference architecture
KW  - TensorFlow
KW  - visually impaired
KW  - smart mobility
KW  - LiDAR
KW  - ultrasonic
KW  - obstacle detection
KW  - obstacle recognition
KW  - assistive tools
KW  - green computing
KW  - sustainability
KW  - Arduino Uno
KW  - smart app
KW  - n/a
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
ER  -