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Sensors and Communications for the Social Good

Sensors and Communications for the Social Good

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Social good is typically defined as an actions and services that benefit the general public. In this case, internet connection, education, and healthcare are all good examples of social goods. However, new media innovations and the explosion of online communities have added new meaning to the term. Social good is now about global citizens uniting to unlock the potential of individuals, technology, and collaboration to create a positive societal impact.

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Keywords

  • Ambient intelligence
  • Apache Spark
  • Architecture
  • automated transportation network
  • behavioral responses
  • big data
  • citizen-generated data
  • collision-free routing
  • computer archiving
  • contact awareness
  • COVID-19
  • data marketplace
  • decentralized file storage
  • Digital libraries
  • Digital twin
  • distributed hash table
  • Distributed Ledger Technology
  • eLearning and digital transformation of education
  • emergency remote teaching
  • flex sensor
  • framework
  • geographic information system
  • grid network
  • heuristics
  • History of engineering & technology
  • Human-computer interaction
  • humanistic informatics
  • indoor positioning
  • integer linear programming
  • Interaction design
  • Intercultural communication
  • interpersonal communications
  • IT for education
  • keyword-based search
  • landmark identification
  • Learning analytics
  • machine learning (ML)
  • minority languages
  • multi access edge computing
  • multi-person detection
  • n/a
  • neck-mounted interface
  • online education
  • optimization algorithm
  • pedestrian dead reckoning
  • responsive dashboard
  • sensor data
  • serious game
  • Smart Campus
  • Smart city
  • smart environment
  • smart home in a box
  • smart waste management
  • social well-being
  • spatiotemporal analytics
  • Technology, engineering, agriculture
  • Technology: general issues
  • uncertainty
  • Urban Facility Management
  • Virtual reality
  • waste classification
  • wearable computing

Links

DOI: 10.3390/books978-3-0365-7099-0

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