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dc.contributor.editorPanagiotakis, Spyros
dc.contributor.editorMarkakis, Evangelos K.
dc.date.accessioned2024-09-06T08:20:33Z
dc.date.available2024-09-06T08:20:33Z
dc.date.issued2024
dc.identifierONIX_20240906_9783725814879_127
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/143765
dc.description.abstractIn the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergency management. In such highly distributed and scalable architectures, each of the three processes can be situated at any physical or virtual computing system and located, ideally, at any place. Hence, communication and interoperation between the subsystems that comprise the total IoT system, namely extreme edge, edge, fog, and cloud deployments, are of critical importance. This reprint presents a collection of high-quality, state-of-the-art research papers, each introducing challenging issues in pervasive computing across the different domains of the IoT ecosystem. It comprises four papers focusing on customized application frameworks, three papers dealing with issues of ambient intelligence and assisted living of the aging population, three papers considering blockchain technology in various IoT applications, and two survey papers related to sensors and their applications.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.subject.otheractivity recognition
dc.subject.otherposture transitions
dc.subject.otherinertial sensor
dc.subject.otherfeature selection
dc.subject.othersupport vector machine
dc.subject.otherambient intelligence
dc.subject.otherhuman behavior monitoring
dc.subject.othersmart homes
dc.subject.otheractivities of daily living
dc.subject.otherelderly population
dc.subject.othermachine learning
dc.subject.otherinternet of things
dc.subject.otherubiquitous computing
dc.subject.otherbig data
dc.subject.otherindoor localization
dc.subject.otherambient assisted living
dc.subject.otherindoor location
dc.subject.otherhuman–computer interaction
dc.subject.otherassistive technology
dc.subject.otherblockchain
dc.subject.otherrecords
dc.subject.othernon-fungible tokens
dc.subject.othertransparency
dc.subject.otherInternet of Things
dc.subject.othersensor
dc.subject.othercomputational intelligence
dc.subject.otherdata analytics
dc.subject.otherdata pre-processing
dc.subject.othercapacitive sensing
dc.subject.otherlow cost
dc.subject.othertangible sensing
dc.subject.otherinteractive surface
dc.subject.othertactile sensing
dc.subject.otherhuman-computer interaction (HCI)
dc.subject.otherIoT
dc.subject.otherpervasive computing
dc.subject.otherhealthcare
dc.subject.othersmart cities
dc.subject.othercyber security
dc.subject.othercyber-physical systems
dc.subject.otherzero-trust
dc.subject.otherABAC
dc.subject.otherIPFS
dc.subject.otheredge device
dc.subject.otherframework
dc.subject.otherapplication server platform
dc.subject.otherSEMAR
dc.subject.otherneural networks
dc.subject.otherfederated learning
dc.subject.otherlearning on the edge
dc.subject.otherdevice identification
dc.subject.otherunsupervised machine learning
dc.subject.otherremote laboratory
dc.subject.otherArduino microcontroller programming
dc.subject.otherxAPI
dc.subject.otherLRS
dc.subject.otherassessment types
dc.subject.otherpervasive learning
dc.subject.othersupervised learning
dc.subject.othern/a
dc.titlePervasive Computing in IoT
dc.typebook
oapen.identifier.doi10.3390/books978-3-7258-1488-6
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783725814879
oapen.relation.isbn9783725814886


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