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dc.contributor.editorDe, Suparna
dc.contributor.editorMoessner, Klaus
dc.date.accessioned2023-06-23T09:43:44Z
dc.date.available2023-06-23T09:43:44Z
dc.date.issued2023
dc.identifierONIX_20230623_9783036574684_36
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/100804
dc.description.abstractThis reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.otheranomaly detection
dc.subject.othervisualization
dc.subject.othersocial communication
dc.subject.otheregocentric network
dc.subject.otherinternet of things
dc.subject.othermental health
dc.subject.otherpervasive computing
dc.subject.othercontext awareness
dc.subject.othersociability
dc.subject.othersocial behavior
dc.subject.othersociability pattern
dc.subject.otherfall detection
dc.subject.otherwearable sensors
dc.subject.othersampling rate
dc.subject.otherdata preprocessing
dc.subject.otherfeature extraction
dc.subject.otherMachine Learning
dc.subject.otherInternet of Things
dc.subject.othersearch
dc.subject.othersecurity
dc.subject.otherprivacy
dc.subject.otherreliability
dc.subject.otherIoT search framework
dc.subject.otherIoT data sources
dc.subject.otherhome energy management systems (HEMS)
dc.subject.otherInternet of Things (IoT)
dc.subject.otherartificial intelligence (AI)
dc.subject.otherVoice Assistant
dc.subject.othermachine learning (ML)
dc.subject.otherbig data
dc.subject.otherfault detection
dc.subject.othersensor data
dc.subject.otherindustry 4.0
dc.subject.otherdata reduction
dc.subject.otherfeature analysis
dc.subject.otherfeature selection
dc.subject.otherindicators
dc.subject.otherartificial neural network
dc.subject.otherlocation privacy
dc.subject.otherperturbation mechanism
dc.subject.otherproximity detection
dc.subject.otherdigital contact tracing
dc.subject.othermulti-floor areas
dc.subject.othershort-text data
dc.subject.otherneural-topic model
dc.subject.otherpretrained word embedding
dc.subject.othercoherent topic
dc.subject.otherfine-tuning
dc.subject.othersmart tourism
dc.subject.othersocial sensing
dc.subject.othersensors
dc.subject.othere-tourism
dc.subject.otherdistributed-architecture
dc.subject.otherSpark
dc.subject.otherZenoh
dc.subject.otherFaaS
dc.subject.otherElasticsearch
dc.subject.otherindustrial revolution 4.0 (IR 4.0)
dc.subject.othercomputer networks
dc.subject.othernetwork security
dc.subject.otherwireless sensor networks (WSN)
dc.subject.othersystematic literature review (SLR)
dc.subject.otherstate-of-the-art
dc.subject.otheraggregation
dc.subject.otherauthentication
dc.subject.otherkey management
dc.subject.othersmart home
dc.subject.othersmart meter
dc.subject.othern/a
dc.titleSensor Networks
dc.title.alternativePhysical and Social Sensing in the IoT
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-7469-1
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036574684
oapen.relation.isbn9783036574691
oapen.pages316
oapen.place.publicationBasel


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