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dc.contributor.authorXiang, Yusheng
dc.date.accessioned2022-06-27T09:34:44Z
dc.date.available2022-06-27T09:34:44Z
dc.date.issued2022
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/57094
dc.description.abstractInfrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).en_US
dc.languageEnglishen_US
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechniken_US
dc.subject.otherSmart Working Site; Multi Working Machine Pathfinding Algorithm; Multivariable Time Series Classification Algorithm; SLAM; 5G; IEEE 802.11pen_US
dc.titleAI and IoT Meet Mobile Machinesen_US
dc.title.alternativeTowards a Smart Working Siteen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000143073en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number7en_US
oapen.pages296en_US
peerreview.anonymityAll identities known
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.review.stagePre-publication
peerreview.review.typeFull text
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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