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dc.contributor.editorKarner, Michael
dc.contributor.editorPeltola, Johannes
dc.contributor.editorJerne, Michael
dc.contributor.editorKulas, Lukas
dc.contributor.editorPriller, Peter
dc.date.accessioned2024-07-16T18:50:44Z
dc.date.available2024-07-16T18:50:44Z
dc.date.issued2024
dc.identifierONIX_20240716_9783031540493_10
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/92309
dc.description.abstractThis open access book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries (EU and Turkey), provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. InSecTT fosters cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europe and cutting-edge research organizations and universities. The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e., smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports and the health sector shows their applicability on both high and broad level, going from citizens to European stakeholders. The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
dc.languageEnglish
dc.relation.ispartofseriesStudies in Computational Intelligence
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory
dc.subject.otherInternet of Things
dc.subject.otherConnectivity
dc.subject.otherSafety
dc.subject.otherTrustworthiness
dc.subject.otherExplainable AI
dc.subject.otherTrustable AI
dc.subject.otherCross-Domain
dc.subject.otherArtificial Intelligence
dc.subject.otherSecurity
dc.subject.otherReliability
dc.subject.otherUse Cases
dc.subject.otherReusability
dc.titleIntelligent Secure Trustable Things
dc.typebook
oapen.identifier.doi10.1007/978-3-031-54049-3
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy507a003c-a599-4f4e-8349-788e990eb749
oapen.relation.isbn9783031540493
oapen.relation.isbn9783031540486
oapen.imprintSpringer Nature Switzerland
oapen.series.number1147
oapen.pages441
oapen.place.publicationCham
oapen.grant.number[...]


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