eBook
Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure : Challenges, Opportunities and Practices
| Τίτλος: | Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure : Challenges, Opportunities and Practices |
|---|---|
| Περιγραφή: | This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. |
| Συγγραφείς: | Ibrahim Yitmen |
| Resource Type: | eBook. |
| Θέματα: | Digital twins (Computer simulation), Product life cycle, Building information modeling, Building--Data processing, Facility management--Data processing |
| Categories: | COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, SCIENCE / Life Sciences / General |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3619621 RelevancyScore: 969 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 968.509704589844 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure : Challenges, Opportunities and Practices – Name: Abstract Label: Description Group: Ab Data: This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ibrahim+Yitmen%22">Ibrahim Yitmen</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+twins+%28Computer+simulation%29%22">Digital twins (Computer simulation)</searchLink><br /><searchLink fieldCode="DE" term="%22Product+life+cycle%22">Product life cycle</searchLink><br /><searchLink fieldCode="DE" term="%22Building+information+modeling%22">Building information modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Building--Data+processing%22">Building--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Facility+management--Data+processing%22">Facility management--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+Computer+Graphics%22">COMPUTERS / Software Development & Engineering / Computer Graphics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Software+Development+%26+Engineering+%2F+Systems+Analysis+%26+Design%22">COMPUTERS / Software Development & Engineering / Systems Analysis & Design</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+General%22">SCIENCE / Life Sciences / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3619621 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 624.0285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Digital twins (Computer simulation) Type: general – SubjectFull: Product life cycle Type: general – SubjectFull: Building information modeling Type: general – SubjectFull: Building--Data processing Type: general – SubjectFull: Facility management--Data processing Type: general Titles: – TitleFull: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure : Challenges, Opportunities and Practices Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ibrahim Yitmen – PersonEntity: Name: NameFull: Ibrahim Yitmen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 09 M: 04 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9781032136264 – Type: isbn-print Value: 9781032136288 – Type: isbn-electronic Value: 9781000918946 – Type: isbn-electronic Value: 9781000918977 – Type: isbn-electronic Value: 9781003230199 Titles: – TitleFull: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure : Challenges, Opportunities and Practices Type: main |
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