001467762 000__ 07283cam\\22007097a\4500 001467762 001__ 1467762 001467762 003__ OCoLC 001467762 005__ 20230707003338.0 001467762 006__ m\\\\\o\\d\\\\\\\\ 001467762 007__ cr\un\nnnunnun 001467762 008__ 230506s2023\\\\si\\\\\\o\\\\\101\0\eng\d 001467762 019__ $$a1378294220 001467762 020__ $$a9789819912308$$q(electronic bk.) 001467762 020__ $$a981991230X$$q(electronic bk.) 001467762 020__ $$z9789819912292$$q(print) 001467762 020__ $$z9819912296 001467762 0247_ $$a10.1007/978-981-99-1230-8$$2doi 001467762 035__ $$aSP(OCoLC)1378390451 001467762 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX 001467762 049__ $$aISEA 001467762 050_4 $$aTK7882.I6 001467762 08204 $$a006.6/93$$223/eng/20230512 001467762 1112_ $$aInternational Conference on 3D Imaging Technologies -- Multidimensional Signal Processing and Deep Learning$$n(4th :$$d2022) 001467762 24510 $$a3D imaging -- multidimensional signal processing and deep learning :$$bimages, augmented reality and information technologies.$$nVolume 1 /$$cSrikanta Patnaik, Roumen Kountchev, Yonghang Tai, Roumiana Kountcheva, editors. 001467762 2463_ $$a3D IT-MSP&DL 001467762 260__ $$aSingapore :$$bSpringer,$$c2023. 001467762 300__ $$a1 online resource (297 p.). 001467762 4901_ $$aSmart Innovation, Systems and Technologies ;$$vv. 349 001467762 500__ $$a5.3.1 Multi-scale Feature Representation of Minera Zone 001467762 500__ $$aIncludes index. 001467762 5050_ $$aIntro -- Preface -- Contents -- About the Editors -- 1 A Review of Temporal Network Analysis and Applications -- 1.1 Introduction -- 1.2 Modeling and Representations of Temporal Networks -- 1.3 Structural Properties and Statistical Characteristics -- 1.3.1 Temporal Motifs and Community Structures -- 1.3.2 Paths and Distances -- 1.3.3 Centrality Metrics -- 1.4 Application Analysis -- 1.4.1 Important Node Analysis -- 1.4.2 Link Prediction -- 1.4.3 Community Segmentation -- 1.4.4 Influence Maximization -- 1.4.5 Analysis Tools -- 1.5 The Future Outlook -- References 001467762 5058_ $$a2 A Knowledge Representation Method for Hierarchical Diagnosis Decision-Making Under Uncertain Conditions -- 2.1 Introduction -- 2.2 Hierarchical Diagnosis Decision-Making Knowledge Classification -- 2.3 Hierarchical Diagnosis Decision-Making Knowledge Ontology Modeling -- 2.3.1 Hierarchical Diagnosis Decision-Making Knowledge Representation Model -- 2.3.2 Hierarchical Diagnosis Decision-Making Knowledge Representation Model -- 2.4 The Semantic Level of Hierarchical Diagnosis Decision-Making and Its Knowledge Relevance -- 2.4.1 Device Domain Ontology Semantics and Their Relationships 001467762 5058_ $$a2.4.2 Process Domain Ontology Semantics and Their Relationships -- 2.4.3 Diagnostic Domain Ontology Semantics and Their Relationships -- 2.4.4 Maintenance Decision Domain Ontology Semantics and Their Relationships -- 2.5 Conclusions -- References -- 3 Research and Implementation of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Research on the Method of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network -- 3.3.1 Characteristics of Electric Distribution Network Data 001467762 5058_ $$a3.3.2 Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network -- 3.4 Implementation of the Method of Hybrid Storage for Multi-source Heterogeneous Data of Electric Distribution Network -- 3.4.1 Design of Hybrid Storage Framework for Power Distribution Data -- 3.4.2 Implementation of Hybrid Storage Management System for Power Distribution Data -- 3.5 Application Results -- References -- 4 Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection -- 4.1 Introduction -- 4.2 Indentation Measurement -- 4.3 Edge Detection 001467762 5058_ $$a4.4 Technical Scheme -- 4.4.1 Measurement Steps and Methods -- 4.4.2 Simulation Result -- 4.5 Concluding Remarks -- References -- 5 Multi-feature Extraction of Mineral Zone of Tabling Through Deep Semantic Segmentation -- 5.1 Introduction -- 5.2 Process and Method -- 5.2.1 Acquisition and Production of Datasets -- 5.2.2 Construction of Deep Segmentation Model -- 5.2.3 Training Results of Deep Segmentation Model -- 5.2.4 Evaluation of Prediction Results of Deep Semantic Segmentation Model -- 5.3 Multi-scale Geometric Feature Characterization and Extraction of Mineral Zone 001467762 506__ $$aAccess limited to authorized users. 001467762 520__ $$aThis book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches. 001467762 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 12, 2023). 001467762 650_0 $$aThree-dimensional imaging$$vCongresses. 001467762 650_0 $$aSignal processing$$vCongresses. 001467762 650_0 $$aDeep learning (Machine learning)$$vCongresses. 001467762 655_0 $$aElectronic books. 001467762 7001_ $$aPatnaik, Srikanta. 001467762 7001_ $$aKountchev, Roumen. 001467762 7001_ $$aTai, Yonghang. 001467762 7001_ $$aKountcheva, Roumiana. 001467762 77608 $$iPrint version:$$aPatnaik, Srikanta$$t3D Imaging--Multidimensional Signal Processing and Deep Learning$$dSingapore : Springer Singapore Pte. Limited,c2023$$z9789819912292 001467762 830_0 $$aSmart innovation, systems, and technologies ;$$v349. 001467762 852__ $$bebk 001467762 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1230-8$$zOnline Access$$91397441.1 001467762 909CO $$ooai:library.usi.edu:1467762$$pGLOBAL_SET 001467762 980__ $$aBIB 001467762 980__ $$aEBOOK 001467762 982__ $$aEbook 001467762 983__ $$aOnline 001467762 994__ $$a92$$bISE