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001445696 001__ 1445696
001445696 003__ OCoLC
001445696 005__ 20230310003845.0
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001445696 019__ $$a1308394577$$a1308799147$$a1309015843$$a1309055511$$a1336589415$$a1351737209
001445696 020__ $$a9783030951160$$q(electronic bk.)
001445696 020__ $$a3030951162$$q(electronic bk.)
001445696 020__ $$z9783030951153$$q(print)
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001445696 0247_ $$a10.1007/978-3-030-95116-0$$2doi
001445696 035__ $$aSP(OCoLC)1309071462
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001445696 049__ $$aISEA
001445696 050_4 $$aTJ213
001445696 08204 $$a006.2/2$$223
001445696 24500 $$aCyber-physical systems :$$bintelligent models and algorithms /$$cAlla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakov, editors.
001445696 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001445696 300__ $$a1 online resource (ix, 279 pages) :$$billustrations (some color).
001445696 336__ $$atext$$btxt$$2rdacontent
001445696 337__ $$acomputer$$bc$$2rdamedia
001445696 338__ $$aonline resource$$bcr$$2rdacarrier
001445696 347__ $$atext file
001445696 347__ $$bPDF
001445696 4901_ $$aStudies in systems, decision and control,$$x2198-4190 ;$$vvolume 417
001445696 504__ $$aReferences -- Computer Vision and Image Processing -- Application of Computer Vision Tools to Create a System for Monitoring the Work of Ground Equipment in Open Pits of Gold Mining Enterprises -- 1 Introduction -- 2 Methods and Materials -- 2.1 Research Technology of Mining -- 2.2 Computer Vision Tasks -- 2.3 Materials -- 3 Results -- 3.1 Learning Outcomes of the Neural Network -- 3.2 Accuracy Metric Results -- 3.3 Results of Model Operation on the Test Site -- 4 Discussion -- References -- Framework for Biometric User Authentication Based on a Dynamic Handwritten Signature -- 1 Introduction -- 2 Background -- 2.1 Characteristics of a Dynamic Handwritten Signature -- 2.2 Basic Challenges -- 3 The Architecture of the Developed Framework -- 4 Experimental Research -- 4.1 Selection of the Parameters -- 4.2 Comparison with Other Algorithms -- 5 Conclusion -- References -- Image Compression Based on the Significance Analysis of the Wavelet Transform Coefficients Using the Energy Feature Model -- 1 Introduction -- 2 Wavelet Transform of Images -- 3 Model of Energy Features of the Image -- 4 Image Compression Based on the Energy Feature Model -- 5 Conclusion -- References -- Construction of a Fuzzy Model for Contour Selection -- 1 Introduction -- 2 Building a Fuzzy Inference Model -- 3 Reduction of the Knowledge Base of the Fuzzy Model of Contour Selection -- 4 Determination of the Parameters of the Membership Functions of a Fuzzy Model -- 5 Conclusion -- References -- Identification of Vehicle Trajectory Anomalies on Streaming Video -- 1 Introduction -- 2 Background -- 3 Suggested Approach -- 3.1 Trajectories Extraction -- 3.2 Trajectories Thinning -- 3.3 Trajectories Comparison -- 3.4 Trajectories Clustering -- 3.5 Trajectory Classification -- 4 The Framework for Identification of vehicle's Trajectory Anomalies on Streaming Video -- 5 Evaluation.
001445696 504__ $$aIncludes bibliographical references and index.
001445696 5050_ $$aBio-inspired modelling -- Fuzzy models and algorithms -- Predictive modelling -- Computer Vision and Image Processing.
001445696 506__ $$aAccess limited to authorized users.
001445696 520__ $$aThis book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.
001445696 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 6, 2022).
001445696 650_0 $$aCooperating objects (Computer systems)
001445696 650_0 $$aArtificial intelligence.
001445696 650_0 $$aFuzzy mathematics.
001445696 650_0 $$aMachine learning.
001445696 650_6 $$aObjets coopérants (Systèmes informatiques)
001445696 650_6 $$aIntelligence artificielle.
001445696 650_6 $$aMathématiques floues.
001445696 650_6 $$aApprentissage automatique.
001445696 655_0 $$aElectronic books.
001445696 7001_ $$aKravets, Alla,$$eeditor.
001445696 7001_ $$aBolshakov, Alexander A.$$eeditor.
001445696 7001_ $$aShcherbakov, Maxim,$$eeditor.$$0(orcid)0000-0001-7173-4499$$1https://orcid.org/0000-0001-7173-4499
001445696 77608 $$iPrint version: $$z3030951154$$z9783030951153$$w(OCoLC)1289365745
001445696 830_0 $$aStudies in systems, decision and control ;$$vv. 417.$$x2198-4190
001445696 852__ $$bebk
001445696 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-95116-0$$zOnline Access$$91397441.1
001445696 909CO $$ooai:library.usi.edu:1445696$$pGLOBAL_SET
001445696 980__ $$aBIB
001445696 980__ $$aEBOOK
001445696 982__ $$aEbook
001445696 983__ $$aOnline
001445696 994__ $$a92$$bISE