001438681 000__ 03873cam\a2200529\i\4500
001438681 001__ 1438681
001438681 003__ OCoLC
001438681 005__ 20230309004348.0
001438681 006__ m\\\\\o\\d\\\\\\\\
001438681 007__ cr\cn\nnnunnun
001438681 008__ 210804s2021\\\\sz\\\\\\o\\\\\001\0\eng\d
001438681 019__ $$a1263027884$$a1284942288
001438681 020__ $$a9783030728229$$q(electronic bk.)
001438681 020__ $$a3030728226$$q(electronic bk.)
001438681 020__ $$z3030728218
001438681 020__ $$z9783030728212
001438681 0247_ $$a10.1007/978-3-030-72822-9$$2doi
001438681 035__ $$aSP(OCoLC)1262726560
001438681 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001438681 049__ $$aISEA
001438681 050_4 $$aTA1637$$b.P37 2021
001438681 08204 $$a621.36/7$$223
001438681 1001_ $$aPark, Chiwoo,$$eauthor.
001438681 24510 $$aData science for nano image analysis /$$cChiwoo Park, Yu Ding.
001438681 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001438681 300__ $$a1 online resource
001438681 336__ $$atext$$btxt$$2rdacontent
001438681 337__ $$acomputer$$bc$$2rdamedia
001438681 338__ $$aonline resource$$bcr$$2rdacarrier
001438681 4901_ $$aInternational series in operations research & management science,$$x0884-8289 ;$$vv. 308
001438681 500__ $$aIncludes index.
001438681 5050_ $$aChapter 1. Introduction -- Chapter 2. Image Representation -- Chapter 3. Segmentation -- Chapter 4. Shape Analysis -- Chapter 5. Location and Dispersion Analysis -- Chapter 6. Lattice Pattern Analysis -- Chapter 7. Change Point Detection -- Chapter 8. State Space Modeling for Size Changes -- Chapter 9. Shape Change Tracking -- Chapter 10. Tracking Nucleation, Growth and Aggregation -- Chapter 11. Further Issues and Discussions.
001438681 506__ $$aAccess limited to authorized users.
001438681 520__ $$aThis book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization. This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.
001438681 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 10, 2021).
001438681 650_0 $$aImage analysis$$xData processing.
001438681 650_6 $$aAnalyse d'images$$xInformatique.
001438681 655_0 $$aElectronic books.
001438681 7001_ $$aDing, Yu$$c(Electrical and Computer Engineer),$$eauthor.
001438681 77608 $$iPrint version:$$aPark, Chiwoo.$$tData science for nano image analysis.$$dCham, Switzerland : Springer, 2021$$z3030728218$$z9783030728212$$w(OCoLC)1240493628
001438681 830_0 $$aInternational series in operations research & management science ;$$v308.$$x0884-8289
001438681 852__ $$bebk
001438681 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72822-9$$zOnline Access$$91397441.1
001438681 909CO $$ooai:library.usi.edu:1438681$$pGLOBAL_SET
001438681 980__ $$aBIB
001438681 980__ $$aEBOOK
001438681 982__ $$aEbook
001438681 983__ $$aOnline
001438681 994__ $$a92$$bISE