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001438278 020__ $$a9783030727116$$q(electronic bk.)
001438278 020__ $$a3030727114$$q(electronic bk.)
001438278 020__ $$z9783030727109
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001438278 0247_ $$a10.1007/978-3-030-72711-6$$2doi
001438278 035__ $$aSP(OCoLC)1260664992
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001438278 049__ $$aISEA
001438278 050_4 $$aQ335$$b.A78 2021
001438278 08204 $$a006.3$$223
001438278 24500 $$aArtificial intelligence :$$btheory and applications /$$cEndre Pap, editor.
001438278 264_1 $$aCham :$$bSpringer,$$c[2021]
001438278 264_4 $$c©2021
001438278 300__ $$a1 online resource :$$billustrations (chiefly color)
001438278 336__ $$atext$$btxt$$2rdacontent
001438278 337__ $$acomputer$$bc$$2rdamedia
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001438278 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 973
001438278 5050_ $$aPart I: Theory -- Mathematical base for Artificial Intelligence -- Collection and decomposition integrals in multicriteria-decision support -- A refinement of the Jensen type inequality for the pseudo-integral -- Convolutional Neural Networks Hyperparameters Tuning -- The Case for Quantifying Artificial General Intelligence with Entropy Semifields -- Fuzzy metrics and its applications in image processing -- Aggregation operations and distributivity equations -- The use of Fuzzy Logic in Various Combinatorial Optimization problems -- Improved BAT Algorithm for Solving Job Scheduling Problem in Hotels and Restaurants -- Part II: Applications -- Explainable machine learning prediction of PCB-138 behavior patterns in edible fish from Croatian Adriatic -- Patterns of PCB-138 occurrence in the breast milk of primiparae and multiparae using SHapley Additive exPlanations analysis -- What information on volatile organic compounds can be obtained from the data of a single measurement site through the use of artificial intelligence? -- The Linear Fuzzy Space: Theory and Applications -- Image fuzzy segmentation using aggregated distance functions and pixel descriptors -- A generative model for the creation of large synthetic image datasets used for distance estimation -- Appraisal of Apartments in Belgrade using Hedonic Regression: Model Specification, Predictive Performance, Suitability for Mass Appraisal, and Comparison with Machine Learning Methods -- Conversational agents for learning foreign languages a survey -- Intelligent interactive technologies for mental well-being.
001438278 506__ $$aAccess limited to authorized users.
001438278 520__ $$aThis book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph. D. students.
001438278 650_0 $$aArtificial intelligence.
001438278 650_0 $$aEnvironmental sciences$$xResearch.
001438278 650_6 $$aIntelligence artificielle.
001438278 650_6 $$aSciences de l'environnement$$xRecherche.
001438278 655_0 $$aElectronic books.
001438278 7001_ $$aPap, Endre,$$eeditor.
001438278 77608 $$iPrint version:$$tArtificial intelligence.$$dCham : Springer, [2021]$$z3030727106$$z9783030727109$$w(OCoLC)1240492425
001438278 830_0 $$aStudies in computational intelligence ;$$vv. 973.$$x1860-949X
001438278 852__ $$bebk
001438278 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72711-6$$zOnline Access$$91397441.1
001438278 909CO $$ooai:library.usi.edu:1438278$$pGLOBAL_SET
001438278 980__ $$aBIB
001438278 980__ $$aEBOOK
001438278 982__ $$aEbook
001438278 983__ $$aOnline
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