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Artificial intelligencetheory and ap...

Pap, Endre.

Artificial intelligencetheory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligenceedited by Endre Pap.
Reminder of title:	theory and applications /
other author:	Pap, Endre.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 353 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-3-030-72711-6
ISBN:	9783030727116$q(electronic bk.)

Artificial intelligencetheory and applications /
Artificial intelligencetheory and applications /[electronic resource] :edited by Endre Pap. - Cham :Springer International Publishing :2021. - xii, 353 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9731860-949X ;. - Studies in computational intelligence ;v. 216..

Part 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.

This 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.

ISBN: 9783030727116$q(electronic bk.)

Standard No.: 10.1007/978-3-030-72711-6doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .A78 2021

Dewey Class. No.: 006.3

Artificial intelligencetheory and applications /
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505 0 $a Part 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.
520 $a This 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.
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