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Lecture notes in data engineering, computational intelligence, and decision-making. = 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /. Volume 1

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Lecture notes in data engineering, computational intelligence, and decision-making./ edited by Sergii Babichev, Volodymyr Lytvynenko.
其他題名:	2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /
其他作者:	Babichev, Sergii.
團體作者:	International Scientific Conference "Intelligent Systems of Decision-making and Problems of Computational Intelligence"
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xv, 432 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Basic Concept of Magnetic Materials and Summary of all the Chapters -- Magnetic Materials: Fundamentals and Applications -- Units, Dimensions and Conversion Factors in Magnetism: Basic Understanding -- Classification of Ferrites, Synthesis and Properties of Spinel Ferrite Nanoparticles and Their Applications -- Applications of Magnetic Materials -- Defects-Induced Multifunctional Properties in BiFeO3 -- Basic Concepts of Nitride Magnetic Materials and their Applications -- Fundamental Aspects of Nanomagnetism and its Versatile Applications -- Ferromagnetic Functional Materials -- Origin of Magnetism, Synthesis, Characterization and Perspective Application of Magnetic Graphene -- Externally Driven Interface in Three Dimensional Ising Model: A Monte Carlo study -- Selected Examples of Iron and Cobalt Complexes Exhibiting Spin-Crossover Behavior -- Magnetism in Bulk and Thin Film Metallic Glass Systems -- Recent Developments in Magnetic Nanocrystalline Metal Oxides and their Biomedical Applications -- Ferromagnetism in Two-Dimensional TMD Materials via Doping, Phase Transition and Defect Engineering.
Contained By:	Springer Nature eBook
標題:	Computational intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-70959-3
ISBN:	9783031709593

Lecture notes in data engineering, computational intelligence, and decision-making. = 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /. Volume 1
Lecture notes in data engineering, computational intelligence, and decision-making.2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /Volume 1[electronic resource] :edited by Sergii Babichev, Volodymyr Lytvynenko. - Cham :Springer Nature Switzerland :2024. - xv, 432 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes on data engineering and communications technologies,2192367-4520 ;. - Lecture notes on data engineering and communications technologies ;219..

Basic Concept of Magnetic Materials and Summary of all the Chapters -- Magnetic Materials: Fundamentals and Applications -- Units, Dimensions and Conversion Factors in Magnetism: Basic Understanding -- Classification of Ferrites, Synthesis and Properties of Spinel Ferrite Nanoparticles and Their Applications -- Applications of Magnetic Materials -- Defects-Induced Multifunctional Properties in BiFeO3 -- Basic Concepts of Nitride Magnetic Materials and their Applications -- Fundamental Aspects of Nanomagnetism and its Versatile Applications -- Ferromagnetic Functional Materials -- Origin of Magnetism, Synthesis, Characterization and Perspective Application of Magnetic Graphene -- Externally Driven Interface in Three Dimensional Ising Model: A Monte Carlo study -- Selected Examples of Iron and Cobalt Complexes Exhibiting Spin-Crossover Behavior -- Magnetism in Bulk and Thin Film Metallic Glass Systems -- Recent Developments in Magnetic Nanocrystalline Metal Oxides and their Biomedical Applications -- Ferromagnetism in Two-Dimensional TMD Materials via Doping, Phase Transition and Defect Engineering.

This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy. The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections: 1. Analysis and modeling of hybrid systems and processes-14 papers. 2. Theoretical and applied aspects of decision-making systems-7 papers. 3. Data engineering, computational intelligence, and inductive modeling-16 papers. This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.

ISBN: 9783031709593

Standard No.: 10.1007/978-3-031-70959-3doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Lecture notes in data engineering, computational intelligence, and decision-making. = 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence" : proceedings /. Volume 1
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520 $a This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy. The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections: 1. Analysis and modeling of hybrid systems and processes-14 papers. 2. Theoretical and applied aspects of decision-making systems-7 papers. 3. Data engineering, computational intelligence, and inductive modeling-16 papers. This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.
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