TY  - BOOK
AU  - Babichev,Sergii
AU  - Lytvynenko,Volodymyr
ED  - SpringerLink (Online service)
TI  - Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1: 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence", Proceedings 
T2  - Lecture Notes on Data Engineering and Communications Technologies,
SN  - 9783031709593
AV  - Q342 
U1  - 006.3 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Artificial Intelligence
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-70959-3
ER  -