Muutke küpsiste eelistusi

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 2024 ed. [Pehme köide]

Edited by , Edited by
  • Formaat: Paperback / softback, 432 pages, kõrgus x laius: 235x155 mm, 221 Illustrations, color; 59 Illustrations, black and white; XV, 432 p. 280 illus., 221 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes on Data Engineering and Communications Technologies 219
  • Ilmumisaeg: 27-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031709586
  • ISBN-13: 9783031709586
Teised raamatud teemal:
  • Pehme köide
  • Hind: 206,20 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 242,59 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
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 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 432 pages, kõrgus x laius: 235x155 mm, 221 Illustrations, color; 59 Illustrations, black and white; XV, 432 p. 280 illus., 221 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes on Data Engineering and Communications Technologies 219
  • Ilmumisaeg: 27-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031709586
  • ISBN-13: 9783031709586
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031709586.html
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 processes14 papers.





2. Theoretical and applied aspects of decision-making systems7 papers.





3. Data engineering, computational intelligence, and inductive modeling16 papers.





This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.

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.