Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2: 2024 International...

— —

Sergii Babichev Volodymyr Lytvynenko

Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2

2024 International Scientific Conference ""Intelligent Systems of Decision-Making and Problems...

Sergii Babichev, Volodymyr Lytvynenko

$539.95 $431.65

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer International Publishing AG
26 April 2025

Decision theory: general; Databases; Artificial intelligence

Series: Lecture Notes on Data Engineering and Communications Technologies

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 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:

1. 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.

Edited by: Sergii Babichev, Volodymyr Lytvynenko
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 244
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031884825
ISBN 10: 3031884825
Series: Lecture Notes on Data Engineering and Communications Technologies
Pages: 288
Publication Date: 26 April 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

Hybrid Networks Training Method Based on Distributed and Parallel Computing Technology.- Knowledge Presentation and Procession Models for Intelligent Business Analytics Systems.- Biomedical Image Datasets.- Development and Implementation of a Software Information System for Biological Wastewater Treatment.- Forecasting Algorithm Based on Intellectual Analysis of Polynomial Extrapolation.- Approach to Identification of Anomalous Values in Analysis Tasks and Data Pre-processing.- Contemporary Methods, Models, and Software for Implementation and Optimization of IoT (Internet of Things) Systems: A Review.- Audio Deep Watermarking and Algebraic Transform.- Damage Detection Based on Satellite Image Analysis.- Improving Satellite Imagery Recognition Performance with Initial Dataset Limitation by Augmenting Training Data.- A Systematic Approach to Data Normalization and Standardization in Machine Learning Problems.- Systems Identification with Nonlinear Characteristics based on Interval Data.- Adaptive Bagging Of Hybrid Systems Of Computational Intelligence Using Metamodel Online Optimal Learning.- Determination of Fire Evacuation Parameters In Higher Education Institutions With Inclusive Groups Using Machine Learning Methods.- Airborne mine detection using synthetic aperture radar.- Hyperspectral Image Classification for Landmine Detection.