Announcements
Book Published
Hybrid Methods of BIG DATA Analysis and Applications
Editors : Sergey Gorbachev, Boris Gusev, Viсtor Kuzin, Shengli Xie and Dong Yue
ISBN : 978-1-915740-00-7
Book series : Artificial Intelligence Impressions
Publishing date : 24 November 2022
Table of Contents
Topic 1. Strongly coupled hybrid methods
Chapter 01: The Study of Fashion Items Generation Based on Big Data and Deep Learning
Chapter 02: Big Multimodal Data-driven Medical Image Processing for the COVID-19 Diagnosis
Chapter 03: Parallel optimization of weld design based on collective decision-making
Topic 2. Loosely coupled hybrid methods
Chapter 04: A Hybrid Method for Analysis of Multimodal Data for Establishing the Mechanism of Sorption of Oil and Petroleum Products by Natural Sorbent - Hair of Flyers of Horse Flowers
Chapter 05: Methods and Problems of Demercurization, New Effective Solutions for Decontamination of Mercury-Contaminated Objects
Topic 3. Transformational hybrid methods
Chapter 06: Hybrid Methods for Analysis of Structure and Phase Transitions in Alloys under Ark Heating
Chapter 07: Research on the Rapid Prototyping Process Optimization Technology of Complex Heterogeneous Mould Oriented by Manufacturing Big Data
Topic 4. Integrated hybrid methods
Chapter 08: Using a Hybrid FNN Method for Image Classification of Satellite Remote Sensing Data
Chapter 09: Big Data Analysis and Multi-Objective Optimization for Smart Grid
Chapter 10: Thermal Performance Hybrid Optimization of Natural Gas Hydrate Wellbore
Chapter 11: Multi-Criteria Fuzzy AHP Method for Analysis the Importance E-Learning Platforms during Covid-19
Chapter 12: Fuzzy logic traffic light control model using Arduino Uno microcontroller
Topic 5. Distributed hybrid methods
Chapter 13: Leader-Follower Consensus of Fractional-Order Multi-Agent Systems Using Adaptive Fuzzy control
