Litgu.ru - Литературный Гуру

Chapter 1 Soft Computing Techniques: An Overview
1.1 Introduction
1.2 The Concept of Uncertainty: The Role of Fuzzy Logic
1.3 The Concept of Complexity: The Role of Artificial Neural Networks
1.4 The Concept of Optimization: The Role of Evolutionary Algorithms
1.5 Concluding Remarks
Chapter 2 Solution of Linear Difference Equation in Interval Environment and Its Application
2.1 Introduction
2.2 Preliminaries
2.3 Flowchart of Solution Approach
2.4 Difference Equation with Interval Environment
2.5 Numerical Example and Application
2.6 Conclusion
Chapter 3 Industrial Internet of Things and Industry 4.0
3.1 Introduction
3.2 Review of Literature
3.2.1 Augmented Reality
3.2.2 Additive Manufacturing
3.2.3 The Cloud
3.2.4 The Industrial Internet of Things
3.2.5 System Integration—Horizontal, Vertical and End to End
3.2.6 Simulation
3.2.7 Autonomous Robots
3.2.8 Big Data and Analytics
3.2.9 Cyber Physical Systems and Cybersecurity
3.3 Challenges and Fundamental Issues of Industry 4.0
3.4 Future Direction and Scope
3.5 Conclusion
Chapter 4 Industry 4.0 and Its Practice in Terms of Fuzzy Uncertain Environment
4.1 Introduction
4.1.1 Fuzzy Theory and Degree of Uncertainty
4.2 Review of Literature
4.3 Industry 4.0 Barriers
4.4 Conclusion
Chapter 5 Consistency of Aggregation Function-Based m-Polar Fuzzy Digraphs in Group Decision Making
5.1 Introduction
5.1.1 Problem Description
5.2 Fuzzy Ordering Theory
5.2.1 Aggregation of Fuzzy Orderings
5.2.2 Fuzzy Graphs
5.2.3 m-Polar Fuzzy Graphs
5.3 Conjunction-Based Fuzzy Relations
5.4 Conjunction-Based Framework for m-Polar Fuzzy Graphs
5.4.1 Preservation of A-Transitivity for Aggregated Fuzzy Relation
5.4.2 Proposed Algorithm
5.4.3 Numerical Example
5.5 Conclusion
Chapter 6 Path Programming Problems in Fuzzy Environment
6.1 Introduction
6.2 Preliminaries
6.3 The Shortest Path (SP) Problem in Fuzzy Environment
6.3.1 First Approach: The Fuzzy Shortest Path (FSP) Problem by Reliability
6.3.2 Second Approach: The Fuzzy Shortest Path (FSP) Problem by Interval-Valued Arithmetic
6.3.3 Numerical Example
6.4 The Shortest Path (SP) Problem in Hesitant Fuzzy Environment
6.4.1 Mathematical Model of Hesitant Fuzzy Shortest Path (HFSP) Problem
6.4.2 First Approach: HFSP Problem by Reliability
6.4.3 Second Approach: HFSP Problem by Interval-Valued Arithmetic
6.4.4 Numerical Example
6.5 Conclusion
Chapter 7 Weather Forecast and Climate Prediction Using Soft Computing Methods
7.1 Introduction
7.2 Artificial Neural Networks
7.2.1 A Concise Introduction to ANNs
7.2.2 Applications of ANNs in Climatology
7.3 Decision Tree
7.4 Support Vector Machines
7.5 Fuzzy Systems
7.5.1 An Introduction to Fuzzy Set Theory
7.5.2 Applications of Fuzzy Logic in Climatology and Meteorology
7.6 Conclusions
Chapter 8 Color Descriptor for Mobile Augmented Reality
8.1 Introduction
8.2 RGB FREAK Descriptor Framework
8.3 ALOI Dataset
8.4 Tracking Accuracy
8.5 Conclusion
Chapter 9 Cryptosystem for Meshed 3D through Cellular Automata
9.1 Introduction: Background and Driving Forces
9.2 Three Dimensional Objects Defined by Mesh
9.3 Compression of 3D Animated Mesh
9.4 Image Mining in 2D
9.5 Cellular Automata and Cryptography
9.6 Challenges in Using Data
9.7 State-of-the-Art Algorithms and Descriptors
9.8 Flexible FcCA Cryptosystem
9.9 Improved Flexible Cryptosystem (iFcCA)
9.10 Robotic Movement Encryption (Applied Case)
9.11 Previous Work
9.12 Proposed Applied Case (EncKin)
9.13 Conclusion
Chapter 10 Evolutionary Computing and Swarm Intelligence for Hyper Parameters Optimization Problem in Convolutional Neural Networks
10.1 Introduction
10.1.1 Bayesian Optimization
10.1.2 Applications
10.2 Deep Learning Overview
10.2.1 Deep Learning
10.2.2 Convolutional Neural Networks
10.2.3 Hyper Parameters Problem Optimization
10.3 Metaheuristic in Hyper Parameters Optimizations
10.3.1 Evolutionary Commuting
10.3.2 Particle Swarm Intelligence
10.3.3 Evolutionary Computing and Convolutional Neural Network
10.3.4 Swarm Intelligence and Convolutional Neural Network
10.4 Problems and Challenges
Chapter 11 New Approach for Efficiently Computing Factors of the RSA Modulus
11.1 Introduction: Background and Driving Forces
11.1.1 Continued Fractions
11.1.2 LLL Algorithm
11.1.3 Coppersmith's Method
11.1.4 Continuous Midpoint Subdivision Analysis
11.1.5 Jochemsz May's Strategy
11.2 Attacking RSA Key Equation Using Arbitrary Parameter
Chapter 12 Vision-Based Efficient Collision Avoidance Model Using Distance Measurement
Index