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Title Implementations and applications of machine learning / Saad Subair, Christopher Thron, editors
Published Cham : Springer, 2020
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Description 1 online resource (288 p.)
Series Studies in Computational Intelligence ; v.782
Studies in computational intelligence ; v. 782
Contents Intro -- Preface -- Reference -- Contents -- Parallel 3-Parent Genetic Algorithm with Application to Routing in Wireless Mesh Networks -- 1 Introduction -- 2 P3PGA Algorithm -- 3 Simulated Performance, Results, and Discussion -- 4 P3PGA for Minimal Cost Route Evaluation -- 5 Implementation and Performance of the Proposed Approach -- 5.1 Comparative Performance of 100 Node Client WMNs -- 5.2 Comparative Performance of 500 Node Client WMNs -- 5.3 Comparative Performance of 1000 Node Client WMNs -- 5.4 Comparative Performance of 2000 Node Client WMNs
3.1 Approaches to Tracking a Single Hand -- 3.2 Approaches to Tracking Both Hands -- 4 Hand Shape and Finger-spelling Recognition -- 4.1 Rule-Based Approaches -- 4.2 Machine Learning Approaches -- 5 Hand Motion/Gesture Recognition -- 6 Summary and Conclusions -- References -- Automatic Sign Language Manual Parameter Recognition (II): Comprehensive System Design -- 1 Introduction -- 2 Hand Retrieval -- 2.1 Input Capture -- 2.2 Hand Detection -- 2.3 Skin Detection -- 2.4 Face Detection -- 2.5 Face Histogram Computation
3.2 Detailed DE Algorithm Description -- 3.2.1 Population Structure -- 3.2.2 Initialization -- 3.2.3 Mutation -- 3.2.4 Crossover -- 3.2.5 Selection -- 3.2.6 Termination -- 3.3 Self-Adaptive DE Algorithms -- 4 Population-Based Incremental Learning (PBIL) -- 4.1 Overview -- 4.2 Binary Encoding, Probability Vector, and Population -- 4.3 Mutation -- 4.4 Learning Process -- 4.5 Termination -- 5 Application of DE and PBIL to PSS Design -- 5.1 Overview -- 5.2 System Configurations -- 5.3 Single Machine Infinite Bus System: Results of Optimization
5.4 Two-Area Multimachine System: Results of Optimization -- 5.5 Sensitivity of Differential Evolution to Algorithm Control Parameters. -- 5.5.1 Effects of F and CR Parameters on DE Convergence -- 5.5.2 Effect of Population Size -- 5.6 Application of Adaptive DE to PSS Design -- 5.7 Performance Summary -- 6 Chapter Summary -- References -- Automatic Sign Language Manual Parameter Recognition (I): Survey -- 1 Background and Motivation -- 2 Skin Detection -- 2.1 Static Skin Detection -- 2.2 Parametric Skin Detection -- 2.3 Non-parametric Skin Detection -- 3 Hand Tracking
5.5 Comparative Performance of 2500 Node Client WMNs -- 5.6 Overall Performance Considering all Networks -- 6 Conclusions -- References -- Application of Evolutionary Algorithms to Power System Stabilizer Design -- 1 Introduction -- 1.1 Oscillations in Electrical Power Systems and Power Systems Stabilizers -- 1.2 Algorithms for Parameter Optimization: Differential Evolution and Population-Based Incremental Learning -- 2 Problem Statement -- 2.1 Overview -- 2.2 State-Space Representation -- 2.3 Linearization -- 2.4 Modal Analysis -- 3 The Differential Evolution Algorithm -- 3.1 Overview
Summary This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The books GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning. Presents practical, useful applications of machine learning for practitioners, students, and researchers Provides hands-on tools for a variety of machine learning techniques Covers evolutionary and swarm intelligence, facial and image recognition, deep learning, data mining and discovery, and statistical techniques
Notes 2.6 Enhanced Skin Highlighting Principle and Its Application to the Left and Right Hands
Description based upon print version of record
Includes index
Subject Machine learning.
Artificial intelligence.
Communications engineering / telecommunications.
Computers -- Database Management -- Data Mining.
Cybernetics & systems theory.
Data mining.
Machine learning.
Medical equipment & techniques.
Medical -- General.
Molecular biology.
Science -- Life Sciences -- Anatomy & Physiology.
Technology & Engineering -- Engineering (General).
Technology & Engineering -- Telecommunications.
Genre/Form Electronic books.
Form Electronic book
Author Subair, Saad
Thron, Christopher
ISBN 3030378306
9783030378301