
Advances in Machine Learning and Signal Processing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Contents
- 1 User Identification of Keystroke Biometric Patterns with the Cognitive RAM Weightless Neural Net
- Abstract
- 1 Introduction
- 2 Related Work and Motivation
- 3 System Design
- 3.1 Force Sensor
- 3.2 Microprocessor Design with Arduino
- 4 Weightless Neural Networks
- 4.1 Learning
- 4.2 Recall
- 4.3 Improvements
- 5 Experimental Setup and Results
- 6 Conclusions
- References
- 2 Topology-Aware Mechanism to Improve Routing in Mobile Ad Hoc Networks
- Abstract
- 1 Introduction
- 2 Topology Changes Problem in MANET
- 3 Route State Prediction Method
- 3.1 Signal Strength Detection and Region Assignment
- 3.2 Rate of Change of Node Position
- 3.3 Node Behavior
- 3.4 Operation Scenario
- 4 Performance Evaluation
- 5 Results and Discussion
- 5.1 Packet Delivery Ratio (PDR)
- 5.2 Control Overhead
- 5.3 End-to-End Delay
- 6 Conclusion and Potential Future Work
- Acknowledgments
- References
- 3 An Adaptive Learning Radial Basis Function Neural Network for Online Time Series Forecasting
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Radial Basis Function
- 2.2 Adaptive Learning Algorithms
- 3 Results and Discussion
- 3.1 Data
- 3.2 Forecaster Optimization
- 3.3 Forecasting Performance
- 4 Conclusion
- References
- 4 Incremental-Eclat Model: An Implementation via Benchmark Case Study
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Theoretical Background
- 4 Traditional Eclat and Eclat-Variants Versus Incremental-Eclat Concept
- 5 Experimentation
- 6 Conclusion and Future Direction
- Acknowledgment
- References
- 5 Fall Detection Using Visual Cortex Bio-inspired Model for Home-Based Physiotherapy System
- Abstract
- 1 Introduction
- 2 BIM-AMM Framework
- 2.1 V1 Layer
- 2.2 Spiking Neuron Model
- 2.3 MT Layer
- 3 Results & Discussion
- 3.1 Database & Settings
- 3.2 Parameter Settings
- 3.3 Recognition Performance
- 4 Conclusion
- References
- 6 Online Clustering of Narrowband Position Estimates with Application to Multi-speaker Detection and Tracking
- Abstract
- 1 Introduction
- 2 Probabilistic Model of Narrowband Position Estimates
- 3 Maximum Likelihood-Based Online Clustering
- 4 Robust Counting and Tracking of Sources
- 4.1 Outlier Control and Smoothness of Estimated Tracks
- 4.2 Removing and Adding Speakers
- 5 Performance Evaluation
- 6 Conclusions
- References
- 7 Taguchi-based Parameter Setting of Cuckoo Search Algorithm for Capacitated Vehicle Routing Problem
- Abstract
- 1 Introduction
- 2 The Taguchi parameters based Cuckoo Search Algorithm
- 3 Result and Discussion
- 4 Conclusion
- References
- 8 IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Methodology
- 3.1 Preliminary Definitions
- 3.2 Incremental Sequential Mining
- 4 Result and Discussion
- 5 Conclusion
- References
- 9 Choosing Geometric Dissimilarity Measure for Content Based Coral Reefs Image Retrieval
- Abstract
- 1 Introduction
- 2 Dissimilarity Measures
- 3 Features Extraction
- 3.1 Colour Features
- 3.2 Texture Features
- 4 Experimental Results
- 4.1 Precision-Recall Graph
- 4.1.1 PR for ACB
- 4.1.2 PR for ACS
- 4.1.3 PR for CF
- 4.2 Mean Average Precision
- 5 Conclusion
- Acknowledgments
- References
- 10 Block Compressive Sensing (BCS) Based Multi-phase Reconstruction (MPR) Framework for Video
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Compressive Sensing
- 2.2 Related Work
- 3 Proposed Multi-phase Reconstruction (MPR) Framework
- 3.1 Phase 1-Image Prediction
- 3.2 Phase 2-Residual Reconstruction
- 3.3 Phase 3-Final Frame Reconstruction
- 4 Experimental Results
- 4.1 Proposed MPR Framework with BCS-TV-AL3
- 4.2 Visual Result Comparison
- 4.3 Comparison of Proposed MPR Framework with Other Reconstruction Schemes
- 4.4 Execution Time
- 5 Conclusion and Future Work
- References
- 11 PAT and Px Code Sidelobe Reduction Using Wavelet Neural Network
- Abstract
- 1 Introduction
- 2 Px and PAT Code
- 3 Wavelet Neural Network (WNN)
- 4 Simulation and Results
- 4.1 Convergence Performance
- 4.2 PSL Performance
- 4.3 Noise Performance
- 4.4 Computational Complexity
- 5 Conclusion
- References
- 12 Detecting Neighbor Discovery Protocol-Based Flooding Attack Using Machine Learning Techniques
- Abstract
- 1 Introduction
- 2 Background
- 2.1 NDP
- 2.2 IDPS
- 3 Related Work
- 4 Dataset
- 4.1 NDP Features Definition
- 5 Machine Learning
- 6 Experiments Evaluation
- 7 Conclusion
- Acknowledgments
- References
- 13 MFCC Global Features Selection in Improving Speech Emotion Recognition Rate
- Abstract
- 1 Introduction
- 2 MFCC Feature Extraction
- 3 Emotional Speech Database
- 4 Classification and Recognition
- 5 Result and Discussion
- 6 Conclusion and Future Work
- Acknowledgments
- References
- 14 A Parametric Study of Compact UWB Antenna with Multiple Notched-Band Functions
- Abstract
- 1 Introduction
- 2 Antenna Design
- 3 Results and Discussion
- 4 Conclusions
- References
- 15 Parallel Implementation of Morphological Operations on Binary Images Using CUDA
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Decomposition of Structuring Element
- 2.2 vHGW Algorithm
- 2.3 CUDA Implementation of the vHGW Algorithm
- 3 Implementation of Morphological Operations Using CUDA
- 4 Results and Discussions
- 4.1 Horizontal Erosion Operation
- 4.2 Vertical Erosion Operation
- 5 Conclusion
- Acknowledgements
- References
- 16 Non Negative Matrix Factorization for Music Emotion Classification
- Abstract
- 1 Introduction
- 1.1 Related Works
- 2 Classification Methods
- 2.1 Audio Pre-processing
- 2.1.1 Isolation Process
- 2.1.2 File Splitting
- 2.2 Extraction
- 2.3 Classifier Model Using Artificial Neural Network
- 3 Results and Discussion
- 3.1 Music Isolation Results
- 3.2 Classification Results
- 4 Conclusion and Future Works
- Acknowledgments
- References
- 17 Speech Enhancement Based on Noise Type and Wavelet Thresholding the Multitaper Spectrum
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Multitaper Spectrum Estimator
- 2.2 Wavelet Thresholding for the Refinement of the Spectrum Estimate
- 3 Speech Enhancement by Wavelet Thresholding the Multitaper Spectrum
- 3.1 Short Time Spectral Amplitude (STSA) Estimator
- 4 Proposed Architecture of the Speech Enhancement System
- 4.1 Determination of Noise Type
- 4.2 Proposed System
- 4.3 Implementation Details
- 5 Experimental Results
- 6 Conclusion
- References
- 18 Balinese Character Recognition Using Bidirectional LSTM Classifier
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Data Set
- 4 Preprocessing and Feature Extraction
- 5 Methodology
- 6 Evaluation
- 6.1 Benchmarking of Balinese OCR
- 7 Conclusion
- Acknowledgment
- References
- 19 An Automated Multiple Choice Grader for Paper-Based Exams
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Implementation Details and Methods
- 4 Experimental Results
- 5 Conclusion and Future Work
- References
- 20 Nonlinear System Modelling Utilizing Second Order Augmented Statistics Complex Value Algorithm
- Abstract
- 1 Introduction
- 2 Element of Augmented Complex Statistics
- 3 Data Driven System Modelling Algorithm
- 4 The CNGD and ACNGD Algorithm
- 5 Simulations
- 5.1 Nonlinear MA(3)
- 5.2 Widely Nonlinear MA(3)
- 5.3 The Performance of the CNGD and ACNGD for the Tracking of NMA(3) and WNMA(3) System
- 6 Conclusion
- References
- 21 Perceived Stress Scale and Brainwave Characteristic of Breastfeeding Women
- Abstract
- 1 Introduction
- 2 Methodology
- 2.1 Survey Questionnaire
- 2.2 Experimental Process
- 3 Results and Discussion
- 3.1 Perceived Stress Scale
- 3.2 Brainwave Balancing Index
- 3.3 Brain Dominance
- 3.4 Statistical Analysis
- 4 Conclusion
- Acknowledgments
- References
- 22 Improved Speech Emotion Classification from Spectral Coefficient Optimization
- Abstract
- 1 Introduction
- 2 The Proposed System
- 3 The Berlin Emotional Database (EMO-DB)
- 4 Features
- 4.1 Features Pre-Processing and Extraction
- 4.2 Coefficients Optimization
- 5 Classification
- 6 Experiments and Analysis of Results
- 6.1 Optimized Based on Discrete Spectral Features
- 6.2 Optimized Based on Combine Spectral Features
- 7 Conclusion
- References
- 23 Classification of EEG Signals Using Single Channel Independent Component Analysis, Power Spectrum, and Linear Discriminant Analysis
- Abstract
- 1 Introduction
- 2 Data and Methods
- 2.1 EEG Dataset
- 2.2 Preprocessing Using SCICA
- 2.3 EEG Power Spectrum
- 2.4 Feature Extraction
- 2.5 Classifiers
- 2.6 Implementation
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgments
- References
- 24 Comparison of Text Forum Summarization Depending on Query Type for Text Forums
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Terminology
- 2.2 Methods of Forum Summarization
- 2.3 Nearest Researches
- 3 Experiment
- 3.1 Data Collection
- 3.2 Models and Parameters
- 3.3 Quality Estimation
- 3.4 Features
- 4 Results and Discussion
- 5 Conclusion
- References
- 25 Vibro-Acoustic Fault Analysis of Bearing Using FFT, EMD, EEMD and CEEMDAN and Their Implications
- Abstract
- 1 Introduction
- 2 Mathematical Interpretation of Frequency
- 3 Empirical Mode Decomposition
- 4 Experimental Setup and Methodology
- 5 Results and Analysis
- 5.1 Fast Fourier Transform
- 5.2 Empirical Mode Decomposition
- 5.3 EEMD
- 5.4 CEEMDAN
- 6 Conclusions
- References
- 26 An Evaluation of Convolutional Neural Nets for Medical Image Anatomy Classification
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Convolutional Neural Nets
- 2.1.1 LeNet
- 2.1.2 AlexNet
- 2.1.3 GoogLeNet
- 3 Experimental Evaluation of LeNet, AlexNet and GoogLeNet for Anatomy Specific Classification
- 3.1 Experimental Evaluation of LeNet
- 3.2 Experimental Evaluation of AlexNet and GoogLeNet
- 4 Conclusion
- References
- 27 Ant Colony Optimization and Feature Selection for Intrusion Detection
- Abstract
- 1 Introduction
- 2 Feature Selection
- 3 Ant Colony Optimization
- 4 Related Work
- 5 Proposed Methodology
- 6 Results and Discusssions
- 7 Conclusion
- References
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.