International Conference on Innovative Computing and Communications: Proceedings of ICICC 2019, Volume 1 (Advances in Intelligent Systems and Computing, 1087)

✍ Scribed by Ashish Khanna (editor), Deepak Gupta (editor), Siddhartha Bhattacharyya (editor), Vaclav Snasel (editor), Jan Platos (editor), Aboul Ella Hassanien (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 891
• Category: Library

✦ Synopsis

This book includes high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which is held at the VŠB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

✦ Table of Contents

Organizing Committee
ICICC 2019 Steering Committee Members
ICICC 2019 Advisory Committee
Preface
About This Book
Contents
About the Editors
Improving the Accuracy of Collaborative Filtering-Based Recommendations by Considering the Temporal Variance of Top-N Neighbors
1 Introduction
1.1 Problem Definition
1.2 Proposed Solution Approach
1.3 Advantage of the Proposed Approach
1.4 Contribution of This Paper
1.5 Organization of the Paper
2 Background and Related Work
3 Proposed Recommendation Approach
4 Comparative Analysis
5 Conclusion
References
Exploring the Effect of Tasks Difficulty on Usability Scores of Academic Websites Computed Using SUS
1 Introduction
2 Research Methodology
2.1 End-Users Details
2.2 Three Subsets of Tasks Considered for Usability Evaluation
2.3 Procedure
3 Experimental Results
3.1 Comparative Analysis
3.2 Correlation and Regression
4 Conclusions and Future Directions
5 Appendix
References
Prediction and Estimation of Dominant Factors Contributing to Lesion Malignancy Using Neural Network
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Results
5 Conclusion
References
Prediction of Tuberculosis Using Supervised Learning Techniques Under Pakistani Patients
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Cleaning and Transformation
3.2 Environmental Setup
4 Results
5 Conclusion
References
Automatic Retail Invoicing and Recommendations
1 Introduction
1.1 Challenges of This Research
2 Related Work
3 Activity Recognition and Adaptation Conceptualization
3.1 How Indoor Environments Detect an Object’s Position in Adverse GNSS Conditions?
3.2 What Policy Will Make Positioning Accuracy in LBS Applications?
3.3 How LBS-Generated Data Analysis Works (Tracking Social Media Data)
4 Product Recommendation as Per Body Parameters
4.1 Age and Height Probability Determination
4.2 Age and Weight Probability Assessment
5 Summary and Future Challenges
References
Modeling Open Data Usage: Decision Tree Approach
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Data Description
3.2 Regression Tree
4 Research Results
5 Conclusion
References
Technology-Driven Smart Support System for Tourist Destination Management Organizations
1 Introduction
1.1 Overtourism
1.2 Digital Technologies in Hospitality and Tourism
2 Destination Management Systems and Tools
3 Technology-Driven Smart Support System for DMO
3.1 eDestination
4 Šibenik Smart Destination Case
4.1 Scenario 1: Visitor Satisfaction Survey eDestination
4.2 Scenario 2: Movement Behavior
4.3 Scenario 3: Advanced Visualization of Overnights
5 Future Research
References
Ortho-Expert: A Fuzzy Rule-Based Medical Expert System for Diagnosing Inflammatory Diseases of the Knee
1 Introduction
1.1 Orthopaedic Diseases
1.2 Knee and Knee Category
2 Literature Review
3 Proposed Methodology
3.1 Knowledge Engineering
3.2 Fuzzification of Inputs and Outputs
3.3 Fuzzy Rule Base Model
3.4 Fuzzy Inference
3.5 Defuzzification
4 Graphical User Interface
5 Testing
5.1 Predictive Values
6 Discussion and Conclusion
References
GA with k-Medoid Approach for Optimal Seed Selection to Maximize Social Influence
1 Introduction
2 Proposed Methodology
2.1 Dynamic Edge Strength Score
2.2 Generate Initial Population Using k-Medoid Algorithm
2.3 Optimal Seed Selection Using Genetic Algorithm
3 Experiments and Results
3.1 Evaluation Parameter
3.2 Analysis of Results
4 Conclusion and Future Work
References
Sentiment Analysis on Kerala Floods
1 Introduction
2 Literature Survey
3 Methodology
3.1 Twitter Data Set
3.2 Sentiment Analysis
4 Results and Discussion
4.1 Word Cloud
4.2 Intensity Index
4.3 Comparative Word Cloud
4.4 Comparison Study
5 Result Analysis
6 Conclusion
References
Recommendation System Using Community Identification
1 Introduction
2 Literature Review
3 Methodology
4 Experimental Setup
5 Results
6 Conclusion
References
Comparison of Deep Learning and Random Forest for Rumor Identification in Social Networks
1 Introduction
2 Related Work
3 Rumor Detection Algorithm
3.1 Data Set
3.2 Rumor Detection Features
3.3 Pre-processing
3.4 Random Forest Algorithm
3.5 Rumor Identification Algorithm
4 Experimental Results
4.1 Rumor Identification Evaluation
4.2 Performance Metrics
5 Conclusion
References
Ontological Approach to Analyze Traveler’s Interest Towards Adventures Club
1 Introduction
2 Existing Systems
3 Our System
4 Methodology
5 Algorithm
6 Declaration Algorithm
7 Model Building of Personalized Recommendation Based on Ontology
8 Ontology Graph
9 Database Architecture
10 Prototype Interface
11 Results
12 Conclusion
References
Performance Analysis of Off-Line Signature Verification
1 Introduction
2 Related Work
3 Methodology
3.1 Gathering Database
3.2 Feature Extraction
3.3 Classifier
4 Experimental Setup
4.1 Experiment Using Combinations of Four Features (Average Object Area, Mean, Euler No. and Area)
4.2 The Effect of Varying Sample Size
4.3 The Effect of User Dependent Model
5 Conclusion
References
Fibroid Detection in Ultrasound Uterus Images Using Image Processing
1 Introduction
2 Related Works
3 Methodology
3.1 Fibroid Image
3.2 Preprocessing
3.3 Proposed Algorithm
3.4 Feature Extraction
4 Results and Discussion
5 Conclusion
References
Progressive Generative Adversarial Binary Networks for Music Generation
1 Introduction
2 Background
2.1 Generative Adversarial Networks
2.2 Progressive Growing of GANs
2.3 Deterministic Binary Neurons
2.4 Straight-Through Estimator
3 Proposed Model
3.1 Input Data
3.2 Generator
3.3 Refiner
3.4 Discriminator
4 Analysis
4.1 Implementation and Training
4.2 Results
4.3 User Study
5 Conclusion
References
Machine Learning Approach for Diagnosis of Autism Spectrum Disorders
1 Introduction
2 Literature Survey
3 Data Acquisition and Preprocessing
4 Methodologies
4.1 Decision Tree
4.2 Random Forest (RF)
4.3 Logistic Regression
4.4 Support Vector Machine Classifier (SVM)
4.5 Gaussian Naive Bayes (GNB)
4.6 K-Nearest Neighbor Algorithm (KNN)
4.7 Perceptron Learning
4.8 Extreme Random Forest (ERF)
5 Implementation
5.1 Classification Model
5.2 Backend
5.3 Android Application
6 Result
7 Future Work
8 Conclusion
References
Methodologies for Epilepsy Detection: Survey and Review
1 Introduction
2 Methodologies
2.1 Artificial Neural Network (ANN)
2.2 K-Means Clustering
2.3 Radial Basis Function Neural Network (RBFNN)
2.4 Approximate Entropy (ApEn)
2.5 Principal Component Analysis (PCA)
2.6 Empirical Mode Decomposition (EMD)
2.7 Backpropagation Neural Network (BPNN)
3 Comparative Study
3.1 Using Wavelet Decomposition
3.2 Using ApEn for Evaluation
3.3 Using PCA Technique
3.4 Using Empirical Mode Decomposition
3.5 Using Backpropagation Neural Network
3.6 Using Epilepsy Spectrum Device
4 Results and Discussions
5 Conclusion
References
Scene Understanding Using Deep Neural Networks—Objects, Actions, and Events: A Review
1 Introduction
2 Evolution of Scene Understanding
2.1 Image Classification
2.2 Object Detection
2.3 Semantic Segmentation
2.4 Instance Segmentation
2.5 Event Recognition
3 Dataset
4 Conclusions
References
Scene Text Recognition: A Preliminary Investigation on Various Techniques and Implementation Using Deep Learning Classifiers
1 Introduction
2 Architectural Framework
3 Scene Text Localization and Recognition Methodologies
4 Table Giving the Literature Review of Papers with Dataset
5 Results and Discussions
6 Conclusions
References
Computer-Aided Diagnosis System for Investigation and Detection of Epilepsy Using Machine Learning Techniques
1 Introduction
1.1 Detection and Diagnosis of Epilepsy
2 Literature Survey
3 Architecture for Epilepsy Classification
3.1 EEG Data
3.2 Signal Classification
4 Results and Discussion
5 Conclusion and Future Work
References
Moments-Based Feature Vector Extraction for Iris Recognition
1 Introduction
2 Proposed Moments for Iris Recognition
2.1 Hu Moments
2.2 TChebyshev Moments
2.3 Coiflet Moments
2.4 Gabor Moments
2.5 Affine and Blur Invariant Moments
3 Experimental Results and Discussions
4 Conclusions
References
A Novel Approach to Improve Website Ranking Using Digital Marketing
1 Introduction
2 Search Engines
2.1 Types
2.2 Factors Affecting Search Engine Ranking of a Website
3 Net Market Share Analysis
4 Sem Techniques
5 Proposed Approach
6 Conclusion and Future Work
References
A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging
1 Introduction
2 Brain MRI Skull Stripping Methodologies
2.1 Mathematical Morphology-Based Methods
2.2 Intensity Based Methods
2.3 Deformable-Surface Based Methods
2.4 Atlas-Based Methods
2.5 Hybrid Methods
3 Different Brain MRI Skull Stripping Segmentation Techniques
3.1 Region Growing Technique
3.2 Histogram-Based Thresholding
3.3 Fuzzy C Means Technique
3.4 K-Means
3.5 Region Splitting and Merging (RSM)
4 Experimental Results and Discussions
5 Conclusion
References
Predicting Academic Performance of International Students Using Machine Learning Techniques and Human Interpretable Explanations Using LIME—Case Study of an Indian University
1 Introduction
2 Review of Related Work
3 Experimental Set-up
4 Methods and Techniques
4.1 Feature Extraction
4.2 Classification Algorithms Used
4.3 Evaluation Metrics
4.4 Interpretability of Prediction Outcomes
5 Experimental Outcomes and Observations
5.1 Feature Extraction
5.2 Performance of Logistic Regression Models
5.3 Prediction Using Naïve Bayes Models
5.4 Prediction Using CART Models
5.5 Prediction Using Random Forest Models
5.6 Performance Comparison for Different Models and Algorithms
5.7 Explanation of Classification Outcomes
6 Conclusions
7 Future Scope
References
Improved Feature Matching Approach for Detecting Copy-Move Forgery and Localization of Digital Images
1 Introduction
2 Literature Survey
2.1 Block-Based Methods (BBM)
2.2 Keypoint-Based Methods (KBM)
3 Proposed Method
3.1 Pre-processing
3.2 Feature Extraction by MIFT
3.3 Matching Keypoints
3.4 Affine Transformation Estimation
3.5 Improved Window-Based Technique for Matching Features
3.6 Forgery Detection
3.7 Zernike Moments
4 Parameters for Evaluation
5 Results
5.1 Image Database
5.2 Performance Detection
6 Conclusions
References
Sentiment Analysis Using Gini Index Feature Selection, N-Gram and Ensemble Learners
1 Introduction
1.1 Sentiment Analysis
1.2 Applications of Sentiment Mining
1.3 Problems in Sentiment Mining
2 Related Work
3 Proposed Approach
4 Conclusions
References
Text Summarization by Hybridization of Hypergraphs and Hill Climbing Technique
1 Automatic Summarization
1.1 Unsupervised Summarization
2 Related Work
3 Methodology
3.1 Preliminary Processing of the Given Document
3.2 Scoring of Sentences
3.3 Selection of Sentences
4 Implementation
5 Results
5.1 Complexity
5.2 Convergence of the Algorithm 1
5.3 Salient Features of the Algorithm
6 Evaluation
7 Conclusion
8 Future Work
References
Comparing Machine Learning Algorithms to Predict Diabetes in Women and Visualize Factors Affecting It the Most—A Step Toward Better Health Care for Women
1 Introduction
1.1 Type 1 Diabetes
1.2 Type 2 Diabetes
1.3 Gestational Diabetes
1.4 Detecting Diabetes
1.5 Machine Learning
1.6 About the Dataset
2 Methodology
2.1 Setting up the Environment
2.2 Starting the Code
3 Result
4 Conclusion
5 Future Scope
References
Evolution of mHealth Eco-System: A Step Towards Personalized Medicine
1 Introduction
2 Methodology
2.1 Data Layer
2.2 Data Aggregation Layer
2.3 Data Analytical Layer
2.4 Information Exploration Layer
2.5 Data Governance Layer
3 Results and Discussion
4 Conclusion
References
Genetic Variance Study in Human on the Basis of Skin/Eye/Hair Pigmentation Using Apache Spark
1 Introduction
2 Apache Spark
2.1 Genetic Variation Parameters
2.2 1000 Genome Project and VCF
3 Result and Discussion
4 Conclusion and Future Work
References
An Improved Technique on Existing Neck and Head Support Systems for Cervical Dystonia
1 Introduction
2 Related Work
3 Proposed System
4 Working
4.1 Android Application
4.2 Bluetooth Module
4.3 Arduino Uno
4.4 Servo Motor
4.5 Gears
4.6 Shaft
4.7 Head Belt
5 Results
6 Method and Instrument Adopted for the Recorded Observations
7 Conclusion and Future Work
References
Automatic Text Summarization Using Fuzzy Extraction
1 Introduction
2 Related Work
3 Method and Techniques
4 Proposed Methodology
5 Result and Comparison
6 Conclusion and Future Work
References
A Comparison of Machine Learning Approaches for Classifying Flood-Hit Areas in Aerial Images
1 Introduction
2 Related Work
3 Methodology
4 Experimental Results
5 Conclusion
References
Cognitive Services Applied as Student Support Service Chatbot for Educational Institution
1 Introduction
2 Technical Fundamentals
3 Student Support Service Chatbot Design
4 Academic (EU) API
5 Research Findings
6 Conclusion
References
Feature Extraction and Detection of Obstructive Sleep Apnea from Raw EEG Signal
1 Introduction
2 Methodology
2.1 Pre-processing
2.2 Decomposition
2.3 Feature Extraction
3 Results and Discussions
4 Conclusions
References
AIRUYA-A Personal Shopping Assistant
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 User Interface
3.2 Query Processing
3.3 Information Extraction
3.4 Post-Processing
3.5 Output Display
4 Discussion and Use Cases
4.1 Case 1
4.2 Case 2
5 Conclusion and Future Works
References
Adapting Machine Learning Techniques for Credit Card Fraud Detection
1 Introduction
2 Literature Review
3 Several Issues: Machine Learning
4 Dataset Description
5 Experiments and Results
6 Conclusion
References
Ensemble Feature Selection Method Based on Recently Developed Nature-Inspired Algorithms
1 Introduction
2 Background
2.1 OCSA
2.2 OBBA
2.3 OCFA
2.4 MGWO
3 Methodology
3.1 Proposed Ensemble Feature Selection Method
3.2 Implementation of the Proposed Method
4 Results and Discussions
5 Comparison of OBBA, OCSA, OCFA, MGWO and EFSM
6 Conclusion and Future Works
References
Diagnosis of Parkinson’s Disease Using a Neural Network Based on QPSO
1 Introduction
2 Background
2.1 Particle Swarm Optimization
2.2 Quantum Optimization
2.3 Optimized Evolutionary Algorithms
3 Methodology
3.1 Quantum Particle Swarm Optimization
3.2 Implementation of the Proposed Model
4 Results
5 Conclusion
References
Transfer Learning Model for Detecting Early Stage of Prurigo Nodularis
1 Introduction
2 Literature Survey
2.1 Comparison of Machine Learning Algorithms for Skin Disease Classification Using Color and Texture Features sps8554512
2.2 Transfer Learning for Visual Categorization: A Survey sps6847217
2.3 Classification of Skin Lesions Using an Ensemble of Deep Neural Networks sps8512800
2.4 Benchmark Analysis of Popular ImageNet Classification Deep CNN Architectures sps8358502
2.5 Other Related Work
3 Existing Method
3.1 Skin Biopsy in the Context of Dermatological Diagnosis BIOPSYPAPER
3.2 Texture Based Classification of Skin Disease Images inbook
4 Proposed Method
4.1 Image Model
4.2 Symptoms Model
5 Approach for Skin Disease Detection
6 Android Application Module
7 Results and Analysis
8 Ethical Conduct
9 Conclusion
10 Future Scope
References
Optimization of External Stimulus Features for Hybrid Visual Brain–Computer Interface
1 Introduction
2 Materials and Methods
2.1 Participants
2.2 Experimental Setup
2.3 EEG Acquisition
2.4 Stimulation
3 Result
3.1 VEP Magnitude Affected by Frequencies
3.2 Effect of Stimulus Size on VEP
3.3 Effect of Color on VEP
4 Conclusion
References
Predicting the Outcome of an Election Results Using Sentiment Analysis of Machine Learning
1 Introduction
2 Methodology
3 Result and Discussion
4 Conclusion and Future Work
References
A Wide ResNet-Based Approach for Age and Gender Estimation in Face Images
1 Introduction
2 Methodology
2.1 Architecture
2.2 Training
3 Results
3.1 About the Dataset
3.2 Resources
4 Conclusion and Future Work
References
Bio-inspired Algorithms for Diagnosis of Heart Disease
1 Introduction
2 Literature Review
3 Proposed Work/Methodology
3.1 Methodology
4 Implementation and Results
4.1 Experimental Setup
4.2 Input Parameters
4.3 Dataset
4.4 Results
5 Conclusion and Future Scope
References
Emotion Detection Through EEG Signals Using FFT and Machine Learning Techniques
1 Introduction
2 Related Work
2.1 Description of EEG Signals and Channel System
2.2 Statistical Features and FFTs
3 Methodology
3.1 Dataset
3.2 Feature Selection
3.3 Classification
4 Results and Analysis
5 Conclusion
References
Text Summarization with Different Encoders for Pointer Generator Network
1 Introduction
2 Related Work
3 Pointer Generator Network
3.1 Coverage Mechanism
4 Experiment and Results
4.1 Dataset
4.2 Implementation and Observations
4.3 Evaluation Metrics
5 Conclusion and Future Scope
References
Performance Evaluation of Meta-Heuristic Algorithms in Social Media Using Twitter
1 Introduction
2 Meta-Heuristic Algorithms
3 Evolution of CS Algorithm
4 Dataset and Methodology
5 Comparative Analysis of CS Algorithm
6 Results and Discussion
7 Conclusions
References
Heuristic Coordination for Multi-agent Motion Planning
1 Introduction
2 Development of Coordinated Multi-agent Navigation
2.1 Approach 1: Potential Field Method (PFM)
2.2 Automatically Evolved GA-FLC-Based Navigation
3 Simulation Results and Discussions
3.1 Navigation of Eight and 12 Robots
4 Conclusions
References
Optimization of Click-Through Rate Prediction of an Advertisement
1 Introduction
2 Literature Survey
3 Data and Methodology
3.1 Dataset
4 Proposed Model
4.1 Firefly Algorithm
5 Results
6 Conclusion
References
Prediction of Cervical Cancer Using Chicken Swarm Optimization
1 Introduction
2 Background
2.1 Machine Learning Methods
2.2 Feature Selection
3 Methodology
3.1 Proposed Chicken Swarm Optimization
3.2 Implementation of the Proposed Method
4 Results and Discussions
5 Comparison
6 Conclusions and Future Works
References
Describing Image Using Neural Networks
1 Introduction
2 Related Work
3 Proposed Methodology
4 Results
5 Conclusion
References
An Efficient Expert System for Proactive Fire Detection
1 Introduction
1.1 Proposed Fire Detection Systems
1.2 Expert System
2 Literature
3 Methodology
4 Simulation
4.1 Experimental Setup
4.2 Impact Range
4.3 Experimental Analysis
5 Results and Discussions
6 Conclusion
References
Computational Intelligence for Technology and Services Computing Analysis of Sentiment Analysis Techniques
1 Introduction
2 Related Works
3 Proposed Work
3.1 Data Analytics Approach
3.2 Machine Learning Approach
4 Implementation and Result
4.1 Experimental Result
5 Conclusion and Future Work
References
Detection of Parkinson’s Disease Using Machine Learning Techniques for Voice and Handwriting Features
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Dataset Description
3.2 Feature Selection
3.3 Machine Learning Methods
4 Results and Analysis
4.1 Voice Dataset
4.2 Hand Meander
4.3 Hand Spiral
5 Conclusion and Future Scope
References
Audio–Video Aid Generator for Multisensory Learning
1 Introduction
2 Related Work
3 System Design
3.1 User Interaction
3.2 Stream Generator
3.3 Keyword Extraction
3.4 Fetching Images
3.5 Detecting emotions
3.6 Video Output
3.7 Data Flow
4 Algorithm
5 Results
6 Conclusion
References
E-Labharthi—Information Management for Sustainable Rural Development
1 Introduction
2 Related Works
3 Proposed System
4 Functionalities of the Proposed Framework
4.1 Scheme Management
4.2 Beneficiary Management
4.3 Budget and Accounting
4.4 Public Grievances and Redressal Management
4.5 Scheme Performance Management System
5 Conclusions and Future Works
References
Prediction of Celiac Disease Using Machine-Learning Techniques
1 Introduction
2 Background
2.1 Machine-Learning Methods
2.2 Input Parameters
2.3 Implementation
2.4 Performance Measures
3 Results and Discussion
4 Conclusion
5 Future Scope
References
Detection of Devanagari Text from Wild Images Through Image Processing Techniques
1 Introduction
2 Related Work
3 Methodology
3.1 Shirorekha Detection and Removal
3.2 Stroke Width Transform
3.3 Extremal Regions Detector
3.4 Text Recognition
4 Dependencies of the Proposed Approach
4.1 Experimental Setup
4.2 Dataset Description
5 Result and Analysis
6 Conclusion and Future Work
References
Dynamic Web with Automatic Code Generation Using Deep Learning
1 Introduction
2 Literature Review
3 Proposed Model
4 Image Model
5 Text Model
6 Decoder
7 Experiment
8 Result and Discussions
9 Conclusion and Future Work
References
Detection of Garbage Disposal from a Mobile Vehicle Using Image Processing
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Input
3.2 Vehicle Detection
3.3 Frame Extraction
3.4 Frame Analysis for Movement Detection
3.5 Detection of Garbage
4 Result Analysis
5 Conclusion and Future Work
References
Using Neural Network to Identify Forgery in Offline Signatures
1 Introduction
2 Related Work
3 Image Processing
3.1 Image Preprocessing
3.2 Feature Extraction
4 Model Training
4.1 Support Vector Machines (SVMs)
4.2 Artificial Neural Network
5 Result and Discussion
6 Conclusion
References
Analyzing the Impact of Age and Gender on User Interaction in Gaming Environment
1 Introduction
1.1 Types of Interaction
2 Literature Review
3 Methodology
3.1 Hypothesis
4 Experimentation
5 Result and Discussion
6 Conclusion
References
Analysis of Prediction Techniques for Temporal Data Based on Nonlinear Regression Model
1 Introduction
2 Literature Survey
3 Frequent Data Sets
4 Prediction Techniques
5 FIPM Based on Linear and Nonlinear Regression
6 FTPDS Based on Linear and Nonlinear Regression Model
7 Results Analysis
8 Conclusion
References
Robust Denoising Technique for Ultrasound Images Based on Weighted Nuclear Norm Minimization
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Results and Discussion
5 Conclusion
References
Comparison of Machine Learning Models for Airfoil Sound Pressure Prediction and Denoising for Airbots
1 Introduction
2 Related Works
3 Methodologies
4 Implementation Models and Results
4.1 Linear Regression
4.2 K-Nearest Neighbor Regressor
4.3 SVM Regressor
4.4 Random Forest Regressor
4.5 Model Training and Results
5 Conclusion and Future Work
References
Local Texture Features for Content-Based Image Retrieval of Interstitial Lung Disease Patterns on HRCT Lung Images
1 Introduction
2 Framework for CBIR System
2.1 Database Creation
2.2 Query Formation and Retrieval
3 Performance Metric
4 Results and Discussion
5 Conclusion
References
Multilevel Quantum Sperm Whale Metaheuristic for Gray-Level Image Thresholding
1 Introduction
2 Quantum Computing
3 Sperm Whale Algorithm
4 Proposed Multilevel Quantum Sperm Whale Metaheuristic
4.1 Qudit Encoding
4.2 Quantum Measurement
4.3 Quantum Rotation Gate
4.4 Quantum Disaster Operation
4.5 Operation of the Algorithm
5 Experimental Results
6 Discussions and Conclusion
References
Malaria Detection on Giemsa-Stained Blood Smears Using Deep Learning and Feature Extraction
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Proposed Technique
3.2 Input Parameters
3.3 Dataset Study
3.4 Implementation
3.5 Methods Used
4 Results
5 Conclusion
References
An Effective Instruction Execution and Processing Model in Multiuser Machine Environment
1 Introduction
2 Literature Review
2.1 Compiler-Based Instruction Execution
2.2 Machine Architecture
2.3 Modulo Scheduling
2.4 Data-Based Architecture
3 Methodology
3.1 Extended Unrolling Loop Model
3.2 Branched Instruction Execution and Processing Model
4 Results and Discussion
5 Conclusion and Future Work
References
Automatic 3D Reconstruction Detection System for Knee Osteoarthritis Based on K-Means Algorithm
1 Introduction
2 Related Works
3 Methodologies
3.1 Region Growing Method
3.2 K-Means Clustering Algorithm
4 The 3D Reconstruction Detection OA System Description
4.1 Preprocessing Phase
4.2 K-Means Based Knee Parts Segmentation Phase
4.3 3D Visualization Phase
5 Experimental Results
6 Conclusions and Future Work
References
Optimized Twin Support Vector Clustering in Transmission Electron Microscope of Cobalt Nanoparticles
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Twin Support Vector Machine Clustering
3.2 Particle Swarm Optimization Clustering
4 The Proposed Cobalt Clustering Approach
4.1 Preparations of Co NPs
4.2 Preprocessing Phase
4.3 Cobalt Segmentation Phase
4.4 Feature Extraction Phase
4.5 Hybrid PSO and TWSVC Clustering Algorithm Phase
5 Experimental Results
6 Conclusion and Future Work
References
Transfer Learning with a Fine-Tuned CNN Model for Classifying Augmented Natural Images
1 Introduction
2 Related Work
3 Data Sets
4 The Proposed Approach
4.1 Preprocessing
4.2 Data Augmentation
4.3 Transfer Learning
5 Experimental Result
6 Conclusions
References
Classification of Human Sperm Head in Microscopic Images Using Twin Support Vector Machine and Neural Network
1 Introduction
2 Materials and Methods
2.1 Data Preparation
2.2 Neural Networks
2.3 Support Vector Machines (SVMs)
3 The Proposed CAD System for Microscopic Sperm Head Images
3.1 Preprocessing Phase
3.2 Feature Extraction Phase
3.3 Feature Selection Based on Twin SVM Phase
3.4 Classification Phase
3.5 Evaluation Phase
4 Results and Discussion
5 Conclusions
References
Challenges of Big Data Visualization in Internet-of-Things Environments
1 Introduction
2 The State of Art
3 Data Visualization Methodologies
4 Data Visualization Benefits
5 Data Visualization Challenges
6 Conclusion and Future Works
References
Multiple Cyclic Swarming Optimization for Uni- and Multi-modal Functions
1 Introduction
2 Preliminary
2.1 The Whale Optimization Algorithm (WOA)
2.2 The Particle Swarm Optimization (PSO) Algorithm
3 The Proposed Multiple Cyclic Swarming Optimization Algorithm
4 Results and Discussion
5 Conclusion and Future Work
References
Author Index
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476023_1_En_22_Chapter_OnlinePDF
476023_1_En_23_Chapter_OnlinePDF
476023_1_En_24_Chapter_OnlinePDF
476023_1_En_25_Chapter_OnlinePDF
476023_1_En_26_Chapter_OnlinePDF
476023_1_En_27_Chapter_OnlinePDF
476023_1_En_28_Chapter_OnlinePDF
476023_1_En_29_Chapter_OnlinePDF
476023_1_En_30_Chapter_OnlinePDF
476023_1_En_31_Chapter_OnlinePDF
476023_1_En_32_Chapter_OnlinePDF
476023_1_En_33_Chapter_OnlinePDF
476023_1_En_34_Chapter_OnlinePDF
476023_1_En_35_Chapter_OnlinePDF
476023_1_En_36_Chapter_OnlinePDF
476023_1_En_37_Chapter_OnlinePDF
476023_1_En_38_Chapter_OnlinePDF
476023_1_En_39_Chapter_OnlinePDF
476023_1_En_40_Chapter_OnlinePDF
476023_1_En_41_Chapter_OnlinePDF
476023_1_En_42_Chapter_OnlinePDF
476023_1_En_43_Chapter_OnlinePDF
476023_1_En_44_Chapter_OnlinePDF
476023_1_En_45_Chapter_OnlinePDF
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476023_1_En_47_Chapter_OnlinePDF
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476023_1_En_50_Chapter_OnlinePDF
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476023_1_En_53_Chapter_OnlinePDF
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476023_1_En_55_Chapter_OnlinePDF
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476023_1_En_66_Chapter_OnlinePDF
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476023_1_En_68_Chapter_OnlinePDF
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476023_1_En_71_Chapter_OnlinePDF
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476023_1_En_73_Chapter_OnlinePDF
476023_1_En_74_Chapter_OnlinePDF
476023_1_En_75_Chapter_OnlinePDF
476023_1_En_76_Chapter_OnlinePDF
476023_1_En_77_Chapter_OnlinePDF
476023_1_En_BookBackmatter_OnlinePDF