Third International Conference on Image Processing and Capsule Networks

Name: Third International Conference on Image Processing and Capsule Networks | ICIPCN 2022
Brand: Springer
Price: 255.73 EUR
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ICIPCN 2022

Joy Iong-Zong Chen João Manuel R. S. Tavares Fuqian Shi(Editor)

Springer (Publisher)

Published on 28. July 2022

XV, 841 pages

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978-3-031-12413-6 (ISBN)

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This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings.
Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.

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Content

Intro
Preface
Contents
Brain-Inspired Spatiotemporal Feature Extraction Using Convolutional Legendre Memory Unit
1 Introduction
1.1 Neuromorphic Computing
2 Related Works
3 Proposed Convolutional LMU Model
4 Synthetic Dataset and Evaluation Measures
5 Results and Analysis
6 Conclusion
References
Underwater Image Enhancement Using Image Processing
1 Introduction
1.1 Problem Statement
2 Literature Survey
3 Methodology
4 Architecture
5 Conclusion
References
Fake News Detection on Indian Sources
1 Introduction
2 Related Works
3 Proposed Solution
3.1 Dataset
3.2 Data Cleaning
3.3 Data Analysis
3.4 Text Preprocessing and Text Transformation
3.5 Model
3.6 Testing
4 Results
5 Use Cases
6 Future Works
7 Conclusion
References
Exploring Self-supervised Capsule Networks for Improved Classification with Data Scarcity
1 Introduction
2 Related Work
2.1 Functionality of Capsule Networks
2.2 Self-supervision and Capsule Networks
2.3 Pretrained Capsule Networks
3 Methods
3.1 Data Set
3.2 Capsule Network Model
3.3 Self-supervision
4 Results and Discussion
4.1 Data Scarcity
4.2 Learning Behaviour of the Self-supervised CapsNet
4.3 Data Scarcity and Imbalance
4.4 Correlation of Pretext and Downstream Accuracy
5 Conclusion
References
A Novel Architecture for Improving Tuberculosis Detection from Microscopic Sputum Smear Images
1 Introduction
2 Literature Review
3 Methodology
3.1 Preprocessing
3.2 Mask Generation Using SegZNet Architecture
3.3 Data Augmentation
3.4 UNet Segmentation
4 Result and Discussion
5 Conclusion
References
TapasQA - Question Answering on Statistical Plots Using Google TAPAS
1 Purpose
2 Previous Work
3 Methodology
3.1 Dataset
3.2 Pipeline
4 Major Research Findings
4.1 Questions Handled by Our Model
4.2 Training Details
4.3 Evaluation Metric
5 Result Implications
5.1 Plot Element Detection Stage
5.2 Table Question Answering (QA) Stage
6 End-To-End Example
7 Value and Limitations
8 Conclusion and Future Work
References
Face Sketch-Photo Synthesis and Recognition
1 Introduction
2 Related Work
3 Research Gap
4 Data
4.1 CUFS Dataset
4.2 CelebA Dataset
4.3 ORL Dataset
5 Tools and Experimental Settings
6 Proposed Methodology
6.1 Face-Sketch Synthesis
6.2 Face-Photo Synthesis
6.3 Facial Recognition
7 Results
7.1 Face-Sketch Synthesis
7.2 Face-Photo Synthesis
7.3 Facial Recognition
8 Evaluation
8.1 Face-Sketch Synthesis
8.2 Face-Photo Synthesis
8.3 Facial Recognition
9 Conclusion
10 Future Work
References
Toward Robust Image Pre-processing Steps for Vehicle Plate Recognition
1 Introduction
2 The Proposed Deskew Approach
3 Performance Evaluation
4 Conclusion
References
Multi-focus Image Fusion Using Morphological Toggle-Gradient and Guided Filter
1 Introduction
2 Preliminaries
2.1 Toggle Contrast Operator
2.2 Spatial Frequency
2.3 Guided Filter
3 Proposed Method
3.1 Morphological Toggle-Gradient Based Focus Measure
3.2 Composite Focusing Criterion (CFC) and Initial Decision Map
3.3 Final Decision Map and Fusion
4 Experimental Results and Discussion
4.1 Execution Setup
4.2 Subjective Evaluation
4.3 Fusion on Synthetic Source Pairs
5 Conclusion
References
Security Enhancement of Fog Nodes in IoT Networks Using the IBF Scheme
1 Introduction
2 Related Works
3 IBE Based Fog Computing
3.1 Identity Based Encryption Using BF Scheme
4 Results and Discussion
5 Conclusion
References
Automatic Recognition of Plant Leaf Diseases Using Deep Learning (Multilayer CNN) and Image Processing
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Flowchart of the Methodology
3.2 Training the Model
4 Result and Discussion
4.1 Statistical Analysis
4.2 Accuracy Graph
4.3 Confusion Matrix
4.4 Comparison of Result with Other Models
5 Conclusion
References
Comparative Analysis of Feature and Intensity Based Image Registration Algorithms in Variable Agricultural Scenarios
1 Introduction
2 Literature Review
2.1 Overview of Feature-Based Image Registration Algorithms
2.2 Overview of Intensity-Based Image Registration Algorithms
3 Experiments and Results
3.1 Experimental Setup
4 Results and Discussion
5 Conclusion and Future Scope
6 Supplementary Material
References
Non-invasive Diagnosis of Diabetes Using Chaotic Features and Genetic Learning
1 Introduction
2 Related Work
3 Proposed Work
3.1 Extraction of Chaotic Geometry Features
3.2 Genetic Learning
4 Experimental Evaluation
5 Conclusion
References
Analytic for Cricket Match Winner Prediction Through Major Events Quantification
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Modeling Instantaneous Strength
3.2 Modeling Real Time Efficency (RTE)
3.3 Parameter Modeling (BSP)
3.4 Parameter Modeling (EBS)
4 Experimental Analysis
5 Conclusion
References
An Investigation of COVID-19 Diagnosis and Severity Detection Using Convolutional Neural Networks
1 Introduction
2 Convolutional Neural Networks - An Overview
3 Literature Survey
4 Numerical Comparison Analysis and Discussions
5 Conclusion
References
An Efficient Key Frame Extraction from Surveillance Videos for Real-World Anomaly Detection
1 Introduction
2 Related Works
3 Proposed Work
4 Results and Discussion
5 Conclusion
References
The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm
1 Introduction
2 Preliminaries and Related Work
2.1 XGBoost Model
2.2 Swarm Intelligence
3 Proposed Method
3.1 The Original Sine-Cosine Algorithm (SCA)
3.2 The Enhanced Sine-Cosine Algorithm (ESCA)
3.3 Proposed eSCA-XGBoost Model
4 Experiments and Comparative Analysis
5 Conclusion
References
Developing a Tool to Classify Lethal Weapons by Analyzing Images
1 Introduction
2 Related Work
3 System Architecture and Design
3.1 Dataset Description
3.2 Data Preprocessing
3.3 VGG16 Model Implementation
3.4 Customized Model Implementation
4 Implementation and Experimental Result
4.1 Experimental Setup
4.2 Implementation
4.3 Performance Evaluation
4.4 Comparison with Other Existing Frameworks
5 Conclusion
References
Selfie2Business - An Application to Identify Objects and Recommend Relevant Service Providers
1 Introduction
2 Literature Review
3 Dataset
3.1 Data Pre-processing
4 Methodology
4.1 Selfie Detector
4.2 Object Detector
4.3 Search Query Listing
5 Results
5.1 Selfie Detection
5.2 Object Detection
6 Discussion
7 Conclusions and Future Work
References
A Systematic and Novel Ensemble Construction Method for Handling Data Stream Challenges
1 Introduction
1.1 Methods for Producing Data Streams
1.2 Major Issues Related to Data Streams Handling
1.3 Types of Data Drifts
2 Methods to Handle Data Stream Issues
2.1 Preprosessing of Data Stream
2.2 Dealing with Data Drifts: Drift Handling Methods
2.3 Ensemble Designed
3 Proposed Method
4 Result Analysis
4.1 Experimental Setup
4.2 Results Discussion
5 Conclusion and Future Research Work
References
Survey on Various Performance Metrices for Lightweight Encryption Algorithms
1 Introduction
2 Literature Survey
3 Performance Metrices for Lightweight Encryption Algorithms
3.1 Hardware Performance Metrices
3.2 Software Performance Metrices
4 Conclusion
References
A Hybrid Approach to Facial Recognition for Online Shopping Using PCA and Haar Cascade
1 Introduction
2 Literature Survey
3 Methodology
4 Implementation
4.1 Admin
4.2 User
4.3 Cart
4.4 Input Design
4.5 Output Design
5 Experimental Results
6 Conclusion
References
Analysis of IoT Cloud Security Computerization Technology Based on Artificial Intelligence
1 Introduction
2 Mobile Robot Path Planning Method
2.1 Global Strategy for Path Planning
2.2 Artificial Intelligence Robot's Environments
3 IoT-Based Systems Security Model
4 A Machine Learning-Based Survey on IoT Security
5 IoT-Cloud Security Issues
6 Challenges in the IoT Cloud
7 IoT, AI, and Software Intelligence in the Smart Home
8 IoT, AI, and Software Intelligence in the Smart Home
9 Network Protection
10 Network Security Stored Difficulty in Understanding Investigation System Software Installation Core Tech
10.1 Software Development
10.2 Hardware Development
11 Conclusion
References
Artificial Intelligence Based Real Time Packet Analysing to Detect DOS Attacks
1 Introduction
2 Literature Survey
3 Implementation
3.1 Experimental Setup
3.2 Data Pre-processing
3.3 Dataset
3.4 Feature Extraction
3.5 Model Creation, Training and Testing
4 Results and Discussion
5 Conclusion
References
Decision Trees and Gender Stereotypes in University Academic Desertion
1 Introduction
2 State of the Art
2.1 Gender Stereotype
2.2 Regarding Desertion
2.3 Predictive Models
3 Methodology
4 Results
5 Conclusion
6 Future Research Work
References
Exploring Public Attitude Towards Children by Leveraging Emoji to Track Out Sentiment Using Distil-BERT a Fine-Tuned Model
1 Introduction
2 Literature Review
2.1 Sentiment Analysis
2.2 Child Sentiment Analysis
2.3 Emoji and Child Sentiment Analysis in Bengali
2.4 Emoji and Child Sentiment Analysis in English
3 Methodology
3.1 Data Collection
3.2 BERT Model
3.3 DistilBERT Model
3.4 FastText Model
3.5 Glove+CNN Model
3.6 Parameter Tuning for Models
4 Result Discussion
5 Conclusion
6 Future Works and Limitations
References
Real Time Classification of Fruits and Vegetables Deployed on Low Power Embedded Devices Using Tiny ML
1 Introduction
2 Literature Survey
3 Design of Proposed System
3.1 ESP 32 Cam
3.2 Building a Classifier Model
4 Experimental Setup
4.1 Analysis of the Classifier with 17 Classes
4.2 Analysis of Classifier with 7 Classes
4.3 Real Time Inferencing from ESP32
5 Conclusion
References
A Deep Neural Networks-Based Food Recognition Approach for Hypertension Triggering Food
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Dataset and Image Augmentation
3.2 CNN Based Models
3.3 Experiments
4 Result and Discussion
5 Conclusion
References
Novel 1D and 2D Convolutional Neural Networks for Facial and Speech Emotion Recognition
1 Introduction
2 Related Work
3 Proposed Work
3.1 RAVDESS Dataset
3.2 Feature Extraction for Audio Dataset
3.3 Model Architecture
4 Experimental Results
5 Conclusion
References
Performance Evaluation of Morphological Features in Ear Recognition
1 Introduction
2 Adopted Methodology
2.1 AMI Ear Dataset
2.2 University of Sheffield and CP Ear Dataset
3 Experimental Results
4 Discussions and Guidelines
5 Conclusions
References
GQNN: Greedy Quanvolutional Neural Network Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Proposed Design Overview
3.2 Classical CNN Models
4 Experimental Results and Analysis
4.1 Experimental Setup
4.2 Results Analysis
4.3 Generalization of Model
5 Conclusion
References
Opinion Mining from Student Feedback Data Using Supervised Learning Algorithms
1 Introduction
2 Literature Survey
3 Methodology
4 Working
5 Results and Discussion
6 Conclusion and Future Scope
References
Blind Assistance System Using Machine Learning
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Limitation
4 Methodology and System Design
4.1 Object Detection
4.2 Converting the Detected Object into Text
4.3 Depth Estimation
5 Implementation
5.1 Anchor Box
5.2 Zoom Level
5.3 Depth Estimation
5.4 Voice Estimation
6 Result and Discussion
6.1 Test
6.2 Result
7 Conclusion
References
Detection of EMCI in Alzheimer's Disease Using Lenet-5 and Faster RCNN Algorithm
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 System Architecture
3.2 Module Description
4 Implementation
4.1 Lenet-5 Algorithm
4.2 Faster RCNN Algorithm
5 Result and Analysis
6 Conclusion and Future Work
References
Smart Farming Using Data Science Approach
1 Introduction
2 Literature Survey
3 Empower Farmer
4 COP Diseases
5 Climate Change
6 Innovation
7 Data Based-Solution
8 Implementation Issue
9 Agriculture Niches
10 Yield Prediction
11 Impact
12 System Module
13 Data Investigation of Agriculture
14 IoT in Agriculture
15 Robotics in Digital Farming
16 Implementation
17 Conclusion
References
A Survey on Different Methods of Detecting Rheumatoid Arthritis
1 Introduction
2 Detection Using Statistical Analysis
3 Detection Using Image Dataset
3.1 Machine Learning
3.2 Deep Learning
4 Conclusion
References
Co-F I N D: LSTM Based Adaptive Recurrent Neural Network for CoVID-19 Fraud Index Detection
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Processing
3.2 Training Parameter
3.3 LSTM-RNN Model Estimation with the Parameters
3.4 Embeddings
3.5 LSTM Model Analysis
3.6 RNN Model Analysis
4 Results and Discussion
5 Conclusion and Future Work
References
Human Posture Estimation: In Aspect of the Agriculture Industry
1 Introduction
1.1 Background
1.2 Objectives
2 Related Work
3 System Architecture and Design
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Information Extraction
3.4 Posture Categorization
4 Implementation and Experimental Result
4.1 Experimental Setup
4.2 Implementation
4.3 Performance Evaluation
5 Conclusion
References
A Survey on Image Segmentation for Handwriting Recognition
1 Introduction
1.1 Applications of Image Segmentation
2 Background Study
2.1 Optical Character Recognition (OCR)
2.2 Levels of Image Segmentation for Handwriting Recognition
3 Literature Survey
4 Challenges in Image Segmentation for Handwriting Recognition
5 Performance Metric Evaluation for Handwriting Recognition
6 Conclusion and Discussion
References
Backpropagation in Spiking Neural Network Using Reverse Spiking Mechanism
1 Introduction
2 Literature Survey
3 The Rudiments of SNN
3.1 Leaky Integrate and Fire (LIF) Neuron
3.2 Feedforward
3.3 Rate Coding
3.4 Latency Coding
3.5 Temporal Coding
3.6 Spiking Neural Network Model (SNN)
3.7 Advantages of Spiking Neural Networks
3.8 Energy Efficient Than Traditional Neural Network
4 Backpropagation Using Reverse Spiking Mechanism
4.1 Backpropagation in ANN
4.2 Backpropagation in SNN
5 Conclusion
References
Smart City Image Processing as a Reflection of Contemporary Information Codes
1 Introduction
2 Smart City as a Core of Modern Media Services and Information Solutions
3 E-government in a Smart City. Regulation of Services
4 The Ruli Service as Integrated Part of Smart City Image Processing
5 Conclusion
References
Clinical Decision Support System Braced with Artificial Intelligence: A Review
1 Introduction
2 Clinical Decision Support System
3 Early-Stage Working of CDSS Using AI
4 Current Trends in CDSS Using AI
5 Challenges for AI-Enabled CDSS
5.1 Transparency
5.2 Accountability
5.3 Consent to Use
5.4 Safety
5.5 Privacy
5.6 Liability
5.7 Regulatory Responsibility
6 Discussion and Conclusion
References
An Extensive Study on Machine Learning Paradigms Towards Medicinal Plant Classification on Potential of Medicinal Properties
1 Introduction
2 Related Work
2.1 Analysis of the Feature Extraction Techniques
2.2 Analysis of the Feature Extraction Techniques
2.3 Feature Fusion Technique
2.4 Analysis of the Feature Selection Techniques
2.5 Analysis of the Classification Techniques- Feature Classification
3 Tabular Representation of the Machine Learning Models for Medicinal Plant Classification
4 Outline of the Proposed Research Framework for Medicinal Plant Classification Through Mobile Application
5 Conclusion
References
Medical Imaging a Transfer Learning Process with Multimodal CNN: Dermis-Disorder
1 Introduction
2 Literature Review
3 Methodology
4 Result Discussion
5 Conclusion and Limitation
References
Medchain for Securing Data in Decentralized Healthcare System Using Dynamic Smart Contracts
1 Introduction
2 Related Work
3 Existing System
4 Medchain Based Secured Framework
4.1 Smart Contract Key Generation
4.2 Metamask Integration
4.3 Creation of Smart Contracts with Heuristics Rule Based Conditions in the Web Application
4.4 Smart Contract Development
4.5 Development of Intelligence Service for Information Sharing Using Service
5 Performance Analysis
6 Conclusion
References
Multipurpose Linux Tool for Wi-Fi Based Attack, Information Gathering and Web Vulnerability Scanning Automations
1 Introduction
2 Related Work
2.1 SQL Injection
2.2 Wi-Fi Module
3 Methodology
3.1 Adaptive Random Testing (ART)
3.2 Docker
4 Framework
5 Analysis
6 Conclusion and Future Works
References
Customer Engagement Through Social Media and Big Data Pipeline
1 Introduction
1.1 Analysis of Data Pipeline Technology
1.2 Benefits of Data Pipeline for Customer Engagement
2 Methods and Materials
3 Results
4 Discussion
5 Conclusion
References
Performance Analysis of CNN Models Using MR Images of Pituitary Tumour
1 Introduction
2 Related Work
3 Proposed Research
4 Methodology
4.1 MRI Dataset
4.2 MRI Data-Pre-processing
4.3 Data Distribution
4.4 Cropping of MRI Images
4.5 Image Resizing and Augmentation
5 CNN Model Architecture
5.1 VGG-16
5.2 Inceptionv3
5.3 ResNet50
6 Performance Metrics
7 Results and Discussions
8 Conclusion
References
Detection of Facebook Addiction Using Machine Learning
1 Introduction
2 Literature Review
3 System Architecture
4 Research Methodology
5 Feature and Data Description
5.1 Feature Selection
5.2 Data Collection and Preprocessing
6 Experimental Evaluation
7 Comparative Analysis of Results
8 Conclusion and Future Plans
References
Mask R-CNN based Object Detection in Overhead Transmission Line from UAV Images
1 Introduction
2 Related Work
3 The Proposed Model
3.1 CNN in Object Detection
3.2 Region Based Convolutional Neural Network (RCNN)
3.3 Target Detection Using Template Matching
3.4 A Mask R-CNN-Based Target Detection Method
3.5 Mask R-CNN Combined with Instance Segmentation
4 Results and Discussions
4.1 Validation and Visualization of mAP
4.2 Loss Function in Mask R-CNN
5 Conclusion
References
Insights into Fundus Images to Identify Glaucoma Using Convolutional Neural Network
1 Introduction
2 Proposed Methodology
2.1 Insights to CNN Architecture
2.2 Dataset Description
2.3 Experimental Set-Up
3 Results and Discussions
4 Conclusion
References
An Implementation Perspective on Electronic Invoice Presentment and Payments
1 Introduction
2 Related Work
3 The Process of Order to Cash Cycle
4 The Proposed Electronic Invoice Presentment and Payment
4.1 Electronic Invoicing Application
5 Result and Future Work Discussion
References
Multi-model DeepFake Detection Using Deep and Temporal Features
1 Introduction
2 Literature Survey
3 Purpose and Practical Implications
4 Methodology
4.1 Data Collection
4.2 Data Preprocessing
4.3 Model Creation
5 Major Research Findings and Observations
6 Research Limitations and Future Works
7 Conclusion
References
Real-Time Video Processing for Ship Detection Using Transfer Learning
1 Introduction
2 Literature Survey
3 Preparing the Dataset
3.1 Dataset
3.2 Annotation
3.3 LabelImg
3.4 Partition the Dataset
3.5 Label Map
3.6 TFRecords
4 Architecture
4.1 MobileNet-v2
4.2 Single Shot Detector (SSD)
5 Configuring a Training Pipeline
6 Object Detector
6.1 Training the Model
6.2 Evaluating the Model
6.3 Exporting Trained Model
6.4 Object Detection with Saved Model
7 Evaluation Results
8 Conclusion and Future Scope
References
Smart Shopping Using Embedded Based Autocart and Android App
1 Introduction
2 Literature Survey
3 Existing System
4 Proposed Work
5 Flow Chart
6 Working Methadology
7 Result
8 Conclusion
9 Future Scope
References
Gastric Cancer Diagnosis Using MIFNet Algorithm and Deep Learning Technique
1 Introduction
1.1 Problem Statement
2 Literation Review
3 Proposed Methodology
3.1 Gastric Cancer Dataset Collection
3.2 Dataset Preprocessing
3.3 Image Annotation
3.4 MIFNet Algorithm Training
3.5 Validation and Evaluation
4 Algorithm
5 Result and Output
6 Conclusion
References
Cold Chain Logistics Method Using to Identify Optimal Path in Secured Network Model with Machine Learning
1 Introduction
2 Literature Survey
3 Proposed Work
4 Results and Discussion
5 Conclusion
References
Brain Tumor Image Enhancement Using Blending of Contrast Enhancement Techniques
1 Introduction
2 Literature Survey
2.1 Image Enhancement
2.2 Comparative Study of Existing System
3 Materials and Methods
3.1 Image Enhancement
3.2 Performance Metrics
4 Results and Discussion
5 Conclusion
References
Flower Recognition Using VGG16
1 Introduction
2 Related Work
3 System Architecture and Design
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Dataset Initializing
3.4 Model Building
3.5 Model Testing
4 Proposed Method
5 Implementation and Experimental Setup
5.1 Experimental Setup
5.2 Implementation
5.3 Performance Evaluation
5.4 Comparison with Other Existing Frameworks
6 Conclusion
References
A Smart Garbage System for Smart Cities Using Digital Image Processing
1 Introduction
2 Literature Review
3 Proposed Model
4 Result
5 Conclusion
References
A Productive On-device Face Authentication Architecture for Embedded Systems
1 Introduction
2 Literature Review
3 Methodology
3.1 Design of Face Recognition
3.2 Deep Face Recognition
3.3 Dataset
3.4 Face Security Techniques
3.5 Deployment Techniques
4 Experimental Evaluation
4.1 Setup
4.2 Implementation
4.3 Results
4.4 Discussion
4.5 Comparison with Different Architectures and Parameters
5 Future Scope and Conclusion
References
An Analysis on Compute Express Link with Rich Protocols and Use Cases for Data Centers
1 Introduction
2 Protocols
2.1 CXL.io
2.2 CXL.cache
2.3 CXL.mem
3 Devices
3.1 Type - 1
3.2 Type - 2
3.3 Type - 3
4 Security
4.1 RAS
5 Discussion
6 Future Work
7 Conclusion
References
Stability Investigation of Ensemble Feature Selection for High Dimensional Data Analytics
1 Introduction
2 Related Work
2.1 Stability Measure Tanimoto Distance
2.2 Stability Measure Hamming Distance
2.3 Stability Measure Kuncheva's Consistency Index
2.4 Stability Measure Pearson's Correlation Coefficient
2.5 Stability Measure Jaccard Index
3 Experimental Setup and Datasets
4 Proposed Systems SA-SU-R and SA-ChS-R
5 Conclusions
References
Pneumonia Prediction on X-Ray Images Using CNN with Transfer Learning
1 Introduction
2 Materıals and Methods
3 Experımentatıon
4 Results
5 Conclusion
References
Big Data Distributed Storage and Processing Case Studies
1 Introduction
1.1 Volume
1.2 Velocity
1.3 Variety
2 Background
3 Big Data Approach and Techniques
3.1 Distributed Systems
3.2 CAP Theorem
3.3 Best Possible Segmented Consistency and Availability
3.4 MapReduce
3.5 Cassandra
4 Implementation
4.1 Implementation of Access Log Analyzer
4.2 Implementation of Selected Use Cases
5 Conclusion and Future Work
References
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Third International Conference on Image Processing and Capsule Networks

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