Data Engineering and Applications

Contents
About the Editors
Machine Learning, Neural Networks, Evolutionary and Swarm Algorithms and Applications
Review of Methods for Handling Class Imbalance in Classification Problems
1 Introduction
1.1 Class Imbalance Problem
2 Review of Literature
3 Existing Solutions
3.1 Data-Level (i.e., Resampling) Methods
3.2 Algorithmic-Level Methods
3.3 Cost-Sensitive Learning
3.4 Deep Learning
4 Evaluation Metrics
5 Conclusion
References
Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students
1 Introduction
1.1 Purpose of EDM Research
1.2 Motivation
1.3 Research Objectives
1.4 Contributions
2 Proposed Work
2.1 System Overview
2.2 Methodology
3 Results Analysis
3.1 Experimental Objectives
3.2 Performance Parameters
3.3 Component Performance
3.4 Results Discussion
3.5 Student Course Material Recommendation
4 Conclusion and Future Work
4.1 Conclusion
4.2 Future Work
References
A Benchmarking Investigation of Evolutionary Algorithms to Resolve the COVID Sample Collection Problem
1 Introduction
2 Related Work
3 Distance Matrix and Pre-processing
3.1 Distance Matrix Creation
3.2 Multi-dimensional Scaling
3.3 Force Directed Graph Visualization
4 Study on Evolutionary Algorithms
4.1 Genetic Algorithms (GA)
4.2 Ant Colony Optimization
4.3 Spider Monkey
4.4 Particle Swarm Optimization (PSO)
5 Experimental Assessment and Discussions
5.1 Comparative Analysis of Algorithms
6 Conclusions
References
Using OpenNLP and GraalVM to Detect Sentences in Kubernetes While Comparing Helidon and Spring Boot’s Metrics
1 Introduction
2 Background and Related Work
3 Technologies and Tools Used
3.1 Apache OpenNLP
3.2 Helidon
3.3 Spring Boot
3.4 Apache JMeter
3.5 Docker
3.6 Kubernetes
3.7 Minikube
3.8 OpenJDK
3.9 GraalVM
3.10 Maven
4 Research Method
5 Results
6 Conclusion
References
An Efficient Hybrid Model to Summarize the Text Using Transfer Learning
1 Introduction
1.1 Extractive Text Summarizing
1.2 Abstractive Text Summarization
2 Literature Review
3 Proposed Approach and Implementation
3.1 Tokenization
3.2 Text Pre-processing
3.3 Dataset
3.4 Pre-processing
4 Result and Analysis
5 Conclusion
References
Automatic Detection of Learner’s Learning Style
1 Introduction
2 Literature Review
2.1 Methods and Models to Find Learning Style
3 Proposed System
3.1 Learning Style Prediction Algorithms
3.2 Accuracy Comparison
4 Results and Discussion
4.1 Evaluation Criterion
5 Screen Shots
6 Conclusion and Future Work
References
Construction of an Intelligent Knowledge-Based System Using Transformer Model
1 Introduction
2 Drawbacks of the Existing System
2.1 Existing System for Construction of Knowledge Base
2.2 Methods to Teach Dyslexic Students
3 System Architecture
3.1 Step by Step Implementation
4 Algorithm
4.1 Bidirectional Encoder Representations from Transformers (BERT)
4.2 Masked Language Model (MLM)
4.3 Next Sentence Prediction (NSP)
4.4 Named Entity Recognition (NER)
5 Results and Discussion
6 Conclusion
References
Machine Learning-Based Disease Diagnosis Using Body Signals: A Review
1 Introduction
2 Background Details
2.1 Telemedicine
2.2 Artificial Intelligence (AI)
2.3 Motivation
3 Machine Learning in Health Care
4 Diagnostic System
5 Literature Survey
6 Conclusion
References
Finite Difference and Finite Volume 1D Steady-State Heat Conduction Model for Machine Learning Algorithms
1 Introduction
2 Proposed Mathematical Model for ML
3 Finite Volume Method
4 Finite Difference Method
5 Implementation
6 Results and Discussions
7 Conclusion
References
Sign Language Detection Through PCANet and SVM
1 Introduction
1.1 PCANet Model
2 Related Work
3 Methodology
3.1 Image Acquisition and Pre-processing
3.2 Excerpt Hand Image and Segment
3.3 Extract Invariant Features
3.4 Training the Model with PCANet
3.5 Classification Using SVM
3.6 Sample Dataset
4 Implementation and Results
4.1 Dataset of US Fingerspelling
4.2 Accuracy of PCANet with Number of Filters
5 Conclusion
References
A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method
1 Introduction
1.1 A Brief Introduction to Turning Process
2 Experimentation Setup
2.1 CNC Lathe Machine
2.2 Workpiece
2.3 Machining Parameters
3 Methodology
3.1 Response Surface Methodology
4 JAYA Algorithm
5 Results and Discussion
6 Conclusion
References
Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning
1 Introduction
2 Literature Survey
3 Prediction of Coronary Heart Disease Using Hybrid Machine Learning Approach
4 Result Analysis
5 Conclusion
References
Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm
1 Introduction
2 Background of SSA
2.1 Binary SSA (BSSA)
3 Proposed Methodology
3.1 Levy Distribution Scheme
3.2 Feature Extraction Using Levy-Based SSA
4 Results and Discussions
5 Conclusion
References
Plant Disease Detection Using Machine Learning Approaches: A Review
1 Introduction
1.1 Pathogens’ General Taxonomic Groups
1.2 Host
1.3 Environment
2 Research Background
3 Related Work
4 Challenges
5 Conclusion
References
Copy–Move Forgery Detection Algorithm: A Machine Learning-Based Approach to Detect Image Forgery
1 Introduction
2 Literature Review
3 Machine Learning Model
3.1 Proposed Image Forgery Detection Using Machine Learning
4 Conclusion and Future Scope
References
A Machine Learning-Based Approach to Combat Hate Speech on Social Media
1 Introduction
2 Related Work
3 Proposed Work
3.1 Creation of Dataset
3.2 Proposed Method
3.3 Dimensionality Reduction
3.4 GridSearchCV and Pipeline
3.5 Data Classification
4 Result Analysis
5 Conclusion
References
Prediction of SARS-COVID-19 Based on Transfer Machine Learning Techniques Using Lungs CT Scan Images
1 Introduction
2 Related Work
3 Tools and Techniques
3.1 Data Augmentation
3.2 CLAHE
3.3 Convolutional Neural Network (CNN)
4 Proposed Model and Methods
4.1 Basics
4.2 Image Preprocessing
4.3 Model Formation and Implementation
5 Performance Measurement and Results
5.1 Training and Testing of Model
5.2 Performance Parameters
5.3 Results and Performance
6 Conclusion and Future Scope
References
Online Document Identification and Verification Using Machine Learning Model
1 Introduction
2 Functional Description
2.1 Description
2.2 Implementation Approach
2.3 SVM Model
2.4 Optical Character Recognition (OCR)
2.5 Backend Database
2.6 Streamlit
2.7 Implementation
3 System Performance
4 Conclusion and Future Scope
4.1 Conclusion
4.2 Future Scope
References
Mitigating Partial Shading Condition in PV System for MPPT Using Evolutionary Algorithms
1 Introduction
1.1 Problem Formulation
2 Designing of Photovoltaic (PV) System
2.1 PV Systems Bypass Diodes
2.2 In Standalone PV Module Various Parameters Used
2.3 PSC’s Impact on PV Systems
3 Perturb and Observe Method (Conventional)
4 GMPP Tracking Using PSO Algorithm
5 Cuckoo Search
6 Result and Discussion
7 Conclusion
References
Road Safety Modeling: Safe Road for All
1 Introduction
2 Related Work
3 Proposed Solution
4 Experimental Setup and Results
5 Comparative Analysis
6 Conclusion and Future Work
References
AI-Enabled Road Health Monitoring System for Smart Cities
1 Introduction
2 Related Work
3 Methodology
4 Simulation and Result
5 Conclusion
References
Multi-objective Biofilm Algorithm to Resolve Optimization Problems
1 Introduction
2 Similar Works
3 Multi-objective Biofilm Algorithm (MOBifi)
4 Implementation Details
5 Experimental Results and Analysis
6 Statistical Analysis
7 Conclusion
References
Comparative Analysis of Fake News Identification Using Machine Learning Methods
1 Introduction
2 Related Work
3 Issues and Future Research Direction
4 Methodology
4.1 Prepare Dataset
4.2 Basic Architecture of System
4.3 Model Building Techniques
5 Implementation
6 Result
6.1 Evaluation Parameters
7 Conclusion
References
A Review of Pre-processing Techniques for Weed-Plant Detection and Classification in Precision Agriculture
1 Introduction
2 Literature Survey
2.1 Publicly Available Datasets
2.2 Data Pre-processing Techniques
3 Findings of Literature Survey
4 Conclusions
5 Future Scope
References
Utilizing a Finger Vein in Biometric Authentication Mechanism
1 Introduction
1.1 Biometrics
1.2 Biometric Functionality
1.3 Finger Vein Recognition
2 Literature Survey
2.1 Techniques for Increasing Contrast in Dorsal Hand Vein Images
2.2 An Examination of Skeletonization and Thinning for Form
2.3 A New Method for Skeletonization Based on Connected Component Approach
3 Multimodal Biometric System Methodologies
3.1 MATLAB-Based Finger Vein Recognition for Authentication
3.2 Image Acquisition
3.3 Pre-Processing
3.4 Utilizing Repeated Line Tracking, Vein, and Knuckle Print Extraction
3.5 Fusion of Features Using FFF Optimization
3.6 Utilizing a Layered k-SVM Classifier for Recognition
4 Description and Result
4.1 Result
5 Summary and Future Work
References
An Empirical Analysis of Video Streaming and Congestion Control Models from a Pragmatic Perspective
1 Introduction
2 Literature Review
3 Statistical Analysis
4 Conclusion and Future Scope
References
Deep Learning and Applications
Latest Deep Learning Techniques for Fall Detection in Monitoring Real-Time Video Data
1 Introduction
2 Machine Learning Techniques (MLT)
2.1 Application of MLT for Fall Detection
3 Deep Learning Techniques (DLT)
3.1 Application of DLT for Fall Detection
4 Challenges for Fall Detection
5 Datasets for Fall Detection
6 Conclusion
References
A Computational Model to Analyze Human Motion Identification Through Gait Analysis Using CNN
1 Introduction
1.1 Application Area of Human Activity
1.2 Approach Used for Human Activity Identification
1.3 Type of Human Activity
2 Theoretical Detail of Dataset and Proposed Process
3 Proposed Methodology
4 Result and Discussion
5 Conclusion and Future Scope
References
License Number Plate Recognition Using Convolution Neural Network
1 Introduction
2 Literature Survey
3 Proposed Method and Results
4 Conclusion
References
Comparative Analysis of CNN and SVM Machine Learning Techniques for Plant Disease Detection
1 Introduction
2 Literature Reviews
3 Material and Methods
4 Result and Discussion
4.1 Development Tools
4.2 Model Accuracy
4.3 Performance Metrics of SVM and CNN
5 Conclusion
References
Forecasting Stock Price Using Time-Series Analysis and Deep Learning Techniques
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Description
3.2 ARIMA
3.3 Facebook Prophet
3.4 Recurrent Neural Networks
3.5 Long Short-Term Memory
3.6 CNN
4 Results and Discussion
5 Conclusion
References
Approaches for Sentiment Analysis on IMDB Movie Reviews
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Framework for Sentiment Analysis
4 Models’ Result
5 Conclusion
References
Deep Learning Model to Detect HTTP-Based Attack on Internet of Things
1 Introduction
2 Related Work
3 Data Preprocessing and Detection Model
3.1 Data Preprocessing
3.2 Detection Model
4 Design of Deep Learning
4.1 Architecture Design
4.2 Traffic Analyzer
4.3 Data Sources for Multiple Models
5 Experimental Evaluations
5.1 Training and Evaluation
5.2 System-Level Evaluation
6 Conclusion
References
A Review on Person Identification Using Periocular Biometrics
1 Introduction
2 Periocular Image Segmentation and Preprocessing Methods
3 Convolutional Neural Networks (CNNs)-Based Periocular Recognition
4 Performance Indicators for the Research on Peripheral Ocular Recognition
5 Conclusion
References
GCN and Non-negative Matrix Factorization-Based Community Detection Mechanism
1 Introduction
2 Related Work
2.1 Community Discovery Algorithm Based on NMF
2.2 Graph Convolutional Networks
3 Nonlinear Community Discovery Method NMFGCN
3.1 Problem Definition
3.2 NMFGCN Community Discovery Model
3.3 Loss Function Construction and Optimization
4 Experiment Analysis
4.1 Dataset
4.2 Evaluation Criteria and Parameter Setting
4.3 Experiment Results and Analysis of Artificial Synthetic Network
4.4 Real Network Experiment Results and Analysis
4.5 Validation of Joint Optimization Effect of NMFGCN
5 Conclusion
References
Self-attention and Transfer Learning-Based Clinical Recommendation System for Health Care
1 Introduction
2 Related Works
3 Relevant Knowledge
3.1 Self-attention Mechanism
3.2 Healthcare Recommendation
3.3 Transfer Learning
4 Self-attention Mechanism and Healthcare Transfer Network
4.1 Related Definitions
4.2 Word Vector Representation of Patient/Disease Review Aggregated Text
4.3 Self-attention Network
4.4 Healthcare Transmission Network
5 Experiment and Result Analysis
5.1 Dataset
5.2 Evaluation Index
5.3 Comparison Model
5.4 Experimental Setup
5.5 Experimental Results and Analysis
5.6 Effectiveness of Transfer Learning
5.7 Alleviating the Problem of Data Sparseness
6 Conclusion
References
Backpropagation-Based Deep Learning Model for Privacy-Preserving of Confidential Data
1 Introduction
2 Related Work
2.1 Neural Network
2.2 Asymmetric Encryption
2.3 Semantic Security
2.4 Secure Multi-Party Computation Protocol
3 Backpropagation Neural Network Learning Algorithm
4 Backpropagation Neural Network Learning Technique with Privacy Protection
5 Security Analysis of Algorithm BPNNL-PP
6 Evaluation and Analysis of Execution Efficiency
7 Evaluation and Analysis of Accuracy Error
8 Conclusion
References
A Survey on Feature Selection Methods in Sentiment Analysis
1 Introduction
2 Sentiment Analysis
3 Feature Selection
3.1 Filter Method
3.2 Wrapper Method
4 Feature Extraction
5 Classifier
6 Performance Analysis
7 Dataset
8 Discussion
9 Conclusion
References
Local Binary Patterns-Based Retinal Disease Screening
1 Introduction
2 Literature Survey
2.1 Dataset
3 System Analysis
3.1 Existing System
3.2 Proposed System
3.3 Architecture
4 System Implementation
4.1 Preprocessing
4.2 Filtering for Gabor
4.3 Canny Edge Detector
4.4 Hough Transform and Classification
5 Result and Discussion
6 Conclusions and Future Work
References
A Novel Iris Recognition System Development Using Convolutional Neural Network
1 Introduction
1.1 In-Depth Learning
2 Literature Survey
2.1 An Analysis of Fake Biometrics, Iris, Face, and Fingerprint Biometric Recognition Systems and Image Quality
3 Iris System Implementation
3.1 Purchasing the Image
3.2 Edge Recognition
3.3 Image Restoration
3.4 Student Data Extraction
3.5 Recognition of the Iris: Finding the Iris
3.6 Translation of Iris
3.7 Extraction of Iris Information
4 Conclusion
5 Future Work
References
Brain Tumor Classification and Identification Using PSO and Multi ANFIS
1 Introduction
2 Literature Review
3 Block Diagram
3.1 Study of MR Images
3.2 PSO Algorithm
3.3 Feature Extraction
3.4 Application of PSO on MR Image
3.5 Performance Evaluation
3.6 ANFIS with PSO
4 Results
5 Conclusion
References
Comparative Analysis of Deep Learning Approaches for Aspect-Based Sentiment Classification
1 Introduction
2 Preliminaries
2.1 Sentiment Analysis
2.2 Approach Classification for Sentiment Analysis
2.3 Levels of Granularities
2.4 Aspect-Based Sentiment Classification (ABSC)
2.5 Evaluation Metrics
3 Related Work
3.1 Literature Review Integration
4 Result and Discussion
4.1 Deep Learning Approaches for ABSA
4.2 Social Media or Network Used for ABSA
4.3 Metrics of Performance Evaluation
4.4 Domain Areas of ABSA
4.5 Performance Analysis of Approaches Used for ABSA
5 Conclusion
References
Fuzzy C-Means Algorithm for Heterogeneous Data Using Multiple Kernels
1 Introduction
2 Related Work
3 Proposed Algorithm
4 Results
5 Conclusion
References