Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2022 (Algorithms for Intelligent Systems)

✍ Scribed by Amar Ramdane-Cherif (editor), T. P. Singh (editor), Ravi Tomar (editor), Tanupriya Choudhury (editor), Jung-Sup Um (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 559
• Edition: 1st ed. 2023
• Category: Library

✦ Synopsis

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles―Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.

✦ Table of Contents

Preface
Contents
About the Editors
Blockchain Supported Sustainable Supply Chain in Industry 4.0
1 Introduction
2 Background
2.1 Blockchain
2.2 Sustainable Development
2.3 Industry 4.0
3 Sustainable Supply Chain
3.1 Green Supply Chain Practices
3.2 Improved Product Lifecycle
3.3 The Improved System and Operational Efficiency
3.4 Improved Monitoring and Reporting Sustainability
4 Use Cases of Blockchain
4.1 Lessening Bullwhip Effect
4.2 Producer Responsibility
4.3 Shipment and Transportation Tracking
4.4 Traceability of Food Safety and Recall
4.5 Blockchain and Its Adverse Effects
5 Discussion
6 Conclusion
References
COVID-19 Cases in India: A Study on the Effect of Weather Factors and Building the Forecast Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Problem Statement and Data Understanding
3.2 Methodology
4 Experiment and Result Analysis
4.1 Data Preprocessing
4.2 Exploratory Data Analysis
4.3 Model Building
5 Conclusion
References
A Review on Scheduling in Cloud Fog Computing Environments
1 Introduction
2 Fog Computing Characteristics
2.1 An Area on the Outskirts
2.2 Heterogenetic
2.3 Topographical Dissemination
2.4 Sensor Network on a Large Scale
2.5 Assistance with Mobility
3 Challenges of Cloud Computing
3.1 Information Security and Privacy
3.2 Management of Costs
3.3 Environments with Multiple Clouds
3.4 Execution Challenges
3.5 Interoperability and Flexibility
3.6 High Dependence on Network
4 Challenges of Fog Computing
4.1 Programming Models
4.2 Security and Reliability
4.3 Resource Management
4.4 Job Scheduling
5 Scheduling Techniques and Types
5.1 Scheduling Techniques
5.2 Scheduling Types
6 Literature Survey
7 Comparative Study
8 Conclusion
References
Simplifying Handwritten Medical Prescription: OCR Approach
1 Introduction
2 Literature Review on Optical Character Recognition
3 Solution Design and Methodology
4 Conclusion
References
Profiling the IPL Players—Sports Analytics Through Clustering Algorithms
1 Introduction
2 Literature Review
3 Objective
4 Methodology
4.1 Data Description
4.2 Process Flow
5 Analysis
6 Results
7 Managerial Applications
8 Methodological Limitations
9 Conclusion
References
Data Analytics in Operation Management
1 Introduction
2 Literature Review
2.1 Supply Chain Management (SCM)
2.2 Revenue Management
2.3 Inventory Management
2.4 Quality Management
2.5 Goods and Services
2.6 Scheduling
2.7 Maintenance
2.8 HR and Job Design
3 Location
4 Inventory Management
5 Revenue Management
5.1 Maintenance
6 Analysis
6.1 Supply Chain Management
6.2 Revenue Management
6.3 Inventory Management
6.4 Quality Management
6.5 Process Design
6.6 Location
6.7 Scheduling
6.8 Maintenance
6.9 HR and Job Design
6.10 Goods and Services
7 Consolidated Application of Data Analytics in Operation Management
8 Conclusion
References
Image Retrieval Technique Using Visual Features in Content-Based Image Retrieval System
1 Introduction
1.1 Literature Review
2 Methodology
2.1 Dataset
2.2 Visual Search Algorithm
3 Experimental Results
3.1 Parameters
3.2 Proposed Methodology Result
3.3 Comparison with Other Models
4 Conclusion and Future Scope
References
Intelligent Hybrid VLC/RF Communication Protocol for Train Data Transfer
1 Introduction
2 State of the Art
3 Common use Case Application
3.1 Hashing Algorithms
3.2 VLC Transmission Speed
4 Experimentations
5 Conclusion
References
Unmanned Aerial Vehicles Path Planning Based on an Enhanced Whale Optimization Algorithm
1 Introduction
2 UAV Path Planning Problem Formulation
2.1 Environment Representation
2.2 Objective Function
3 Preliminaries
3.1 Whale Optimization Algorithm
3.2 Quasi Reflection Opposition-Based Learning
4 Quasi Reflection Whale Optimization Algorithm for UAV Path Planning
5 Results and Discussions
6 Conclusion
References
Reviewing Scope of Multimodal Approach in Face and Iris Recognition
1 Introduction
1.1 Biometric
1.2 Biometric Authentication
1.3 Biometric Multimodal
1.4 Face Recognition
1.5 Iris Recognition
2 Literature Review
3 Problem Statement
4 Need of Research
5 Scope of Research
References
Applications of Deep Reinforcement Learning for Drug Discovery
1 Introduction
2 Literature Review
3 Drug Discovery Process
4 Deep Reinforcement Learning Model for Drug Discovery
5 Generative Model
6 Predictive Model
7 Reinforcement Learning Process
8 Policy Gradient
9 Reward Function
10 Feature Dataset
11 Conclusion
References
Deep Learning-Based Framework for URL Phishing Detection
1 Introduction
1.1 Various Approaches Used for the Detection of the Phishing Websites
2 Literature Review
2.1 Literature Survey of Papers
2.2 Research Gap Identified from the Literature Survey
3 Dataset Description
4 Working Methodology
4.1 EDA and Data Pre-processing
4.2 Dataset Balancing Performed
4.3 Feature Selection
4.4 Splitting of the Dataset
5 Model Description
5.1 Random Forest (Bagging Based Classification Technique)
5.2 Perceptron
5.3 ANN (Artificial Neural Network)
5.4 Experimental Setup
5.5 Important Terminologies for Deep Neural Networks
5.6 Proposed Method
5.7 Model Performance Analysis
6 Conclusion and Future Work
6.1 Limitations/Challenges of Detection of Phishing Website Detection
6.2 Future Work
References
Machine Learning-Based Prototype Design for Rainfall Forecasting
1 Introduction
2 Literature Review
2.1 Literature Survey of Papers
3 Working Methodology
3.1 Preprocessing
3.2 Undersampling
3.3 Oversampling
3.4 Feature Selection
4 Result Analysis
5 Conclusion and Future Work
References
BERT Based Language Identification in Code-Mixed English-Assamese Social Media Text
1 Introduction
2 Relevant Work
3 Approach
3.1 Dataset details
3.2 BERT Based Neural Network Model
4 Experiment Details
5 Results and Discussion
6 Conclusion
References
Enhanced White Shark Optimization Algorithm for the Mesh Routers Placement Problem with Service Priority in Wireless Mesh Networks
1 Introduction
2 MRP Problem Formulation
3 Preliminaries
3.1 White Shark Optimization (WSO) Algorithm
3.2 Roulette Fitness Balance Distance (RFDB)
4 Roulette Fitness Distance Balance White Shark Optimization (RFDB-WSO) for the MRP Problem with Service Priority in WMNs
5 Simulation Results
5.1 Effect of Varying the Number of MCs
5.2 Effect of Varying the Number of MRs
6 Conclusion
References
Wearable Technologies for Health: Investigating Behavioral Intention to Adopt Cloud-Based Smartwatch
1 Introduction
1.1 Cloud-Based Smartwatches (C-BSW)
1.2 Cloud-Based Smart Bands
1.3 Heartbeat Rate
1.4 Calorie Counter
1.5 Sleep Monitor
1.6 Revolutionary Pedometer
1.7 Blood Oxygen Level
1.8 Breathing Monitor
1.9 Drinking Water and Handwash Reminder
2 Literature Review and Hypotheses
2.1 Technology Acceptance Model (TAM)
2.2 Perceived Usefulness
2.3 Perceived Ease of Use
2.4 Attitude and Behavioral Intention
2.5 Health Benefits
2.6 Habit
2.7 Social Influence
3 Methodology
3.1 Sample and Data Collection Procedure
3.2 Variable Measures and Method of Analysis
4 Results and Discussion
4.1 Assessment of Measurement Model
5 Managerial Implications
6 Limitations and Scope for Further Research
7 Conclusion
References
Comparison of ML Algorithms for Heart Disease Detection
1 Introduction
1.1 Heart
1.2 Machine Learning
2 Datasets Used
3 Related Work
4 Proposed Model
5 Result and Conclusion
References
Subsurface Lithology Classification Using Well Log Data, an Application of Supervised Machine Learning
1 Introduction
2 Overview of the Study Area and Data Used
3 Methodology Adopted
4 Data Interpretation and Modeling Results
4.1 Pre-model Preparation Data Overview
4.2 Evaluating ML Model
5 Conclusion
References
Using Blockchain in Pharmaceutical Industry to Prevent Vaccine Counterfeiting
1 Introduction
2 Related Work
3 Challenges Toward Vaccine Distribution and Administration
3.1 Counterfeiting of Vaccines
3.2 Temperature-Controlled Storage
3.3 Quality Assurance
3.4 Administration of the Vaccine
3.5 Post-Launch Challenges
4 Methodology and Implementation
4.1 Blockchain
4.2 Vaccine Distribution
4.3 Vaccine Administration and Verification
4.4 Vaccine Supply Blockchain
5 Results
6 Conclusion and Future Work
References
Reviewing Metaverse: Applications, Challenges, and Integration with Other Technologies
1 Introduction
2 Related Work
3 Applications
3.1 Metaverse in Healthcare
3.2 Metaverse in Gaming
3.3 Metaverse in Education
3.4 Metaverse and Metaeconomics
3.5 Metaverse in Tourism
4 Relationship of Metaverse with Other Technologies
4.1 Metaverse Empowered with Blockchain
4.2 Metaverse and Artificial Intelligence
4.3 Metaverse and Internet of Things (IoT)
5 Challenges
5.1 Privacy and Security
5.2 Scalability
5.3 Social Issues
5.4 Health Concerns
5.5 Interoperablity
6 Conclusion
References
Smart D: An IoT-Based Smart Dustbin for Better Waste Management
1 Introduction
2 Background
3 Problem Statement
4 Components Used
5 Methodology
6 Circuit Diagram
7 Algorithm
8 Prototype Cost
9 Applications
10 Conclusion
References
Blockchain-Based Framework for Indian Retail Market in SMEs
1 Introduction
2 Related Work
3 Technical Background
4 Challenges Faced by Retail Sector
5 Proposed Conceptual Framework
5.1 User Interaction Layer
5.2 Execution Layer
5.3 Bidding Layer
5.4 Block Mining Layer
5.5 Consortium Layer
6 Conclusion
References
Comparative Analysis of Heart Disease Prediction Using Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Data Preprocessing
3.3 Train and Split Data
3.4 Machine Learning Algorithm
4 Results and Discussion
4.1 Confusion Matrix
4.2 Recall
4.3 F1 Score
4.4 Accuracy
5 Conclusion
References
Extensive Review on Automatic Plant Leaf Disease Detection Using Image Analytics
1 Introduction
2 Literature Review
3 Review Table
4 Conclusions
References
A Hash Based Feature Extraction Strategy for Vector Size Reduction in Text Sentiment Analysis
1 Introduction
2 Related Study
3 Motivation
4 Proposed Methodology
4.1 Data Acquirement
4.2 Data Pre-processing, Cleaning and Amalgamation
4.3 Tokenization of the Data
4.4 Lemmatization
4.5 Corpus Formation
4.6 Feature Extraction
5 Conclusion
References
ARM-FT Autonomic Randomized Cloudlet Management Through Fault Tolerance
1 Introduction
2 Recent Development in Cloudlet Management
3 Working of ARM-FT
3.1 Workloads
3.2 Service Manager
3.3 ARM-FT
3.4 Cloudlets
4 Experimental Results and Discussion
5 Conclusion
References
A Bibliometric Analysis of Autonomic Cloud Computing
1 Introduction
2 Review of Literature
3 Methodology
4 Results and Analysis
4.1 Analysis Based on Citations
4.2 Analysis Based on Co-authorship of Authors
4.3 Analysis Based on Country
4.4 Analysis Based on Keywords
4.5 Analysis Based on Organization
5 Conclusion
References
Analyzing the Online Customer Post-purchasing Behavior: Sentimental Analysis Approach
1 Introduction
2 Review of Literature
3 Statement of the Problem
4 Objective of the Study
5 Methodology
6 Extraction and Selection of Data
7 Analysis
7.1 Word Frequency
7.2 Word Cloud Generation
7.3 Word Association
7.4 Sentiment Scores
7.5 Three Vectors—Comparisons
7.6 Findings
7.7 Conclusion
7.8 Managerial Implications
References
Synergizing Open Geospatial Data from Cloud Platform and Machine Learning (ML) Algorithms in Open Source Environment for Crop Yield Estimation
1 Introduction
2 Related Studies
3 Material and Methods
3.1 Experimental Site
3.2 Data Used
3.3 Methodology
4 Results
5 Conclusion
References
Comparative Analysis of Music Genre Classification Framework Based on Deep Learning
1 Introduction
2 Literature Review
3 Methodology
3.1 Audio Signal Processing
3.2 Pre-processing and Feature Extraction
3.3 Deep Learning Techniques
4 Implementation of the Proposed Deep Learning Models
4.1 Convolutional Neural Networks
4.2 Recurrent Neural Networks
5 Results and Discussion
5.1 Datasets
6 Conclusion
6.1 Future Works
References
Image Quality Evaluation of Various Pan-Sharpening Techniques Using Landsat-8 Imagery
1 Introduction
2 Study Area
3 Methodology
3.1 Pan-Sharpening Algorithms
3.2 Image Quality Evaluation of Pan-Sharpening Techniques
4 Results and Discussion
4.1 Qualitative Analysis
4.2 Quantitative Analysis
5 Conclusion
References
Statistical Machine Learning in Loan Analysis from Financial Institutions
1 Introduction
2 Literature Review
3 Machine Learning Techniques in Loan Analysis
3.1 Logistic Regression
3.2 K-Nearest Neighbour (KNN)
3.3 Naive Bayes
3.4 Decision Tree
4 Results Analysis
4.1 Data Preprocessing
4.2 Statistical Analysis
4.3 Machine Leaning Results
5 Conclusion
References
Security-Aware Efficient Multi-tenant Cloud Environment
1 Multi-tenancy in Cloud Computing
1.1 Types of Tenancy
1.2 Benefits of Multi-tenancy
1.3 Limitations of Multi-tenancy
2 SLA Aware Multi-tenant Secure Cloud Environment
2.1 SLA and Role of SLA in Multi-tenant Cloud Environment
2.2 Constituents of Cloud-Based SLA
2.3 Experimental Setup for SLA-Aware Multi-tenant Environment
3 Virtual Machine Consolidation to Provide a Secure Cloud Environment
3.1 Security-Aware Virtual Machine Migration Using Performance Matrices
3.2 Host Machine Configuration Parameters
3.3 Virtual Machine Configuration Parameters
3.4 Comparison of Power Consumption with Virtual Machine Migration
3.5 Comparison of Vulnerability Level with Number of Migration
4 Conclusion and Future Scope
References
Hybrid Approach for Classification of Medical Imaging Data Using Machine Learning Techniques
1 Introduction
2 Related Work
3 Proposed Work
4 Results and Observations of Chest X-ray Pneumonia Dataset
5 Conclusion and Future Work
References
Deep Learning Based World Coin Currency Detection
1 Introduction
2 Literature Survey
3 Deep Learning Fundamentals
3.1 Convolutional Neural Network
3.2 MobileNet V2
4 Methodology and Experimental Setup
5 Dataset
6 Result Analysis
7 Conclusion and Future Scope
References
Hybrid Framework for Genomic Data Classification Using Deep Learning: QDeep_SVM
1 Introduction
2 Related Works
3 The Quantum-Inspired Immune Clone Optimization (QIICO) Algorithm
4 Classification Methods
4.1 Support Vector Machine (SVM)
4.2 Deep Convolutional Neural Network
4.3 Hybrid SVM Based DCNN for Gene Expression
5 Experimental Results and Discussion
6 Conclusion
References
Agricultural Drought Assessment of a Canal Command Area Using Space and Ground Observation. A Case Study of Tons Pump Canal Command
1 Introduction
2 Related Works
3 Materials
3.1 Study Area
3.2 Data Available
4 Methodology
4.1 Methodology Adopted for the Study and Software Used
4.2 Remote Sensing Data
4.3 Multiple Linear Regression Models (MLR) and Square of Correlation Coefficient
4.4 Drought Range of Land Surface Water Index (LSWI) and Normalized Difference Vegetation Index (NDVI)
5 Results and Discussion
5.1 Vegetation Moisture Detection Employing Satellite Indices
5.2 Detection of Vegetation from Satellite-Based Indices
5.3 Development of Multiple Linear Regression Models (MLR)
5.4 Square of Correlation Coefficient
5.5 A graphical portrayal of drought threshold of Land Surface Water Index (LSWI) and Normalized Difference Vegetation Index (NDVI) for the year 2021–2022 in Tons Pump Canal
5.6 Drought Classification of NDVI & LSWI for Each Month
5.7 Validation of LSWI with Canal Discharge
6 Conclusion
References
Assessing Irrigation Performance of a Canal Command Area Using Space and Ground Observation. A Case Study of Belan Canal, Prayagraj
1 Introduction
2 Related Works
2.1 Study Area
2.2 Climate
3 Methodology
3.1 Methodology Adopted for the Study
3.2 Fao Penman–Monteith Equation
3.3 The Energy Balance Equation
3.4 Evaluation of the Irrigated Areas’ Performance Based on Actual Evapotranspiration
3.5 Process of Selecting Performance Indicators
3.6 Process of Selecting Performance Indicators for the Study Area
3.7 Required Data
4 Results and Discussions
4.1 Irrigation Performance Assessment
5 Conclusion
References
Twitter-Based Disaster Response Framework Using ELECTRA Transformer
1 Introduction
2 Related Work
2.1 Shallow Methods
2.2 Deep Learning Methods
2.3 Transformers-Based Methods
3 Methodology
3.1 Problem Statement
3.2 Efficiently Learning an Encoder That Classifies Token Replacements Accurately (ELECTRA)
4 Dataset and Experimental Setup
4.1 Dataset
4.2 Experimental Setup and Hyperparameter Tuning
5 Experimental Results and Analysis
6 Conclusion
References
Tumor-Type Detection Using Machine Learning Algorithm on Gene Expression Cancer RNA-Seq Dataset
1 Introduction
2 Related Works
3 Proposed Work
4 Result
4.1 Naïve Bayes Algorithm
4.2 Other Classifiers
5 Discussions
6 Conclusion
References
Proactive Fault Prediction and Tolerance in Cloud Computing
1 Introduction
1.1 Fault Tolerance in Cloud Computing
1.2 Objectives
2 Literature Survey
2.1 The Major Contribution of the Work
3 Proposed System
3.1 Architecture Diagram
3.2 Methodology
3.3 Workflow Diagram
3.4 Modules Involved
4 Implementation
4.1 Dataset Description
4.2 Task Scheduling Using Round Robin Algorithm
4.3 Fault Prediction Using Multi-layer Perceptron
4.4 Evaluation Metrics
4.5 Selection of Optimal Virtual Machine Using Best Fit Algorithm
5 Results and Analysis
6 Conclusion and Future Work
References
Object-Based Vegetation Mapping in the Sundarbans Using Machine Learning Techniques and Earth Observation Data
1 First Section
2 Study Area
3 Related Work
4 Methodology
5 Result and Discussion of NDVI Analysis
6 Conclusion
References
Author Index