Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications: ICAIAA 2022

528208_1_En_OFC
528208_1_En_BookFrontmatter_OnlinePDF
	Preface
	Contents
	About the Editors
528208_1_En_1_Chapter_OnlinePDF
	1 Prediction of Polycystic Ovary Syndrome (PCOS) Using Optimized Machine Learning Classifiers
		1 Introduction
		2 Literature Review
		3 Methodology
			3.1 Problem Definition
			3.2 Dataset Selection
			3.3 Data Cleaning
			3.4 Oversampling and Feature Selection
			3.5 Optimized Classifiers
			3.6 Comparison of Various Models
		4 Discussion and Results
		5 Conclusion and Future Work
		References
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	2 Literature Review: A Comparative Study of Software Defect Prediction Techniques
		1 Introduction
		2 Related Work
		3 Conclusion and Future Work
		References
528208_1_En_3_Chapter_OnlinePDF
	3 Crop Recommendation Using Machine Learning Algorithms and Soil Attributes Data
		1 Introduction
		2 Background and Related Work
			2.1 Precision Agriculture (PA)
			2.2 Recommendation Systems (RSs)
			2.3 Crop Recommendation (CR) Systems
			2.4 Evaluation Criteria
		3 Methodology
			3.1 Data and Features
			3.2 Machine Learning Algorithms
			3.3 Evaluation Parameters
		4 Results and Discussion
		5 Conclusion
		References
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	4 Application of Machine Learning Models to Improve the Accuracy of Earnings Management Prediction
		1 Introduction
		2 Literature Review
			2.1 Random Forest
			2.2 C5.0 Decision Tree
			2.3 ANN
		3 Research Gap
		4 Methodology
			4.1 Research Variables
		5 Analysis and Interpretation
			5.1 Variable Screening Using Random Forest
			5.2 C5.0 Decision Tree Model
			5.3 Artificial Neural Network
		6 Discussion and Implications
		7 Conclusion and Recommendations
		References
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	5 Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring
		1 Introduction
		2 Parametrized Quantum LSTM
		3 Proposed Framework for Ensemble of PQLSTM Models
		4 Experimental Results and Discussion
		5 Conclusion
		References
528208_1_En_6_Chapter_OnlinePDF
	6 Evolutionary Algorithms for Marine Dynamical Systems: Towards Sustainable Renewable Energy Harvesting from Offshore Environment
		1 Introduction
		2 Mathematical Model of BLDC Motors
		3 PID Control Algorithm
		4 Non-traditional Optimization Techniques
			4.1 GA—Genetic Algorithm
			4.2 Ant Colony Optimization
		5 Results and Discussions
		6 Closure
		References
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	7 Comparison of Different Swarm Based Nature Inspired Algorithm for Solution of Optimization Problem
		1 Introduction
		2 The Optimization Methods Studied
			2.1 Ant Colony Optimization (ACO)
			2.2 Particle Swarm Optimization (PSO)
			2.3 Grey Wolf Optimization (GWO)
			2.4 Grasshopper Optimizations
			2.5 Butterfly Optimization Algorithm (BOA)
			2.6 Cat Swarm Optimization (CSO)
		3 The Comparison of the Methods
		4 Comparison with Each Other and Limitation of Above Studied Algorithms
		5 Conclusion
		References
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	8 Assessment of firm’s Performance by Employing Text Mining Techniques
		1 Introduction
		2 Literature Review
		3 Research Gap
		4 Research Methodology
			4.1 Sentiment Analysis
			4.2 Readability
			4.3 Multiple Linear Regression
		5 Analysis and Interpretation
			5.1 Sentiment Scores for Chairman’s Speech
			5.2 Sentiment Scores for Management Discussion and Analysis
			5.3 Emotions for Chairman’s Speech
			5.4 Emotions for Management Discussion and Analysis
			5.5 Proportion of Emotions for Management Discussion and Analysis and Chairman’s Speech
			5.6 Readability of Chairman’s Speech & Management Discussion and Analysis
			5.7 Statistical Model for Chairman’s Speech
			5.8 Statistical Model for Management Discussion and Analysis
		6 Discussion and Implications
		7 Conclusion and Recommendations
		References
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	9 Decisions Prediction Techniques Using Language Processing and Learning Algorithms
		1 Introduction
		2 Literature Review
		3 Legal Concepts and Tools
		4 Methodology
		5 Natural Language Processing
		6 Machine Learning Techniques for Legal Analytics
		7 Performance Metrics of Algorithms Trained to Predict the Presence of References
		8 Conclusions
		References
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	10 Machine Learning-Based Tool to Classify Online Toxic Comments
		1 Introduction
		2 Problem Statement
		3 Related Work
		4 Proposed System
		5 Results
		6 Conclusion
		References
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	11 Pixel-Based Image Encryption Approaches: A Review
		1 Introduction
		2 Evaluation Metrics
			2.1 Statistical Analysis
			2.2 Differential Analysis
			2.3 Key Strength Evaluation
			2.4 Information Entropy Analysis
			2.5 NIST Tests for Randomness
			2.6 Encryption–Decryption Quality Measure
		3 Image Encryption Approaches
			3.1 Image Encryption Using Enhanced Conventional Methods
			3.2 Image Encryption Using Elliptic Curve
			3.3 Image Encryption Using Chaos
			3.4 Image Encryption Using Deep Neural Network
		4 Conclusion
		References
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	12 Predictive Model with Twitter Data for Predicting the Price Volatility of Cryptocurrencies Using Machine Learning Algorithms
		1 Introduction
		2 Literature Review
		3 Methodology
			3.1 Data Extraction
			3.2 Feature Selection
			3.3 Data Processing
			3.4 Database Creation
		4 Model Building
			4.1 Support Vector Machine
			4.2 Decision Tree
			4.3 Random Forest
			4.4 Model Evaluation
		5 Analysis and Discussion
		6 Conclusion and Scope for Further Research
		References
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	13 Recognition of Indian Sign Language Characters Using Convolutional Neural Network
		1 Introduction
		2 Related Work
		3 Materials and Methods Used
			3.1 Dataset Used
			3.2 Image Processing
			3.3 Deep Convolutional Neural Network
		4 Proposed Architecture
		5 Results and Discussion
			5.1 Train, Test, and Validation Sets
			5.2 Model Performance
			5.3 Testing
		6 Conclusion
		References
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	14 Effective Vehicle Classification and Re-identification on Stanford Cars Dataset Using Convolutional Neural Networks
		1 Introduction
		2 Related Works
		3 Methodology
			3.1 Dataset
			3.2 CNN Architecture for Vehicle Re-identification
			3.3 Training Procedure
			3.4 Testing Procedure
		4 Experimental Results and Discussion
			4.1 Hyper Parameter Metrics
			4.2 Performance Analysis on Stanford Cars Dataset
			4.3 Confusion Matrix
		5 Conclusion
		References
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	15 A Literature Review on Sentiment Analysis Using Machine Learning in Education Domain
		1 Introduction
		2 Related Work
			2.1 Methods
			2.2 Recent Advances
			2.3 Summary and Discussion
		3 Conclusion
		References
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	16 Deep Learning Approach for Segmenting and Classifying Knee Osteoarthritis Using MR Images
		1 Introduction
			1.1 Segmentation
			1.2 Classification
			1.3 Proposed Technique
		2 Proposed Technique for Segmenting and Classification of Knee OA
			2.1 Pre-processing of MR Image
			2.2 Segmentation Mask Generator
			2.3 Segmentation Model
			2.4 Knee OsteoArthritis Classification
		3 Results
		4 Conclusion
		References
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	17 Recognition of Handwritten Assamese Characters
		1 Introduction
		2 Related Work
		3 Methodology and Dataset
			3.1 Data Collection
			3.2 Digitalization and Normalization
			3.3 Preprocessing
			3.4 CNN/Classification
		4 Results and Discussions
		5 Conclusion and Future Scope
		References
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	18 Frequency Reconfigurable C Shape Substrate Integrated Waveguide Antenna for Cognitive Radio Application
		1 Introduction
		2 Antenna Design
		3 Simulation Result and Discussion
		4 Conclusion
		References
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	19 Handwritten Text Recognition for Regional Languages of Indian Subcontinent
		1 Introduction
		2 Methodology
			2.1 Features Extraction/Feature Selection Techniques
			2.2 Population Statistics of Speakers in India and World
		3 Gurumukhi Script
		4 Tamil
		5 Gujarati
		6 Kannada
		7 Malayalam
		8 Devanagari
		9 Conclusion
		References
528208_1_En_20_Chapter_OnlinePDF
	20 Image Denoising Using DT-CWT Combined with ANN and Grey Wolf Optimization Algorithm
		1 Introduction
		2 Methods
			2.1 DT-CWT’s Mathematical Model
			2.2 Artificial Neural Network
			2.3 Grey Wolf Optimization Algorithm (GWA)
		3 Proposed Method
		4 Results
		5 Conclusion
		References
528208_1_En_21_Chapter_OnlinePDF
	21 Automated Detection of Multi Class Lung Diseases Using Deep Learning with the Help of X-ray Chest Images
		1 Introduction
		2 Related Work
		3 Proposed System
		4 Methodolgy
			4.1 Dataset
			4.2 InceptionNet
			4.3 XceptionNet
			4.4 ResNet
			4.5 CPT Net
			4.6 Transfer Leraing
		5 Results and Analysis
		6 Conclusion and Future Scope
		References
528208_1_En_22_Chapter_OnlinePDF
	22 Classification of Electrocardiogram Using Color Images with Pixel Method by Deep CNN
		1 Introduction
		2 Methodology
			2.1 Types of ECG Signal for Classification
			2.2 ECG Signal Database
			2.3 ECG Signal to Image Conversion Using CWT
			2.4 Transfer Learning via AlexNet
		3 Result and Discussion
			3.1 Dataset
			3.2 Image Conversion from Dataset by CWT
			3.3 Trained and Calculation
			3.4 Confusion Matrix
		4 Conclusion and Future Work
		References
528208_1_En_23_Chapter_OnlinePDF
	23 Semi-automatic Vehicle Detection System for Road Traffic Management
		1 Introduction
			1.1 Related Work
			1.2 Selection of Virtual Grid Layers
			1.3 Background Subtraction
			1.4 Direction of Motion Detection
			1.5 Vehicle Counting
			1.6 Classification of Vehicles
		2 Results and Performance Evaluation
		3 Conclusion
		References
528208_1_En_24_Chapter_OnlinePDF
	24 FTIR-Based Characterization and Classification of Various Indian Monofloral Honey Samples
		1 Introduction
		2 Materials and Methods
			2.1 Preparation of Samples
			2.2 Data Acquisition Using NIR Spectrophotometer
		3 Data Pre-treatment and Chemometrics
			3.1 Preprocessing of Recorded Spectra
			3.2 Sample Classification
		4 Conclusion
		References
528208_1_En_25_Chapter_OnlinePDF
	25 A Surveillance Mobile Robot Based on Low-Cost Embedded Computers
		1 Introduction
			1.1 Security Robotic Systems
		2 Materials and Methods
			2.1 Controlling the Motors and The Ultrasonic Sensor (i.e., The Arduino Board)
			2.2 Controlling the Servo Motor of the Camera (i.e., The ESP32 Board)
			2.3 Raspberry PI, Buzzer and Camera
		3 Preliminary Tests and Results
		4 Discussion and Conclusion
		References
528208_1_En_26_Chapter_OnlinePDF
	26 Advance Plant Health Monitoring and Forecasting System Using Edge-Fog-Cloud Computing and LSTM Networks
		1 Introduction
		2 Related Works
		3 System Architecture
		4 Hardware and Embedded System
			4.1 Micro-processor and Micro-controllers
			4.2 Sensors and Actuators
			4.3 Working
		5 LSTM for Forecasting
		6 Result
		7 Conclusion
		References
528208_1_En_27_Chapter_OnlinePDF
	27 A Framework for Smart Agriculture System to Monitor the Crop Stress and Drought Stress Using Sentinel-2 Satellite Image
		1 Introduction
		2 Study Area and Data Used
			2.1 Study Area
			2.2 Data Used
		3 Methods and Approaches
			3.1 Pre-processing of Sentinel-2A Images
			3.2 Monitoring of Crop Stress and Drought Stress
			3.3 Analysis of Crop and Drought Stress in the Roorkee Region
		4 Role of Machine Learning in Agriculture Monitoring
			4.1 Proposed Framework of Smart Agriculture System
		5 Conclusion
		References
528208_1_En_28_Chapter_OnlinePDF
	28 A Review on Deep Learning Algorithms for Real-Time Detection of Multiple Vehicle-Based Classes: Challenges and Open Opportunities
		1 Introduction
			1.1 Merits and Motivation
		2 Literature Review
			2.1 Motion-Based Models
			2.2 Feature-Based Models
			2.3 Convolutional Neural Network-Based Models
			2.4 Related Work
		3 Discussions and Open Issues
		References
528208_1_En_29_Chapter_OnlinePDF
	29 Optimization of Resource Management for Workload Allocation in Cloud Computing
		1 Introduction
		2 Related Work
		3 Proposed System
			3.1 Enhanced Job Shop Optimization
		4 Conclusion
		References
528208_1_En_30_Chapter_OnlinePDF
	30 Evaluating Morphometric Feature Variability of Handwritten Numerals Among Malaysian Malays Using Self-organizing Maps
		1 Introduction
		2 Methodology
			2.1 Handwritten Numeral Data
			2.2 Statistical Analysis
		3 Results and Discussions
		4 Conclusion
		References
528208_1_En_31_Chapter_OnlinePDF
	31 Hesitant Fuzzy Sets Based TSK Model for Sentiment Analysis
		1 Introduction
		2 Preliminaries
			2.1 Fuzzy Set
			2.2 Hesitant Fuzzy Set
			2.3 Aggregation Operator for HFS
		3 Materials and Methods
			3.1 Collection of Data and Pre-processing
			3.2 Hesitant Fuzzy Set Based Sugeno Fuzzy Inference System
		4 Results and Discussion
		5 Conclusion
		References
528208_1_En_32_Chapter_OnlinePDF
	32 Toward a Better Model for the Semantic Segmentation of Remote Sensing Imagery
		1 Introduction
		2 Methodology
			2.1 Proposed Model
			2.2 Training of Network
			2.3 Dataset
			2.4 Metric
		3 Implementation
			3.1 Result Presentation
			3.2 Result
		4 Discussion
		References
528208_1_En_33_Chapter_OnlinePDF
	33 Sentimental Segregation for Social Media Using Lexicon Technology
		1 Introduction
		2 Motivation
		3 Need for Sentiment Analysis
		4 Analysis of Sentiments
		5 Existing Work and Methods Used with Twitter Datasets
		6 Proposed Method
		7 Twitter Selection
			7.1 Harvesting
			7.2 Data Cleaning
			7.3 Twitter Scraping and Performing Analysis
			7.4 Sentiment Lexicons
		8 Result
		9 Conclusion
		References
528208_1_En_34_Chapter_OnlinePDF
	34 Apply Rough Set Methods to Preserve Social Networks Privacy—A Review
		1 Introduction
			1.1 Issues of Privacy in Social Network
			1.2 Contributions and Paper Outline
		2 Social Network
			2.1 Represent Graph as Social Relations
			2.2 Represent Social Relations as Matrices
			2.3 Problem Definition
		3 Rs (Rough Sets)
			3.1 Notations and Definitions
			3.2 Rough Set Usages and Applications
			3.3 Equivalence Classes and Relations of Rough Sets in Social Network
		4 Privacy Preservation Models
			4.1 Existing Systems (Anonymization)
			4.2 Preserving Privacy in Social Networks by k-Anonymity with a Single Neighborhood
			4.3 Privacy Preserving in Social Networks with Binary Neighborhoods by k-anonymity
			4.4 Achieving Social Network Anonymity Using Rough Set Based Structural Equivalence
		5 Conclusion
		References
528208_1_En_35_Chapter_OnlinePDF
	35 System Development to Analyze Recruitment Process and Eligibility Criteria Using Machine Learning Algorithms
		1 Introduction
		2 Literature Review
		3 System Architecture
			3.1 Data Gathering
			3.2 Data Pre-processing
		4 Outlier Handling
			4.1 IQR Method
			4.2 Data Visualization
			4.3 Data Encoding
			4.4 Train, Test and Split
			4.5 Machine Learning Algorithms
		5 Result and Conclusion
		References
528208_1_En_36_Chapter_OnlinePDF
	36 Broadband SIW Cavity-Backed High Gain Slot Antenna
		1 Introduction
		2 Configuration and Design Analysis
		3 Evolution of the Proposed Structure
		4 Result and Discussion
		5 Conclusion
		References
528208_1_En_37_Chapter_OnlinePDF
	37 Private Browsing Does Not Affect Google Personalization: An Experimental Evaluation
		1 Introduction
		2 Methodology
			2.1 Dataset
			2.2 Procedure
			2.3 Measuring Personalisation
		3 Experimental Results
		4 Conclusion and Discussion
		References
528208_1_En_38_Chapter_OnlinePDF
	38 Spherical Fuzzy Parameterized Soft Set-Based Multi-criteria Decision-Making Method
		1 Introduction
		2 Preliminaries
			2.1 Limitations of IFPSS
		3 A Novel Construction Method for SFS from IFS
			3.1 Proposed SFPSS-Based MCDM Method
		4 Application of Proposed SFPSS-Based MCDM Method
		5 Comparison Analysis
		6 Conclusions
		References
528208_1_En_39_Chapter_OnlinePDF
	39 Enhanced Error Correction Algorithm for Streaming High Definition Video Over Multihomed Wireless Networks (MWN)
		1 Introduction
		2 Methodology
		3 Simulation Results
		4 Conclusion
		References
528208_1_En_40_Chapter_OnlinePDF
	40 Tumordc.AI: A Comprehensive Deep Learning-Based Brain Tumor Detection and Classification System
		1 Introduction
		2 Related Work
		3 Proposed Work
			3.1 Dataset
			3.2 Pre-processing
			3.3 CNN Architecture
		4 Results and Discussion
		5 Conclusion
		References
528208_1_En_41_Chapter_OnlinePDF
	41 Simulation of Density Based Traffic Control System Using Proteus 7.1 Professional
		1 Introduction
		2 Literature Survey
		3 Comparison with Latest Work
		4 Proposed Work
		5 Result and Discussion
		6 Conclusion
		References
528208_1_En_42_Chapter_OnlinePDF
	42 Security Enhancement Using Cryptography in Cloud-Based Education Portals
		1 Introduction
		2 Literature Review
		3 Security Enhancement in Cloud-Based Education Portal
		4 Results and Discussion
			4.1 Efficiency of the Proposed Mechanism
			4.2 Security of the Proposed Mechanism
		5 Conclusions
		References
528208_1_En_43_Chapter_OnlinePDF
	43 Feature Ranking Merging: FRmgg. Application in High Dimensionality Binary Classification Problems
		1 Introduction
		2 Background
		3 Proposal
		4 Experimentation
		5 Results
		6 Conclusions
		References
528208_1_En_44_Chapter_OnlinePDF
	44 Correlated Features in Air Pollution Prediction
		1 Introduction
		2 Related Work
			2.1 Curse of Dimensionality
			2.2 Feature Selection in Prediction of Air-Pollution
		3 The Proposed Methodology
			3.1 Correlation for Feature Selection
			3.2 Proposed LSTM Architecture
		4 Experimental Results
			4.1 Dataset
			4.2 Correlation Guided Feature Selection
			4.3 Prediction with LSTM
			4.4 Discussion
		5 Conclusion
		References
528208_1_En_45_Chapter_OnlinePDF
	45 Deep Learning-Based Condition Monitoring of Insulator in Overhead Power Distribution Lines Using Enhanced Cat Swarm Optimization
		1 Introduction
		2 Data Collection
		3 Methodology
			3.1 Convolution Neural Network (CNN)
			3.2 Deep Fusion Network
			3.3 Convolution Fusion Networks (CFN)
		4 Selection of Feature Using Enhanced Cat Swarm Optimization
			4.1 Seeking Mode
			4.2 Tracking Mode
		5 Results and Discussion
		6 Conclusion
		References
528208_1_En_46_Chapter_OnlinePDF
	46 Music Generation and Composition Using Machine Learning
		1 Introduction
		2 Literature Review
		3 Methodology
			3.1 Signal Gathering
			3.2 Feature Extraction
			3.3 F_score Correlation
			3.4 Feature Classification
		4 Result Analysis
			4.1 Parameters for Evaluating Performance
			4.2 Result Analysis
			4.3 Comparative State-of-Art
		5 Conclusion
		References
528208_1_En_47_Chapter_OnlinePDF
	47 Tumor Visualization Model for Determining Pathway in Radiotherapy
		1 Introduction
		2 Literature Survey
			2.1 Tumor Detection and Segmentation
			2.2 2D to 3D Modeling
		3 Dataset
		4 Methodology and Implementation
			4.1 Tumor Detection
			4.2 Tumor Segmentation and Contouring
		5 Results
			5.1 Tumor Detection
			5.2 Tumor Segmentation
		6 Conclusion and Future Scope
		References
528208_1_En_49_Chapter_OnlinePDF
	49 Emotional AI-enabled Interview Aid
		1 Introduction
		2 Literature Survey
		3 Methodology
			3.1 Dataset
			3.2 Preprocessing
			3.3 Training and Testing Datasets
			3.4 Model Construction
		4 Results
		5 Implementation
		6 Conclusion and Future Work
		References
528208_1_En_50_Chapter_OnlinePDF
	50 Skin Cancer Detection Using Convolutional Neural Networks and InceptionResNetV2
		1 Introduction
		2 Problem Statement
		3 Related Work
		4 Proposed System
			4.1 K-Fold Cross-Validation
			4.2 InceptionResNetV2
		5 Results
		6 Conclusion
		References
528208_1_En_51_Chapter_OnlinePDF
	51 Development of Thermocycler for On-Site Detection of Meat Authenticity and Microbial Contamination
		1 Introduction
		2 Materials and Methods
			2.1 4 × 4 Array Sample Holder
			2.2 Development of Thermocycler
			2.3 PID Temperature Controller
		3 Results and Discussions
		4 Conclusion
		References
528208_1_En_52_Chapter_OnlinePDF
	52 Augmented Reality-Based Smart Mobile Application to Make ASD Children Accustomed to Daily Challenges
		1 Introduction
		2 Methodology
		3 Literature Review
			3.1 Various Types and Symptoms
			3.2 Problems Regularly Faced by ASD Children
			3.3 Interactive System for Children with ASD
			3.4 Use of AR/VR in Education
			3.5 Various Ways to Introduce a Holistic AR Experience
			3.6 ASD in India
		4 User Study
			4.1 Telephonic Interviews
			4.2 Survey
			4.3 Conceptualisation of the System
		5 Ideation
			5.1 Defining the Audience
			5.2 System Framework
			5.3 Proposed Design Solution
		6 Prototype of the Proposed System
		7 Usability Testing
		8 Conclusion and Future Scope
		References
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	53 Performance Evaluation of Secured Containerization for Edge Computing in 5G Communication Network
		1 Introduction
		2 Containerization
			2.1 Kata Container
		3 Design of MEC Deployment Scenario
			3.1 Latency Evaluation
			3.2 Experimental Environment
		4 Experimental Results and Discussion
			4.1 Deployment Scenario
			4.2 Load Test
		5 Conclusion
		References
528208_1_En_54_Chapter_OnlinePDF
	54 An Optimal Monte Carlo Approach Related to Multidimensional Artificial Intelligence
		1 Introduction
		2 The Optimal Stochastic Approach
		3 Numerical Examples
		4 Conclusion
		References
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	55 Using Numerous Biographical and Enrolling Observations to Predict Student Performance
		1 Introduction
			1.1 Problem Statement
			1.2 Purpose Statement
			1.3 Related Work
			1.4 Methodology
			1.5 Results
			1.6 Contribution
		2 Related Work
		3 Research Methodology
			3.1 Data Collection and Sampling Methods
			3.2 Features
			3.3 Methods
		4 Results and Discussion
			4.1 Data Analysis
			4.2 Classification
			4.3 Interpretation
		5 Conclusion
		References
528208_1_En_BookBackmatter_OnlinePDF
	Author Index