Fourth Congress on Intelligent Systems: CIS 2023, Volume 1 (Lecture Notes in Networks and Systems, 868)

Preface
Contents
Editors and Contributors
A Simple Way to Predict Heart Disease Using AI
	1 Introduction
	2 Materials and Methods
	3 Data Handle
	4 Experiment and Results
	5 Conclusion
	References
Automating Dose Prediction in Radiation Treatment Planning Using Self-attention-Based Dense Generative Adversarial Network
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Dataset
		3.2 Data Loading and Preprocessing
		3.3 GAN
		3.4 Self-attention Gate
		3.5 Dense U-Net
		3.6 Hyperparameters
	4 Implementation
		4.1 Simple GAN
		4.2 Self-attention-Based GAN
		4.3 Dense GAN
		4.4 Self-attention-Based Dense GAN
	5 Results
	6 Conclusion and Future Work
	References
Track Learning Agent Using Multi-objective Reinforcement Learning
	1 Introduction
	2 Related Work
	3 Reinforcement Learning
		3.1 Single-Objective Reinforcement Learning (SORL)
		3.2 Multi-objective Reinforcement Learning (MORL)
	4 Methodology
		4.1 Pareto Q-Learning
		4.2 Architecture
	5 Implementation
		5.1 States, Actions, and Rewards
		5.2 Algorithm
		5.3 Tracks Used
	6 Results
		6.1 Reward-Episode Graph
		6.2 Crash-Episode Graph
		6.3 Axiomatic Metric for the Objectives
	7 Conclusion and Future Work
	References
Performance Assessment of Gaussian Filter-Based Image Fusion Algorithm
	1 Introduction
	2 Methodology
		2.1 Gaussian Filter
		2.2 Bilateral Filter
		2.3 Regional Variance Maximization (RVM)
		2.4 Local Contrast (LC)-Based Saliency Detection
		2.5 Image Fusion: Decomposition Model Based on Gaussian Filtering
		2.6 Experimental Data
	3 Experimental Results and Analysis
	4 Conclusion
	References
A Cognitive Comparative Analysis of Geometric Shape-Based Cryptosystem
	1 Introduction
	2 Literature Survey
	3 Taxonomy of Geometric Shape Cryptosystem
		3.1 Geometric Cryptosystem
	4 Comparative Analysis of Geometric Shape Cryptosystems
	5 Challenges
	6 Conclusion and Future Scope
	References
A Lesion Feature Engineering Technique Based on Gaussian Mixture Model to Detect Cervical Cancer
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Architecture
		3.2 Gaussian Mixture Model with Expectation Maximization Algorithm
		3.3 Proposed Algorithm—Lesion Recognition Algorithm
		3.4 Deep Learning (DL) Strategies
	4 Results
		4.1 Dataset
		4.2 Evaluation Metrics
		4.3 Experimental Environment
		4.4 Experimental Results
	5 Conclusion
	References
Energy Optimization of Electronic Vehicle Using Blockchain Method
	1 Introduction
		1.1 Background
	2 Literature Survey
	3 Research Methodology
	4 Result and Discussion
		4.1 Performance Analysis Parameters
	5 Conclusion
	References
Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals
	1 Introduction
	2 Sustainable Development
		2.1 Pattern Recognition
		2.2 Pattern Recognition and Artificial Intelligence
		2.3 Applications of Pattern Recognition
		2.4 Sustainable Development Through Pattern Recognition
		2.5 The Way Forward
	3 Social Implications
	4 Conclusion
	References
Novel Approach for Stock Prediction Using Technical Analysis and Sentiment Analysis
	1 Introduction
		1.1 Stock Market Analysis
	2 Technical Analysis
		2.1 Technology Overview for Stock Prediction
	3 Literature Review
	4 Novel Quality Stock Identification Model
	5 Abstract Model
		5.1 System Architecture
	6 Conclusion and Future Work
	References
Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces
	1 Introduction
	2 Related Work
	3 Definition of Concepts
		3.1 Definitions
		3.2 Method of Finding a Solution
		3.3 Algorithms
	4 Numerical Simulation
		4.1 Trial 1, with All Puzzles
		4.2 Trial 2, Attempting Unsolved Puzzles
		4.3 Trial 3, Attempting Remaining Unsolved Puzzles
	5 Conclusion
		5.1 Future Work
	References
An Approach to Increase the Lifetime of Traditional LEACH Protocol Using CHME-LEACH and CHP-LEACH
	1 Introduction
		1.1 Leach Protocol
		1.2 Challenges in UWSN
		1.3 Advantages and Disadvantages of Leach
		1.4 Network Lifetime Maximization Technique
	2 Literature Survey and Related Work
	3 The Proposed Routing Protocol
	4 Simulation Result
		4.1 Simulation Parameter
		4.2 Results
	5 Conclusion and Future Scope
	References
DenseMammoNet: An Approach for Breast Cancer Classification in Mammograms
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Preprocessing
		3.2 Transfer Learning
	4 Experiment
		4.1 Dataset
	5 Results and Discussion
	6 Conclusion and Future Work
	References
Aspect-Based Sentiment Classification Using Supervised Classifiers and Polarity Prediction Using Sentiment Analyzer for Mobile Phone Tweets
	1 Introduction
	2 Sentiment Analysis-Based Level Classification
	3 Aspect-Based Sentiment Analysis
	4 Applications of Aspect-Based Sentiment Analysis
	5 Issues in Aspect-Based Sentiment Analysis
	6 Research Objective
	7 Literature Survey
	8 Materials and Methods
	9 Tweets Preprocessing
		9.1 Aspect Categories Sentiment Classification
	10 Sentiment Analyzer
	11 Experimental Results and Discussion Tweets Preprocessing
	12 Results
	13 Performance Analysis
	14 Aspect Term Extraction
	15 Conclusion
	References
Microbial Metabolites and Recent Advancement
	1 Introduction
	2 Microbial Metabolites
		2.1 Primary Microbial Metabolites
		2.2 Secondary Microbial Metabolites
	3 Microorganism Growth
		3.1 Lag Phase
		3.2 Logarithmic (Log) Phase
		3.3 Stationary Phase
		3.4 Decline Phase
	4 Recent Advancement of Microbial Metabolites in Below Field
		4.1 Wastewater Treatment (WWT)
		4.2 Fermentation
		4.3 Cosmetics
		4.4 Antibiotics and Antimicrobial
		4.5 Marine Carbon Cycle
		4.6 Microbial Metabolites in Development of Gut Plethora
	5 Conclusion
	References
Design of a 3D-Printed Accessible and Affordable Robotic Arm and a User-Friendly Graphical User Interface
	1 Introduction
	2 Materials and Methods
		2.1 Robotics Arm Design
		2.2 Arm Manufacturing
		2.3 Software Implementation
	3 Results
		3.1 Testing Positioning’s Accuracy
		3.2 Testing Manipulation Capability
	4 Discussion and Conclusion
	References
Profit Maximization of a Wind-Integrated System by V2G Method
	1 Introduction
	2 Mathematical Design
	3 Objective Function
	4 Results and Discussions
	5 Conclusions
	References
Detection of Partially Occluded Area in Images Using Image Segmentation Technique
	1 Introduction
		1.1 Image Segmentation Techniques
		1.2 Types of Image Segmentation
	2 Related Work
	3 Methodology
		3.1 Understanding Mask R-CNN Basic Architecture
	4 Experiments and Results
		4.1 The Steps Involved in Mask R-CNN for Partially Occluded Area in Images
	5 Conclusion
	References
Application of IP Network Modeling Platforms for Cyber-Attack Research
	1 Introduction
	2 Related Work
	3 Platform, Research Methodology, and Used Tools
		3.1 Used Platform
		3.2 Study Methodology
		3.3 Used Tools
	4 Topology of the Experimental Network
	5 Results
	6 Conclusions
	References
Enhancing Information Integrity: Machine Learning Methods for Fake News Detection
	1 Introduction
	2 Literature Survey
	3 Classification Models
	4 Dataset
	5 Performance Metrics
	6 Proposed Methodology
	7 Experiments and Results
	8 Conclusion
	References
Optimum Selection of Virtual Machine in Cloud Using Improved ACO
	1 Introduction
		1.1 Need of LB in the Environment
	2 Related Works
	3 Background Formulation
		3.1 Virtual Machine Placement (VMP)
		3.2 Ant Colony System
		3.3 Ant Colony System—Pheromone
	4 Implementation and Results
		4.1 Pseudocode of the Projected Improved ACO Algorithm
		4.2 Pseudocode of the Scheduling-Based ACO Algorithm
	5 Conclusion and Future Work
	References
Data Imputation Using Artificial Neural Network for a Reservoir System
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Generative Adversarial Network
		3.2 Synthetic Model
		3.3 NSGA2
	4 Material
	5 Data Source and Study Area
	6 Results and Discussion
	7 Conclusion and Future Work
	References
Depth Multi-modal Integration of Image and Clinical Data Using Fusion of Decision Method for Enhanced Kidney Disease Prediction in Medical Cloud
	1 Introduction
	2 Related Work
	3 Data
		3.1 Clinical Data
		3.2 Feature Extraction and Classification
		3.3 Fusion Methodology
	4 Results
	5 Conclusions
	References
An Efficient Prediction of Obstructive Sleep Apnea Using Hybrid Convolutional Neural Network
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Signal Preprocessing
		3.2 Signal Segmentation
		3.3 Noise Filtering Using Two-Stage Median Filter
		3.4 Feature Extraction
		3.5 Minute-By-Minute Classification (Segment by Segment Classification)
	4 Results and Discussion
		4.1 Dataset Description
		4.2 Performance Metrics
		4.3 Performance Analysis of Sleep Apnea Classification
	5 Conclusion
	References
Bearing Fault Diagnosis Using Machine Learning and Deep Learning Techniques
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Feature Extraction
		3.2 Methodology
		3.3 Deep Learning-Based Feature Extraction
	4 Experimental Results and Analysis
		4.1 Dataset Collection and Description
		4.2 Result and Discussion
	5 Conclusion
	References
A Transfer Learning Approach to Mango Image Classification
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Classification Algorithm
		3.3 Methods
	4 Performance Measurement Phase
	5 Results and Discussion
	6 Conclusion
	References
A Comprehensive Review on Disease Predictions Using Machine Learning Approaches
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
	4 Evaluation Metrics and Discussion
	5 Conclusion
	References
Deriving Rectangular Regions Bounding Box from Overlapped Image Segments Using Labeled Intersecting Points
	1 Introduction
	2 Related Works
	3 Proposed Methodology
		3.1 Closed Graph Computation
		3.2 Corner Point Classification
		3.3 Edge Labeling
		3.4 Category-2 Extension
		3.5 Elimination of Spurious Points
		3.6 Label Merging
		3.7 Computing Bounding Box Coordinates
	4 Results and Discussion
		4.1 Dataset Details
	5 Conclusion
	References
Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction
	1 Introduction
	2 Related Works
		2.1 XGBoost
	3 Methods
		3.1 Original FA
		3.2 Genetically Inspired FA
	4 Experimental Setup
	5 Simulation Outcomes
	6 Conclusion
	References
Synthetic Fingerprint Generation Using Generative Adversarial Networks: A Review
	1 Introduction
	2 Approaches for Synthetic Fingerprint Generation
	3 Discussion
	4 Performance Evaluation of Synthetic Dataset Generated Through GAN
	5 Conclusions
	References
A Comparative Analysis of Data Augmentation Techniques for Human Disease Prediction from Nail Images
	1 Introduction
	2 Literature Survey
	3 Original Nail Image Dataset
	4 Augmenting Data Through Fundamental Manipulative Methods
	5 Augmenting Data Through Deep Learning Methods
	6 Results and Discussion
	7 Conclusion
	References
Prediction of Ionospheric TEC Using RNN During the Indonesia Earthquakes Based on GPS Data and Comparison with the IRI Model
	1 Introduction
	2 Methodology
		2.1 Data Collection
		2.2 Working of Recurrent Neural Network
		2.3 Working of LSTM in RNN
	3 Result and Discussion
		3.1 Prediction of TEC During the August 2004 EQ
		3.2 Prediction of TEC During the April 2012 EQ
		3.3 Prediction of TEC During the August 2012 EQ
		3.4 Comparison of RNN with IRI 2012
	4 Conclusion
	References
Deep Learning Model for Diagnosing the Severity of Diabetic Retinopathy
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Data Exploration
		3.2 Implementation
		3.3 Image Pre-processing
		3.4 Data Augmentation
		3.5 Network Architectures
		3.6 Training and Validation
		3.7 Testing
	4 Comparison of Networks
	5 Results and Discussion
	6 Conclusion
	References
Utilisation of Machine Learning Techniques in Various Stages of Clinical Trial
	1 Introduction
	2 Application of Machine Learning Algorithms in Various Stages of Clinical Trial
		2.1 Preclinical Study
		2.2 Participant Management
		2.3 Protocol Optimisation
		2.4 Clinical Data Management
	3 Conclusion
	References
Efficient PAPR Reduction Techniques and Performance of DWT-OFDM
	1 Introduction
		1.1 Basic Principles of OFDM
		1.2 PAPR of OFDM Signals
	2 FFT-Based OFDM
	3 Wavelet Decomposition Process
	4 Wavelet-Based OFDM
	5 PAPR in DWT-Based OFDM and FFT-Based OFDM Systems
	6 Proposed PAPR Reduction Techniques
		6.1 Search and Partial Interpolation
		6.2 Selected Mapping Combined with Search and Partial Interpolation
	7 Simulation Results
	8 Conclusion
	References
Machine Learning-Based Image Forgery Detection Using Light Gradient-Boosting Machine
	1 Introduction
	2 Literature Review
		2.1 Challenges
	3 Proposed Light-GBM for Forgery Detection
		3.1 Input
		3.2 Image/Video Preprocessing
		3.3 Feature Extraction
		3.4 Light-GBM for Forgery Detection
	4 Result and Discussion
		4.1 Experimental Setup
		4.2 Performance Analysis
		4.3 Comparative Analysis
	5 Conclusion
	References