Proceedings of World Conference on Artificial Intelligence: Advances and Applications: WCAIAA 2023 (Algorithms for Intelligent Systems)

Preface
Contents
About the Editors
1 A Pragmatic Study of Machine Learning Models Used During Data Retrieval: An Empirical Perspective
	1 Introduction
	2 Literature Review
	3 Pragmatic Analysis and Comparison
	4 Conclusion and Future Scope
	References
2 Smart Knowledge Management for IT Services
	1 Introduction
	2 Literature Review
	3 Objective
	4 Methodology
		4.1 Business Understanding
		4.2 Problem Description
		4.3 Proposed Solution
	5 Data Understanding and Preparation
	6 Data Modeling and Evaluation
		6.1 Modeling
		6.2 Evaluation
	7 Deployment, Analysis, and Results
	8 Conclusion and Future Scope
	References
3 Patient-Centric Electronic Health Records Management System Using Blockchain Based on Liquid Proof of Stake
	1 Introduction
		1.1 Blockchain
		1.2 Cryptography
		1.3 InterPlanetary File System (IPFS)
	2 Literature Review
	3 Proposed Model
	4 Conclusion
	References
4 AI Driving Game Changing Trends in Project Delivery and Enterprise Performance
	1 Introduction
	2 Motivation of the Study
	3 Organization Trends
	4 Contribution of AI
	5 Literature Review
	6 Areas of Application of AI in Project Management
	7 Conceptual Framework
	8 Methodology
		8.1 Hypothesis
		8.2 Analysis and Discussion
		8.3 Limitations of the Study
	9 Impact on Project Managers
	10 Conclusion
	References
5 Prediction of Children Age Range Based on Book Synopsis
	1 Introduction
	2 Review of Literature
	3 Proposed System
		3.1 Data Collection
		3.2 Data Cleaning
		3.3 Splitting of Dataset
		3.4 Feature Extraction
		3.5 Classification Models
	4 Results
		4.1 KNN
		4.2 SVM
		4.3 XGBoost
		4.4 MLP
	5 Conclusion and Future Recommendations
	References
6 Predicting Credit Card Churn Using Support Vector Machine Tuned by Modified Reptile Search Algorithm
	1 Introduction
	2 Background and Related Works
		2.1 Support Vector Machine (SVM)
		2.2 Swarm Intelligence
	3 Proposed Method
		3.1 Original Reptile Search Algorithm
		3.2 Modified RSA
	4 Experiments and Discussion
		4.1 Dataset Description
		4.2 Experimental Setup and Solutions Encoding
		4.3 Results and Discussion
	5 Conclusion
	References
7 Comparison of Deep Learning Approaches for DNA-Binding Protein Classification Using CNN and Hybrid Models
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Classification Models
	4 Result and Discussion
	5 Conclusion
	References
8 Exploring Jaccard Similarity and Cosine Similarity for Developing an Assamese Question-Answering System
	1 Introduction
	2 Related Study
	3 Background
		3.1 Tokenization
		3.2 Stop Word Removal
		3.3 Cosine Similarity
		3.4 Jaccard Similarity
	4 Proposed Work
	5 Pre-processing
	6 Establishment of Relationship
		6.1 Jaccard Similarity
		6.2 Cosine Similarity
	7 Experiments
		7.1 Data Preparation
		7.2 Experimental Setup
		7.3 Result and Analysis
		7.4 Comparison Between English Chatbot and AQAS
	8 Conclusion and Future Work
	References
9 Artificial Neural Network Modelling for Simulating Catchment Runoff: A Case Study of East Melbourne
	1 Introduction
	2 Study Area
	3 Methodology
		3.1 Description of Datasets
		3.2 Datasets Preprocessing
		3.3 Data Normalisation
		3.4 Development of ANN Model
	4 Results and Discussion
	5 Future Works
	6 Conclusion
	References
10 Effective Decision Making Through Skyline Visuals
	1 Introduction
	2 Related Work
	3 Visualizing the Skyline
		3.1 Skyline Visuals
		3.2 Creating the Skyline Visuals
	4 Conclusion and Future Scope
	References
11 A Review Paper on the Integration of Blockchain Technology with IoT
	1 Introduction
	2 Literature Review
	3 Background
		3.1 Internet of Things
		3.2 Architecture of IoT
		3.3 Applications of IoT
		3.4 Security Aspects of IoT
		3.5 Attacks and Vulnerabilities in IoT
	4 Blockchain Technology
		4.1 Types of Blockchain
		4.2 Structure of Blockchain
	5 Integration of Blockchain and IoT
		5.1 Blockchain Solution to IoT
		5.2 Blockchain Scalability to IoT
		5.3 Security in Blockchain and IoT
		5.4 A Comparative Study
	6 Conclusion
	References
12 Survey and Analysis of Epidemic Diseases Using Regression Algorithms
	1 Introduction
	2 Literature Review
		2.1 Dengue
		2.2 Influenza
		2.3 Malaria
		2.4 COVID-19
		2.5 Impact of Dengue, Malaria, and Influenza on COVID-19
	3 Data and Methods
	4 Conclusion and Future Work
	References
13 Hybrid Pre-trained CNN for Multi-classification of Rice Plants
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Dataset Description
		3.2 Preprocessing
		3.3 Classification
	4 Results and Discussions
	5 Conclusion
	References
14 Cauliflower Plant Disease Prediction Using Deep Learning Techniques
	1 Introduction
	2 Study on Plant Disease Prediction
	3 Merits and Demerits of an Existing Method
	4 Analysis and Performance Comparisons
	5 Conclusion
	References
15 Disease Detection and Prediction in Plants Through Leaves Using Convolutional Neural Networks
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
	4 Implementation
	5 Experiments and Results
	6 Conclusion
	References
16 Classification of Breast Cancer Using Machine Learning: An In-Depth Analysis
	1 Introduction
	2 Several Levels of Classification
		2.1 Data Acquisition: Techniques for the Accumulation of Information
		2.2 Data Preprocessing or Image Preprocessing
		2.3 Segmentation
	3 Features Extraction and Selection
		3.1 Features Selection
		3.2 Classification Using Machine Learning Algorithms
	4 Literature Review
	5 Conclusion and Discussion
	References
17 Prediction of Age, Gender, and Ethnicity Using Haar Cascade Algorithm in Convolutional Neural Networks
	1 Introduction
	2 Method
		2.1 VGG Model
		2.2 CNN Model
	3 Proposed System
		3.1 Implementation
		3.2 Preprocessing
		3.3 System Architecture
	4 Results and Discussion
		4.1 Transfer Learning Using VGG Face Model
		4.2 Three Convolution Layer Model
		4.3 Four Convolution Layer Model
		4.4 Five Convolution Layer Model
		4.5 Output Images and Classification
	5 Conclusion
	References
18 Augmentation of Green and Clean Environment by Employing Automated Solar Lawn Mower for Exquisite Garden Design
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Introduction
	4 Components Used
	5 Results and Discussion
		5.1 Implementation Process
	6 Results
		6.1 Comparative Study
	7 Conclusion and Recommendation
		7.1 Conclusion
		7.2 Future Scope
	References
19 A Lightweight Solution to Intrusion Detection and Non-intrusive Data Encryption
	1 Introduction
	2 Methodology
		2.1 Proposed System
		2.2 Used Dataset and Preprocessing
		2.3 Feature Extraction
		2.4 Model Training
		2.5 ECC Encryption
	3 Result Analysis
	4 Conclusion
	References
20 Efficiency of Cellular Automata Filters for Noise Reduction in Digital Images
	1 Introduction
	2 Cellular Automata
	3 Noise and Its Types
	4 Noise Reduction Techniques
		4.1 Linear and Nonlinear Filters
		4.2 Cellular Automata-Based Noise Reduction Filters
	5 Methodology for Output Image Analysis
	6 Result and Discussion
	7 Conclusion
	References
21 Effective Mutants’ Classification for Mutation Testing of Smart Contracts
	1 Introduction
		1.1 Organization of Paper
	2 Background
		2.1 Smart Contract Features
		2.2 Software Testing and Mutation Testing
		2.3 Smart Contract Testing
		2.4 Prioritizing Mutants in Mutation Testing
	3 Problem Statement
	4 Proposed Methodology
		4.1 Mutant Classification
		4.2 Dataset
		4.3 Machine Learning-Based Evaluation of the Utility of Mutants
		4.4 Features Selection for Characterizing Mutants
	5 Results and Discussion
		5.1 Feature Importance
		5.2 Machine Learning Approach
		5.3 Classification Report
	6 Conclusion
	References
22 Scheming of Silver Nickel Magnopsor for Magneto-Plasmonic (MP) Activity
	1 Introduction
	2 Design Logic of the Device
	3 Results and Discussion
	4 Conclusion
	5 Competing Interests
	References
23 Heart Stroke Prediction Using Different Machine Learning Algorithms
	1 Introduction
	2 Methodology
		2.1 Proposed Method for Prediction
		2.2 Input Data
		2.3 Data Pre-processing
		2.4 Split Data
		2.5 Train Data
		2.6 Test Data
		2.7 Algorithms
	3 Result Analysis
		3.1 Precision
		3.2 Recall
		3.3 F-Measure
		3.4 Accuracy
	4 Conclusion
	References
24 Credit Card Fraud Detection Using Hybrid Machine Learning Algorithm
	1 Introduction
	2 Problem Statement
	3 Related Work
	4 Material and Methods
		4.1 Decision Tree Algorithm
		4.2 Random Forest Algorithm
		4.3 Honey Bee Algorithm
		4.4 Synthetic Minority Oversampling Technique (SMOTE)
		4.5 Confusion Matrix and Related Metrics
	5 Proposed Model
		5.1 Credit Card Fraud Detection Using Hybrid Machine Learning Algorithm
	6 Results and Discussion
	7 Conclusions and Future Work
	References
25 Smart Air Pollution Monitoring System for Hospital Environment Using Wireless Sensor and LabVIEW
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Proposed Air Pollution Monitoring System
		3.2 Working Principle of the System
		3.3 Graphical Programming in LabVIEW
	4 Results and Discussion
	5 Conclusion
	References
26 Mining Optimal Patterns from Transactional Data Using Jaya Algorithm
	1 Introduction
	2 Association Rule Mining
		2.1 Apriori Algorithm
	3 Proposed Work
		3.1 Jaya Optimization Algorithm
	4 Methodology
	5 Experimental Results
	6 Conclusion
	References
27 Accurate Diagnosis of Leaf Disease Based on Unsupervised Learning Algorithms
	1 Introduction
	2 Proposed Work
		2.1 Image Segmentation
		2.2 Unsupervised Learning Algorithms
		2.3 Otsu Thresholding
		2.4 K-Means Clustering Algorithm
		2.5 Level Set Method
		2.6 Fuzzy C-Means Algorithm
		2.7 FCMLSM
		2.8 ARKFCM
		2.9 FRFCM
	3 Segmentation Results
	4 Evaluation and Validation
	5 Conclusion
	References
28 Modified Teaching-Learning-Based Algorithm Tuned Long Short-Term Memory for Household Energy Consumption Forecasting
	1 Introduction
	2 Related Works and Background
		2.1 LSTM Overview
		2.2 Metaheuristics Optimization
	3 Proposed Method
		3.1 Teaching-Learning-Based Algorithm
		3.2 Modified TLB Algorithm
	4 Experimental Setup
		4.1 Dataset
		4.2 Experiments
	5 Results and Discussion
	6 Conclusion
	References
29 Chaotic Quasi-oppositional Chemical Reaction Optimization for Optimal Tuning of Single Input Power System Stabilizer
	1 Introduction
	2 SMIB Model
	3 Problem Formulation
		3.1 Case-I: Eigen Value Minimization
		3.2 Case-II: Damping Ratio Minimization
	4 Chaotic Chemical Reaction Optimization (CRO)
		4.1 Inspiration of CRO
		4.2 Mathematical Modelling of CRO
	5 Quasi-oppositional-Based Learning (Q-OBL)
		5.1 Opposite Number
		5.2 Opposite Point
		5.3 Quasi-opposite Number and Quasi-opposite Point
		5.4 Chaotic CRO
	6 CQOCRO Steps for PSS Problem
	7 Results and Discussion
		7.1 Case-I: Eigen Value Minimization
		7.2 Case-II: Damping Ratio Minimization
	8 Conclusion
	References
30 Network Intrusion Detection System for Cloud Computing Security Using Deep Neural Network Framework
	1 Introduction
	2 Literature Review
	3 Proposed Approach
	4 Dataset Description
	5 Performance Matrix
	6 Result
	7 Conclusion and Future Directions
	References
31 Comparison of Activation Functions in Brain Tumour Segmentation Using Deep Learning
	1 Introduction
	2 Overview of Deep Learning
		2.1 Convolutional Neural Network (CNN)
		2.2 U-Net
		2.3 Activation Functions
		2.4 Performance Metrics
	3 Dataset
	4 Methodology
	5 Results
	6 Conclusion
	References
32 Detection of Alzheimer’s Disease Using Convolutional Neural Network
	1 Introduction
	2 Structure of CNN
	3 Proposed Framework
		3.1 Data Acquisition
		3.2 Data Augmentation
		3.3 Classification and Evaluation
	4 Results and Discussion
		4.1 Image Augmentation
	5 Conclusion
	References
33 Performance Evaluation of Multiple ML Classifiers for Malware Detection
	1 Introduction
	2 Methodology
	3 Implementation
		3.1 Data Acquisition/Collection
		3.2 Data Preprocessing
		3.3 Data Splitting
		3.4 Machine Learning Algorithm
	4 Result Analysis
		4.1 Measurement Metrics
		4.2 Performance Results
	5 Conclusion
	References
34 An Analysis of Feature Engineering Approaches for Unlabeled Dark Web Data Classification
	1 Introduction
	2 Background Work
		2.1 Bag of Words
		2.2 TF-IDF
		2.3 Okapi BM 25
	3 Methodology
	4 Results and Discussions
	5 Conclusion and Future Work
	References
35 Anomaly Detection to Prevent Sensitive Data Exposure Using GMM Clustering Model
	1 Introduction
	2 Related Work
	3 Background Theory
	4 Results
		4.1 Applying Gaussian Mixture Models Clustering Algorithm
	5 Conclusion and Future Work
	References
36 Design Analysis and Fabrication of Mono Composite Leaf Spring by Varying Thickness
	1 Introduction
		1.1 Multi Leaf Spring
		1.2 Introduction of Composite Material
	2 Methodology
	3 Fabrication Procedure
		3.1 Steps to Prepare Composite Fibre Material Leaf Spring
		3.2 Resin Selection
	4 Result and Conclusion
		4.1 Analytical Results of Conventional and Composite Leaf Spring
		4.2 FEA Result
	References
37 Real-Time Driver Drowsiness Detection System Using Machine Learning
	1 Introduction
	2 Study of the Literature
	3 Proposed Methodology
	4 Results and Discussion
		4.1 Implementation
		4.2 Dataset
		4.3 Trials
	5 Conclusions
	References
38 Nature-Inspired Information Retrieval Systems: A Systematic Review of Literature and Techniques
	1 Introduction
		1.1 Information Retrieval (IR)
	2 Nature Inspired Algorithms (NIA)
	3 Nature Inspired Hybrid Classification
	4 Nature Inspired Hybrid Clustering
	5 Dataset
	6 Discussion and Future Direction
	7 Conclusion
	References
39 Deep Learning Based Smart Attendance System
	1 Introduction
	2 Literature Review
	3 Scope of the Work
	4 Proposed Methodology
		4.1 Database Development
		4.2 Input
		4.3 Image Processing
		4.4 Face Classification
		4.5 Testing
	5 Results and Discussions
		5.1 Datasets
		5.2 Experimental Results
	6 Conclusion
	References
40 Prediction of Clinical Depression Through Acoustic Feature Sampling Using Deep Learning and Random Forest Technique Based on BDI-II Scale of Psychiatry
	1 Introduction
	2 Literature Survey
	3 Design Methodology
		3.1 Audio Dataset
		3.2 Speech Segments Extraction of Features
	4 Result and Discussion
	5 Conclusion
	References
41 Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey
	1 Introduction
	2 Background
		2.1 Different Types of Optical Character Recognition
		2.2 Various Stages in OCR for Handwriting Recognition
		2.3 Various Levels of Recognition for Handwriting Documents
	3 Methodologies
		3.1 Challenges in Text Line Recognition in Handwritten Documents
	4 Conclusion and Future Directions
	References
42 Neural Style Preserving Visual Dubbing
	1 Introduction
	2 Literature Review
	3 Proposed System
		3.1 Image Preprocessing
		3.2 Dataset Creation
		3.3 GAN Model Training
	4 GAN Model Testing
	5 Implementation
	6 Results
	7 Conclusion and Future Scope
	References
43 Advanced Pointer-Generator Networks Based Text Generation
	1 Introduction
	2 Related Work
	3 Approach
		3.1 Flow of the Model
		3.2 Summarization Datasets
		3.3 Text Preprocessing
	4 Methodology
	5 Results
	6 Discussion and Future Work
	7 Conclusion
	References
Author Index