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

✍ Scribed by Ashish Kumar Tripathi (editor), Darpan Anand (editor), Atulya K. Nagar (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 543
• Category: Library

✦ Synopsis

This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18–19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.

✦ Table of Contents

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