Decision Intelligence: Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 1 (Lecture Notes in Electrical Engineering, 1079)

This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry. Preface Contents About the Editors A Radio Frequency-Based Energy Harvesting Model for IoMT Device 1 Introduction 1.1 Contribution 2 Related Works 3 Proposed Model 3.1 RFEH Model 3.2 RFEH-IoMT Model 4 Performance Analysis 5 Conclusion References Cancer Hotspot Identification and Analysis: A Scan Statistics Approach 1 Introduction 1.1 Research Problem 1.2 Related Work 2 Relevance 3 Objective 4 Data Design and Processing 5 Methodology Adopted 5.1 Hotspot Analysis 5.2 Welch’s T-test 6 Spearman’s Rank Correlation Coefficient (rs) 7 Results and Discussion 7.1 Hotspot Detection 7.2 Descriptive Approach 8 Conclusion 9 Limitations 10 Scope for Future Research References An Artificial Voice Box that Makes Use of Unconventional Methods of Machine Learning 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Neuro Decoder 3.2 Artificial Voice Box 4 Conclusion References State-of-Art Review on Medical Image Classification Techniques 1 Introduction 2 Image Pre-processing Techniques for Medical Images 2.1 Image Filtering 2.2 Segmentation 3 Feature Selection and Feature Extraction 4 Classification Techniques 4.1 Using Traditional Classifiers 4.2 Using Deep Learning Algorithms 5 Conclusion References Prediction of Loan Approval of Customers Based on Credit Score Using Machine Learning 1 Introduction 2 Motivation 3 Literature Survey 4 Methodology 4.1 Dataset 4.2 Credit Score 4.3 Pre-processing 4.4 Logistic Regression 4.5 K-Nearest Neighbour 4.6 Decision Tree 4.7 Random Forest 4.8 Linear Discriminant Analysis 5 Result Analysis 6 Conclusion and Future Scope References Strategies for the Adoption of AI Technologies in the South African Wine and Fruit Industries 1 Introduction 2 Literature Review 2.1 AI Technologies for the SA Agricultural Sector 2.2 Barriers and Challenges of Adopting AI Technologies in Agriculture 3 Research Design and Methodology 4 Findings and Discussion 4.1 Current AI Technologies in Agricultural Processes 4.2 Challenges of Adopting AI Technologies 4.3 Strategies to Facilitate the Adoption of AI Technologies in Agriculture 5 Conclusion References Real-Time Facial Mask Detection Using Deep Learning 1 Introduction 2 Related Work 3 Methodology 3.1 Data Collection 3.2 Model 3.3 Training 4 Result 5 Limitations 6 Conclusion and Future Scope References SSATS—Enhancement of Semantic Similarity of Abstractive Text Summarization Using Transformer 1 Introduction 2 Key Contributions 3 Literature Survey 4 Proposed Methodology 5 Experiments 5.1 Dataset 5.2 Metrics 6 Results and Discussion 7 Conclusion and Future Work References Semantic Segmentation of Optical Satellite Images 1 Introduction 2 Evaluation Metric 3 Related Work 4 Comparison Between State-of-the-Art Methods 5 Future Work and Challenges 6 Conclusion References Human Gender and Age Estimator Using Local and Global Features with Machine Learning 1 Introduction 2 Literature Survey 3 Methodology 3.1 Data Acquisition 3.2 Pre-processing 3.3 Face Detection 3.4 Adaboost Algorithm 3.5 Feature Extraction 3.6 HOG Descriptors—Histogram of Oriented Gradients 3.7 LBP—Local Binary Pattern 3.8 Feature Reduction Using PCA 3.9 Principle Component Analysis (PCA) 3.10 SVM—Support Vector Machine Classifier 4 Experimental Results 4.1 Training and Testing 5 Conclusion References Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease 1 Introduction 1.1 Literature Review 2 Methodology References An Automatic Early Alert System on Detecting Dozing Driver 1 Introduction 2 Related Research Work 3 Proposed Methodology 3.1 Facial Landmark Identification 3.2 Eye Closing Detection 3.3 Yawning Detection 3.4 Alert 4 Experimental Results 5 Conclusion References Reversible Image Steganography to Achieve Effective PSNR 1 Introduction 2 Literature Review 3 Methodology 3.1 Reversible Image Steganography Methods for Compressed Images 3.2 Reversible Steganography Methods for Coded Images 3.3 High-Capacity Techniques for Reversible Image Steganography 3.4 Performance Study for Reversible Image Steganography 4 Experimental Results 5 Conclusion References EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance 1 Introduction 2 Literature Review 2.1 Why ML in Insurance 2.2 Related Work 3 Data Collection and Understanding 4 Work Flow and Framework of the Proposed Analysis 5 Data Preparation 6 Techniques Employed 7 Results and Discussion 8 Conclusion and Future Work References A Study of Feature-Based and Pixel-Level Image Fusion Techniques 1 Introduction 2 Pixel Fusion 3 Feature Level 4 Discrete Wavelet Transform 5 C-Mean Fuzzy Clustering 6 The Proposed Model 7 Performance Measures 7.1 Standard Deviation (SD) 7.2 Entropy (En) 7.3 Signal-to-Noise Ratio (SNR) 7.4 Deviation Index (DI) 8 Results 9 Conclusion References Catch Your Session, Track Your Pulse e-Health Service Using Blockchain 1 Introduction 2 Literature Survey 3 Methodology 4 Proposed System 5 Architecture System 5.1 Patient information management Module 5.2 Slot Booking Module 6 Results and Analysis 7 Conclusion References Ansuni Baat—A Bridge to Sign Language Communication 1 Introduction 1.1 Aim and Features 1.2 Background of the Study 2 Literature Review 3 System Analysis 3.1 Software Requirement Specification 3.2 Flow Diagram for the System 4 Methodology 4.1 Front-end 4.2 Back-end 4.3 Database 5 Result 6 Conclusion 7 Future Scope References A Review of Deep Learning Algorithms for Early Detection of Oral Mouth Cancer 1 Introduction 2 Research Approach 2.1 Research Question 2.2 Data Source 2.3 Paper Selection Criteria 3 Findings 4 Future Challenges 5 Conclusion References Malware Detection Using Deep Learning 1 Literature Review 2 Linear Regression 3 Types of Malwares 3.1 Virus 3.2 Worm 3.3 Trojan Horse 3.4 Spyware 3.5 Rootkit 4 Malware Detection 4.1 Anomaly Detection 4.2 Signature Detection 4.3 Specification-Based Detection 5 Botnet 5.1 How Botnet Attacks IoT Devices 5.2 Feature Selection 6 Algorithms Used 6.1 Logistic Regression 6.2 F1 Score 6.3 Epoch 6.4 KERAS 6.5 Standardization 7 Attributes of Datasets Used in the Project 7.1 KNN 7.2 Decision Tree 7.3 ANN 7.4 Logistic Regression 7.5 Naïve Bayes 7.6 SVM 8 Conclusion References Automatic Title Generation with Attention-Based LSTM 1 Introduction 1.1 Motivation and Justification of Automatic Title Generation 1.2 Contribution of the Proposed Work 2 Related Work 3 Proposed Methodology 3.1 Sequence-to-Sequence (Seq-to-Seq) Model 3.2 Seq-to-Seq Model Components 4 Experimental Setup and Result 4.1 Data Collection 4.2 Data Preprocessing 4.3 Train the Processed Data Using the Seq-to-Seq Model 5 Conclusion of the Proposed Work and Future Work References COVID-19 (COV-19) Spreading Diagnoses by Feature Representation Method Through Visual Learning (FVisL-CoV19) 1 Introduction 2 Related Works 3 Proposed Model 3.1 Feature Illustration of Visible-Learning-Methodology (FVisL-CoV19) 3.2 CoV19 Spreading Diagnoses Algorithm 4 Results and Discussions 4.1 Dataset Evaluation 4.2 Evaluation Metrics 4.3 Results 5 Conclusions References Alzheimer’s Disease Classification Using Deep Learning Models 1 Introduction 2 Literature Survey 3 Proposed Work 3.1 Input 3.2 Data Pre-processing 3.3 Model Building 4 Results and Discussion 5 Conclusion References Brain Pathology Detection Using Convolutional Neural Network from EEG Signal 1 Introduction 2 Related Works 3 Methodology and Design 4 Implementation and Results 5 Conclusion References CNN-Based Adversarial Embedding for Image Steganograpy 1 Introduction 2 Literature Review 3 Methods 3.1 Existing Methods 3.2 Proposed Methods 4 Result and Discussion 5 Conclusion References Machine Learning Approaches for Entity Extraction from Citation Strings 1 Introduction 2 Related Work 2.1 Non-machine Learning based Approaches 2.2 Machine Learning based Approaches 2.3 Limitations of Machine Learning based Approaches 2.4 Combination of Machine Learning and non-Machine Learning methods 3 Comparative Analysis 4 Conclusion 5 Future Scope References A Survey on Brain Tumor Segmentation with Missing MRI Modalities 1 Introduction 2 Methodologies 2.1 Common Latent Space 2.2 Knowledge Distillation Network 2.3 Mutual Information Maximization 3 Dataset 4 Evaluation Metrices 5 Experimental Analysis 6 Conclusion and Future Work References Deep Learning Based Segmentation Approach for Cervical Cancer Detection Using Pap Smears 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Data Augmentation 3.3 Data Pre-Processing 3.4 Data Augmentation 3.5 Segmentation 3.6 Performance Measures 3.7 Proposed Method 4 Result 4.1 Segmentation of Cervical Class 5 Conclusion References Hybrid Sign Language Interpreter Development Using Machine Learning Approach 1 Introduction 2 Literature Review 3 Research Gaps and Queries 4 Research Methodology 4.1 Implementation of the Methodology 4.2 Threats to Validity 5 Result Outcome 6 Conclusion and Future Scope References Community Detection Algorithms in Social Networks: An Empirical Evaluation 1 Introduction 2 Community Detection Algorithms and Measures 2.1 Community Detection Algorithms 2.2 Evaluation Measures 3 Results and Discussion 3.1 Datasets 3.2 Experimental Setup 3.3 Results 3.4 Discussion 4 Conclusion References Designing Hybrid Image Fusion Algorithm Using CNN and Stationary Wavelet Transform 1 Introduction 1.1 Spatial Based 1.2 Transform Based 2 Literature Review 3 Methodology 4 Experiments and Results 5 Conclusion References Predict Pawpularity Score of Pets Using State of Art Algorithms 1 Introduction 2 Literature Survey 3 Methodology 3.1 Data Exploration 3.2 Model Fitting 3.3 Models Used 4 Conclusion and Future Scope References Comparative Analysis of Balanced Code Smell Detection Using Machine Learning 1 Introduction 2 Literature Survey 3 Research Methodology 3.1 Dataset 4 Results and Discussion 5 Conclusions References ETL Data Pipeline to Analyze Scraped Data 1 Introduction 2 Literature Review 3 Proposed Method 4 Data Visualization in Power BI References DDoS Attack Detection Using Machine Learning 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset Description 3.2 Dataset Preprocessing 4 Results 5 Conclusion References An Empirical Study to Investigate Class Imbalance Issue for Improving Security Bug Report Classification Prediction 1 Introduction 2 Related Work 2.1 Security Bug Report Classifications 3 Methodology 3.1 Data-Preprocessing 3.2 Class Balancing Technique 3.3 Classifier Model 3.4 Performance Measure 4 Result and Analysis 5 Threats to Validity 6 Conclusion and Future Scope References Factors Influencing the Use of a Soccer Team’s Mobile Application by Fans in South Africa 1 Introduction 2 Literature Review 2.1 Mobile Applications in Sports 2.2 Impact of the Covid-19 Pandemic on the Sports Industry 2.3 Sport Fan Experience in Developed Versus Developing Countries 3 Research Model and Hypotheses 4 Research Design and Methodology 5 Data Analysis 5.1 Descriptive Statistics 5.2 Model Testing 6 Conclusion References