Recent Trends in Image Processing and Pattern Recognition: 6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected ... in Computer and Information Science)

Preface
Organization
Contents – Part II
Contents – Part I
Healthcare Informatics
Leveraging Handwriting Impairmentas a Biomarker for Early Parkinson’sDisease Diagnosis
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Data Acquisition and Pre-processing
		3.2 Data Augmentation
		3.3 Model Definition and Training
	4 Results and Discussion
	5 Conclusion
	References
Enhancing CT Image Visualization and AnalysisThrough Rescaling Raw Pixel Valuesto Hounsfield Units
	1 Introduction
	2 Hounsfield Unit
	3 Hounsfield Unit Scaling
	4 Results and Discussion
	5 Conclusion
	References
Diabetic Retinopathy Blood Vessel DetectionUsing Deep-CNN-Based Feature Extractionand Classification
	1 Introduction
	2 Methodology
		2.1 Dataset Details
		2.2 Pre-processing
		2.3 Classification
	3 Results and Discussion
		3.1 Experimental Results
		3.2 Results Comparison
	4 Conclusion and Future Work
	References
Detection of COVID-19 Disease UsingFederated Learning
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection and Preprocessing
	4 Experimental Results
	5 Conclusion
	References
Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach
	1 Introduction
	2 Literature Survey
	3 Materials and Methodology
		3.1 Data Preparation
		3.2 About Dataset
		3.3 Exploratory Data Analysis (EDA)
		3.4 Feature Selection
		3.5 Model Training and Evaluation
		3.6 Model Comparison
	4 Results, Conclusion, and Future Scope
	References
Compressed Deep Learning Models with XAI for COVID-19 Detection Using CXR Images
	1 Introduction
		1.1 Motivation and Contribution
	2 Related Work
	3 Methodology
		3.1 Preprocessing
		3.2 Compression of Model
		3.3 XAI
	4 Results and Discussion
		4.1 Dataset
		4.2 Experimental Results
	5 Conclusion
	References
HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques
	1 Introduction
	2 Literature Review
		2.1 Summary
	3 Materials and Methods
		3.1 Study Site
	4 Proposed Methodology
		4.1 Algorithm
		4.2 Convolutional Neural Network (CNN)
	5 Experimental Results and Analysis
		5.1 Contributions
		5.2 Delimitations
	6 Conclusion
	References
A Stack Ensemble Approach for Early Alzheimer Classification Using Machine Learning Algorithms
	1 Introduction
	2 Methodology
	3 Materials and Methods
		3.1 Logistic Regression
		3.2 Random Forest
		3.3 Naïve Bayes
		3.4 Neural Network
		3.5 Stack Ensemble
	4 Performance Metrics
		4.1 AUC
		4.2 CA-Classification Accuracy
		4.3 F1-Score
		4.4 Precision
		4.5 Recall
	5 Results
		5.1 Performance Curve – Lift Curve
		5.2 Performance Curve – Cumulative Gains
		5.3 Performance Curve – Precision-Recall
		5.4 Confusion Matrix Interpretation
	6 Conclusion
	References
Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray
	1 Introduction
	2 Related Work - Graph Neural Networks
	3 Methodology
		3.1 Dataset
		3.2 Data Preparation
		3.3 Superpixel Graph
		3.4 Network Models
	4 Results and Discussions
	5 Conclusion and Future Work
	References
Silicosis Detection Using Extended Transfer Learning Model
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Dataset
		3.2 Methodology
	4 Results
		4.1 Transfer Learning Approach
		4.2 Results of Proposed Approach
		4.3 Disease Localization Using Grad-CAM Technique
		4.4 Discussion
	5 Conclusion
	References
Automated Make and Model Identification of Reverse Shoulder Implants Using Deep Learning Methodology
	1 Introduction
	2 Literature Review
	3 Dataset Description
	4 Methods and Methodology
		4.1 Proposed Approach
		4.2 Training Set
		4.3 Testing Set
		4.4 Data Augmentation
		4.5 Deep Learning Methods
		4.6 Proposed Approach
		4.7 Performance Metrics
	5 Results and Discussion
		5.1 Data Augmentation
		5.2 Deep Learning Results
	6 Conclusion
	References
COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model
	1 Introduction
	2 Literature Review
	3 Experimental Setup
		3.1 CNN Model
		3.2 GANs Model
		3.3 Image Smoothing Technique
		3.4 Proposed System Model
		3.5 Evaluation
	4 Results and Discussion
	5 Conclusion
	References
Modified Snapshot Ensemble Algorithm for Skin Lesion Classification
	1 Introduction
		1.1 Contributions
	2 Methodology
		2.1 Preprocessing
		2.2 Snapshot Ensemble Technique
	3 Proposed Algorithm
		3.1 Model Creation
		3.2 Modified Snapshot Ensemble
	4 Experimental Results
		4.1 Dataset Details
		4.2 Model Training and Testing
		4.3 Snapshot Ensemble Calculation
		4.4 Comparison and Discussion
	5 Conclusion
	References
A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively
	1 Introduction
	2 Related Work
	3 Methods
		3.1 Overview
		3.2 Preprocessing
		3.3 Proposed Methodology
		3.4 Proposed Method Architecture
	4 Experimental Results and Analysis
		4.1 Dataset
		4.2 Comparison with the Benchmark Results
	5 Conclusion
	References
Realistic Skin Image Data Generation Leveraging Conditional GAN and Classification Using Deep CNN
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Loss Functions
	4 Results and Discussions
	5 Conclusion
	References
Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain
	1 Introduction
	2 Earlier Work
	3 Methodology
		3.1 X-Ray Image Processing
		3.2 Thermal Image Processing
	4 Results
		4.1 X-Ray Based Image Analysis
		4.2 Thermal Image Analysis
	5 Conclusion
	References
Exploring Imaging Biomarkers for Early Detection of Alzheimer\'s Disease Using Deep Learning: A Comprehensive Analysis
	1 Introduction
	2 Background Research
	3 Retina Scan in Detection of Alzheimer
	4 Role of Deep Learning
		4.1 Emerging DL Technologies in AD Research
	5 Conclusion
	References
Pattern Recognition in Blockchain, Cyber and Network Security, and Cryptography
VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks
	1 Introduction
		1.1 MQTT Network Infrastructure Overview
		1.2 MQTT Packet Structure
		1.3 Network Attacks on IoT Infrastructure
	2 Related Work
	3 Dataset
		3.1 Dataset Description
		3.2 Dataset Labeling
	4 Proposed Model
	5 Experiments
	6 Evaluation Metrics
	7 Results
	8 Conclusion and Future Scope
	References
Crypto Bank: Cryptocurrency Wallet Based on Blockchain
	1 Introduction
		1.1 The Idea of Cryptocurrencies – the 1980s
		1.2 The Launch of Bitcoin – 2008
		1.3 The Initial Crypto Market Development
		1.4 The Rise of the Crypto Bank
		1.5 Crypto Wallets
	2 Literature Review
		2.1 Bitcoin, the First Cryptocurrency
		2.2 Ethereum and Smart Contracts
		2.3 The Token Economy
	3 Background Details
	4 Proposed Work
	5 Methodology
	6 Comparative Analysis
	7 Conclusion and Future Scope
	References
Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and Their Performance Evaluation
	1 Introduction
	2 Literature Review
	3 Identified Issues and Challenges
	4 Problem Statement
	5 Contributions
	6 Methodology
		6.1 GPT-3
		6.2 GPT-4
		6.3 AutoGPT
		6.4 LLaMA
		6.5 Vicuna
		6.6 Alpaca
		6.7 BARD
	7 Results, Analysis, and Discussion
	References
CincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone
	1 Introduction
		1.1 Research Contributions
		1.2 Limitations
	2 Literature Review
	3 Methodology
		3.1 Datasets
		3.2 Proposed Work
	4 Results
	5 Conclusion
	6 Future Work
	References
Deep Neural Networks Based Security Solution for ATM Transactions
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Conclusion and Future Work
	References
A Comprehensive Analysis of Blockchain Network Security: Attacks and Their Countermeasures
	1 Introduction
		1.1 Characteristics of Blockchain
		1.2 Applications of Blockchain
	2 Blockchain Security
		2.1 Blockchain Attacks
	3 Summary of Blockchain Attacks
	4 Conclusion
	References
Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis
	1 Introduction and Motivation
		1.1 Introduction
		1.2 Motivation
	2 Background
		2.1 Introduction to Android
		2.2 Android Malware
		2.3 Android Malware Detection
		2.4 Machine Learning
	3 Related Work
	4 Methodology
		4.1 Image Formation
		4.2 Feature Extraction
		4.3 Feature Filtration
		4.4 Classification Algorithms
	5 Experimental Setup
		5.1 Dataset
	6 Results and Discussion
		6.1 Image Conversion
		6.2 Feature Extraction
		6.3 Feature Filtration
		6.4 Classification Results on Features Collected from Various Texture Feature Extraction Methods
		6.5 Comparison with Previous Techniques
	7 Conclusion and Future Scope
	References
Blockchain-Enhanced Federated Learning for Secure Malicious Activity Detection in Cyber-Physical Systems
	1 Introduction
	2 Related Work
		2.1 Feature Selection Techniques
		2.2 Machine Learning-Based Approaches
		2.3 Blockchain-Based Security
	3 System Architecture
		3.1 Feature Selection Using Water Wave Optimization
		3.2 Design Steps: The Training Process of the Rider Optimization Algorithm with Deep Long Short-Term Memory (LSTM):
	4 Results and Discussion
		4.1 Dataset Description
		4.2 Evaluation Metrics
		4.3 Performance Assessment and Comparative Analysis
	5 Conclusions
	6 Future Work
	References:
Classification of Images Extracted from Scientific Documents for Cyber Deception
	1 Introduction
	2 Related Work
	3 Dataset Description
	4 Methodology
		4.1 Data Preprocessing
		4.2 Machine Learning Models
		4.3 Deep Learning Models
		4.4 Evaluation Metrics
	5 Experimental Results and Discussion
	6 Conclusion and Future Works
	References
Optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm
	1 Introduction
	2 Related Work
		2.1 Conventional Optimization-Based approaches
		2.2 Deep Q-Learning Based Approaches
		2.3 Motivation
		2.4 Contribution and Organization
	3 System Model
		3.1 Signal Model
		3.2 Energy Harvested Model
	4 Problem Statements and Solution
		4.1 Problem Statements
		4.2 Proposed Solution
	5 Proposed Algorithm
		5.1 Red Deer Algorithm
		5.2 Support Vector Machine
		5.3 Proposed Algorithm: Support Vector Machine-Red Deer Algorithm (SVM-RDA)
	6 Simulation Results
	7 Conclusion
	References
 Blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Proposed Data Sharing Scheme Using Distributed and Parallel Approach
		3.2 The Data Sharing Mechanism: Designing an Effective Data Retrieval Algorithm
	4 Results
		4.1 Data Upload and Download Times
		4.2 Comparative Analysis
	5 Conclusion
	References
UI/UX for Aerospace Qualification Business Processes
	1 Introduction
	2 Methods
		2.1 Planning and Discovery
		2.2 User Stories
		2.3 Design
		2.4 Usability Testing
		2.5 Refinement
		2.6 Iteration and Development
		2.7 Case Studies
		2.8 Case Study 1: Designing the Operator Functionality for the Admin
		2.9 Case Study 2: Client-Facing Dashboard for Transparency
		2.10 Case Study 3: Empowering Admin for Streamlined Qualification Oversight
	3 Results and Discussions
	4 Conclusion
	References
Comparative Studies of Stochastic Techniques to Minimize the Cost of Biomass Supply Networks
	1 Introduction
	2 Modeling Equations of BSN
		2.1 Case Study
		2.2 Objective Function
		2.3 Constraints Applied on BSN
	3 Result and Discussion
	4 Conclusion and Future Recommendations
	References
Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions
	1 Introduction
	2 Preliminaries
		2.1 Federated Unlearning
		2.2 Prominence of Federated Unlearning
		2.3 Hypothesis on Previous Studies
		2.4 Unlearning of Client Contribution
	3 Related Work
	4 Design of Server Right to Forget
		4.1 Overview
		4.2 Design Details
	5 Performance Evaluation
		5.1 Evaluation Methodology
		5.2 Evaluation Results
	6 Conclusion
	References
Author Index