Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II

• Autore: Santosh K. C
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (430 pages)
• Altri autori: MakkarAaisha ConwayMyra SinghAshutosh K VacavantAntoine Abou el KalamAnas BougueliaMohamed-Rafik HegadiRavindra
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Healthcare Informatics -- Leveraging Handwriting Impairment as a Biomarker for Early Parkinson's Disease 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 Analysis Through Rescaling Raw Pixel Values to Hounsfield Units -- 1 Introduction -- 2 Hounsfield Unit -- 3 Hounsfield Unit Scaling -- 4 Results and Discussion -- 5 Conclusion -- References -- Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and 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 Using Federated 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.
• Titolo autorizzato: Recent Trends in Image Processing and Pattern Recognition
• ISBN: 3-031-53085-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910806192403321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series