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Recent Trends in Image Processing and Pattern Recognition

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Table of Contents

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    Book Overview
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    Chapter 1 Data Characterization for Reliable AI in Medicine
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    Chapter 2 Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networks
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    Chapter 3 Semi-supervised Multi-domain Learning for Medical Image Classification
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    Chapter 4 Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection
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    Chapter 5 2D Respiratory Sound Analysis to Detect Lung Abnormalities
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    Chapter 6 Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Disease
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    Chapter 7 Chest X-ray Image Super-Resolution via Deep Contrast Consistent Feature Network
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    Chapter 8 A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images
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    Chapter 9 Federated Learning for Lung Sound Analysis
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    Chapter 10 Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thermal Image
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    Chapter 11 Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood
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    Chapter 12 An Extreme Learning Machine-Based AutoEncoder (ELM-AE) for Denoising Knee X-ray Images and Grading Knee Osteoarthritis Severity
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    Chapter 13 Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks
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    Chapter 14 Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201
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    Chapter 15 Shrimp Shape Analysis by a Chord Length Function Based Methodology
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    Chapter 16 Supervised Neural Networks for Fruit Identification
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    Chapter 17 Targeted Clean-Label Poisoning Attacks on Federated Learning
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    Chapter 18 Building Marathi SentiWordNet
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    Chapter 19 A Computational Study on Calibrated VGG19 for Multimodal Learning and Representation in Surveillance
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    Chapter 20 Automated Deep Learning Based Approach for Albinism Detection
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    Chapter 21 A Deep Learning-Based Regression Scheme for Angle Estimation in Image Dataset
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    Chapter 22 The Classification of Native and Invasive Species in North America: A Transfer Learning and Random Forest Pipeline
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    Chapter 23 Towards a Digital Twin Integrated DLT and IoT-Based Automated Healthcare Ecosystem
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    Chapter 24 Enabling Edge Devices Using Federated Learning and Big Data for Proactive Decisions
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    Chapter 25 IoT and Blockchain Oriented Gender Determination of Bangladeshi Populations
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    Chapter 26 Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems
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    Chapter 27 A Hybrid Campus Security System Combined of Face, Number-Plate, and Voice Recognition
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    Chapter 28 Single-Trial Detection of Event-Related Potentials with Artificial Examples Based on Coloring Transformation
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    Chapter 29 Identifying the Relationship Between Hypothesis and Premise
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    Chapter 30 Data Poisoning Attack by Label Flipping on SplitFed Learning
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    Chapter 31 A Deep Learning-Powered Voice-Enabled Math Tutor for Kids
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Recent Trends in Image Processing and Pattern Recognition
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-23599-3
978-3-03-123598-6, 978-3-03-123599-3

Santosh, KC, Goyal, Ayush, Aouada, Djamila, Makkar, Aaisha, Chiang, Yao-Yi, Singh, Satish K

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