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Cover image for Recent Trends in Image Processing and Pattern Recognition 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers
Title:
Recent Trends in Image Processing and Pattern Recognition 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers
Author:
Santosh, KC. editor.
ISBN:
9783031235993
Edition:
1st ed. 2023.
Physical Description:
XIV, 420 p. 192 illus., 144 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1704
Contents:
Healthcare: medical imaging and informatics -- Data Characterization for Reliable AI in Medicine -- Alzheimer's Disease Detection using Ensemble Learning and Artificial Neural Networks -- Semi-supervised Multi-domain Learning for Medical Image Classification -- Significant CC400 functional brain parcellations based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder detection -- 2D respiratory sound analysis to detect lung abnormalities -- Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality due to Infectious Disease -- Chest X-ray Image Super-resolution via Deep Contrast Consistent Feature Network -- A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images -- Federated Learning for Lung Sound Analysis -- Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification using Thermal Image -- Image Processing and Pattern Recognitionof Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood -- An Extreme Learning Machine-basedAutoEncoder (ELM-AE)for denoising knee X-ray images and grading knee osteoarthritis severity -- Computer Vision and Pattern Recognition -- Motor Imagery Classification CombiningRiemannian Geometry and Artificial Neural Networks -- Autism Spectrum Disorder Detection using Transfer Learning with VGG 19, Inception V3 and DenseNet 201 -- Shrimp Shape Analysis by a Chord LengthFunction Based Methodology -- Supervised Neural Networks for Fruit Identification -- Targeted Clean-Label Poisoning Attacks On Federated Learning -- Building Marathi SentiWordNet -- A computational study on calibrated VGG19 formultimodal learning and representation insurveillance -- Automated Deep Learning based approach for Albinism Detection -- A Deep learning-based regression scheme for angle estimation in image dataset -- The classification of Native and Invasive Speciesin North America: A Transfer Learning and Random Forest Pipeline -- Internet of Things and Security -- Towards a Digital Twin Integrated DLT and IoT-based Automated Healthcare Ecosystem -- Enabling Edge Devices using Federated Learning and Big Data for Proactive Decisions -- IoT and Blockchain oriented gender determination of Bangladeshi populations -- Federated Learning based secured computational offloading in cyber-physical IoST systems -- A Hybrid Campus Security System Combined ofFace, Number-plate, and Voice Recognition -- Signal Processing and Machine -- Single-trial detection of event-related potentials with artificial examples based on coloring transformation -- Identifying the relationship between hypothesis and premise -- Data Poisoning Attack by Label Flipping onSplitFed Learning -- A Deep Learning-powered voice-enabled mathtutor for kids.
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