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El. knyga: Recent Trends in Image Processing and Pattern Recognition: 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers

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Recent Trends in Image Processing and Pattern Recognition: 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected PapersDidesnis paveikslėlis
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This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.

The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.

Healthcare: medical imaging and informatics.- Data Characterization for
Reliable AI in Medicine.- Alzheimers 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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