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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 Papers
Title
Recent Trends in Image Processing and Pattern Recognition [electronic resource] : 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers / edited by KC Santosh, Ayush Goyal, Djamila Aouada, Aaisha Makkar, Yao-Yi Chiang, Satish K Singh.
ISBN
9783031235993
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XIV, 420 p.) 192 illus., 144 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
February 22, 2023
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 Recognition of 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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