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Pattern Recognition and Information Processing : 15th International Conference, PRIP 2021, Minsk, Belarus, September 21-24, 2021, Revised Selected Papers / edited by Alexander V. Tuzikov, Alexei M. Belotserkovsky, Marina M. Lukashevich.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1562
- Communications in Computer and Information Science, 1865-0937 ; 1562
- Language:
- English
- Subjects (All):
- Pattern recognition systems.
- Computer vision.
- Computer engineering.
- Computer networks.
- Artificial intelligence.
- Application software.
- Automated Pattern Recognition.
- Computer Vision.
- Computer Engineering and Networks.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Local Subjects:
- Automated Pattern Recognition.
- Computer Vision.
- Computer Engineering and Networks.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XII, 245 pages) : 133 illustrations, 82 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
- Contents:
- Retinal Image Analysis Approach for Diabetic Retinopathy Grading
- Mask R-CNN-based system for automated reindeer recognition and counting from aerial photographs
- Smart Tiling for Program Optimization and Parallelization
- Classification of Histology Images based on a Compact 3D Representation
- Authentication System Based on Biometric Data of Smiling Face from Stacked Autoencoder and Concatenated Reed-Solomon Codes
- Formalization of people and crowd detection and tracking for smart video surveillance
- Predicting events by analyzing the results of the work of predictive models
- Digest of Blockchain Technologies to Design System for Big Image Data Provenance and Security
- Generative Autoencoders for Designing Novel Small-Molecule Compounds As Potential Sars-COV-2 Main Protease Inhibitors
- Comparison of data preprocessing algorithms for nuclear segmentation in fluorescent immunohistology images of cancer cells
- A Bottom-up Method for Pose Detection of Multiple People on Real-Time Video
- Formalisation of Motion description in Microscopy Images
- Detection of features regions of Syndrome in Multiple Sclerosis on MRI
- Automatic tuning of the motion control system of a mobile robot along a trajectory based on the reinforcement learning method
- Simulation Modelling And Machine Learning Platforfm For Processing Fluorescence Spectroscopy Data
- Comparing the Performance of Classical and Deep Learning Methods on Small Image Datasets
- Investigation of the GAN-SSL Classifier Properties for Identification Expertise.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-98883-8
- 9783030988838
- Access Restriction:
- Restricted for use by site license.
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