001445356 000__ 04663cam\a2200577Ii\4500 001445356 001__ 1445356 001445356 003__ OCoLC 001445356 005__ 20230310003826.0 001445356 006__ m\\\\\o\\d\\\\\\\\ 001445356 007__ cr\un\nnnunnun 001445356 008__ 220324s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001445356 019__ $$a1304357189$$a1304397965$$a1304462227$$a1304814040 001445356 020__ $$a9783030988838$$q(electronic bk.) 001445356 020__ $$a303098883X$$q(electronic bk.) 001445356 020__ $$z9783030988821$$q(print) 001445356 020__ $$z3030988821 001445356 0247_ $$a10.1007/978-3-030-98883-8$$2doi 001445356 035__ $$aSP(OCoLC)1305201877 001445356 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCQ 001445356 049__ $$aISEA 001445356 050_4 $$aTK7882.P3 001445356 08204 $$a006.4$$223 001445356 1112_ $$aPRIP (Conference)$$n(15th :$$d2021 :$$cOnline) 001445356 24510 $$aPattern recognition and information processing :$$b15th International Conference, PRIP 2021, Minsk, Belarus, September 21-24, 2021, Revised selected papers /$$cAlexander V. Tuzikov, Alexei M. Belotserkovsky, Marina M. Lukashevich (eds.). 001445356 2463_ $$aPRIP 2021 001445356 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022. 001445356 300__ $$a1 online resource (xii, 245 pages) :$$billustrations (some color). 001445356 336__ $$atext$$btxt$$2rdacontent 001445356 337__ $$acomputer$$bc$$2rdamedia 001445356 338__ $$aonline resource$$bcr$$2rdacarrier 001445356 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1562 001445356 500__ $$aIncludes author index. 001445356 5050_ $$aRetinal 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. 001445356 506__ $$aAccess limited to authorized users. 001445356 520__ $$aThis 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. 001445356 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 24, 2022). 001445356 650_0 $$aPattern recognition systems$$vCongresses. 001445356 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès. 001445356 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001445356 655_0 $$aElectronic books. 001445356 7001_ $$aTuzikov, Alexander V.$$eeditor.$$0(orcid)0000-0001-5970-4852$$1https://orcid.org/0000-0001-5970-4852 001445356 7001_ $$aBelotserkovsky, Alexei M.$$eeditor.$$0(orcid)0000-0002-8544-8554$$1https://orcid.org/0000-0002-8544-8554 001445356 7001_ $$aLukashevich, Marina M.$$eeditor.$$0(orcid)0000-0003-1255-5612$$1https://orcid.org/0000-0003-1255-5612 001445356 77608 $$iPrint version: $$z3030988821$$z9783030988821$$w(OCoLC)1301903141 001445356 830_0 $$aCommunications in computer and information science ;$$v1562.$$x1865-0937 001445356 852__ $$bebk 001445356 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-98883-8$$zOnline Access$$91397441.1 001445356 909CO $$ooai:library.usi.edu:1445356$$pGLOBAL_SET 001445356 980__ $$aBIB 001445356 980__ $$aEBOOK 001445356 982__ $$aEbook 001445356 983__ $$aOnline 001445356 994__ $$a92$$bISE