001454079 000__ 06235cam\a2200661\i\4500 001454079 001__ 1454079 001454079 003__ OCoLC 001454079 005__ 20230314003500.0 001454079 006__ m\\\\\o\\d\\\\\\\\ 001454079 007__ cr\cn\nnnunnun 001454079 008__ 230120s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001454079 019__ $$a1359041394$$a1361715477 001454079 020__ $$a9783031235993$$q(electronic bk.) 001454079 020__ $$a3031235991$$q(electronic bk.) 001454079 020__ $$z9783031235986 001454079 020__ $$z3031235983 001454079 0247_ $$a10.1007/978-3-031-23599-3$$2doi 001454079 035__ $$aSP(OCoLC)1362883988 001454079 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dAU@ 001454079 049__ $$aISEA 001454079 050_4 $$aTA1630 001454079 08204 $$a621.36/7$$223/eng/20230120 001454079 1112_ $$aInternational Conference on Recent Trends in Image Processing and Pattern Recognition$$n(5th :$$d2022 :$$cKingsville, Texas). 001454079 24510 $$aRecent trends in image processing and pattern recognition :$$b5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 01-02, 2022, revised selected papers /$$cK.C. Santosh, Ayush Goyal, Djamila Aouada, Aaisha Makkar, Yao-Yi Chiang, Satish K. Singh (eds.). 001454079 24630 $$aRTIP2R 2022 001454079 264_1 $$aCham :$$bSpringer,$$c[2023] 001454079 264_4 $$c©2023 001454079 300__ $$a1 online resource (xiv, 420 pages) :$$billustrations (chiefly color). 001454079 336__ $$atext$$btxt$$2rdacontent 001454079 337__ $$acomputer$$bc$$2rdamedia 001454079 338__ $$aonline resource$$bcr$$2rdacarrier 001454079 347__ $$atext file$$bPDF$$2rda 001454079 4901_ $$aCommunications in computer and information science ;$$v1704 001454079 500__ $$aInternational conference proceedings. 001454079 500__ $$aIncludes author index. 001454079 5050_ $$aHealthcare: 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 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. 001454079 506__ $$aAccess limited to authorized users. 001454079 520__ $$aThis book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022. The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning. 001454079 588__ $$aDescription based on print version record. 001454079 650_0 $$aOptical data processing$$vCongresses. 001454079 650_0 $$aImage processing$$vCongresses. 001454079 650_0 $$aOptical pattern recognition$$vCongresses. 001454079 655_7 $$aConference papers and proceedings.$$2lcgft 001454079 655_0 $$aElectronic books. 001454079 7001_ $$aSantosh, K. C.,$$eeditor. 001454079 7001_ $$aGoyal, Ayush,$$eeditor. 001454079 7001_ $$aAouada, Djamila,$$eeditor. 001454079 7001_ $$aMakkar, Aaisha,$$eeditor. 001454079 7001_ $$aChiang, Yao-Yi,$$eeditor. 001454079 7001_ $$aSingh, Satish K.,$$eeditor. 001454079 77608 $$iPrint version:$$aInternational Conference on Recent Trends in Image Processing and Pattern Recognition (5th : 2022 : Kingsville, Texas), creator.$$tRecent trends in image processing and pattern recognition.$$dCham : Springer Nature Switzerland, 2023$$z9783031235986$$w(OCoLC)1356959954 001454079 830_0 $$aCommunications in computer and information science ;$$v1704. 001454079 852__ $$bebk 001454079 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-23599-3$$zOnline Access$$91397441.1 001454079 909CO $$ooai:library.usi.edu:1454079$$pGLOBAL_SET 001454079 980__ $$aBIB 001454079 980__ $$aEBOOK 001454079 982__ $$aEbook 001454079 983__ $$aOnline 001454079 994__ $$a92$$bISE