LEADER 06402nam 22007815 450 001 9910644263303321 005 20251113193829.0 010 $a9783031235993 010 $a3031235991 024 7 $a10.1007/978-3-031-23599-3 035 $a(MiAaPQ)EBC7175623 035 $a(Au-PeEL)EBL7175623 035 $a(CKB)25994457300041 035 $a(DE-He213)978-3-031-23599-3 035 $a(PPN)267807961 035 $a(EXLCZ)9925994457300041 100 $a20230110d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Trends in Image Processing and Pattern Recognition $e5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers /$fedited by KC Santosh, Ayush Goyal, Djamila Aouada, Aaisha Makkar, Yao-Yi Chiang, Satish K Singh 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (427 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1704 311 08$aPrint version: Santosh, K. C. Recent Trends in Image Processing and Pattern Recognition Cham : Springer,c2023 9783031235986 320 $aIncludes bibliographical references and index. 327 $aHealthcare: 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 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. 330 $aThis book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022. The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1704 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aSocial sciences$xData processing 606 $aData protection 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Engineering and Networks 606 $aData and Information Security 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSocial sciences$xData processing. 615 0$aData protection. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Engineering and Networks. 615 24$aData and Information Security. 676 $a354.81150006 676 $a621.367 702 $aSantosh$b K. C. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910644263303321 996 $aRecent Trends in Image Processing and Pattern Recognition$92495436 997 $aUNINA