01987nam 2200589 a 450 991045254390332120200520144314.00-299-29043-31-299-19231-9(CKB)2550000001003083(OCoLC)828618001(CaPaEBR)ebrary10659938(SSID)ssj0000845139(PQKBManifestationID)11502862(PQKBTitleCode)TC0000845139(PQKBWorkID)10834625(PQKB)10794777(MiAaPQ)EBC3445302(MdBmJHUP)muse19179(Au-PeEL)EBL3445302(CaPaEBR)ebr10659938(CaONFJC)MIL450481(OCoLC)927484371(EXLCZ)99255000000100308320120316d2012 uy 0engurcn|||||||||txtccrThe poetics of impudence and intimacy in the age of Pushkin[electronic resource] /Joe PeschioMadison University of Wisconsin Pressc20121 online resource (175 p.) Publications of the Wisconsin Center for Pushkin StudiesBibliographic Level Mode of Issuance: Monograph0-299-29044-1 Includes bibliographical references and index.Publications of the Wisconsin Center for Pushkin Studies.Russian literature19th centuryHistory and criticismRussian wit and humor19th centuryHistory and criticismElectronic books.Russian literatureHistory and criticism.Russian wit and humorHistory and criticism.891.709/003Peschio Joe1054825MiAaPQMiAaPQMiAaPQBOOK9910452543903321The poetics of impudence and intimacy in the age of Pushkin2487752UNINA11027nam 2200517 450 99647576380331620221210010143.03-031-07005-4(CKB)5600000000460850(MiAaPQ)EBC6996387(Au-PeEL)EBL6996387(PPN)269144501(EXLCZ)99560000000046085020221210d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierRecent trends in image processing and pattern recognition 4th International Conference, RTIP2R 2021, Msida, Malta, December 8-10, 2021, revised selected papers /edited by K. C. Santosh, Ravindra Hegadi, Umapada PalCham, Switzerland :Springer,[2022]©20221 online resource (406 pages)Communications in Computer and Information Science Ser. ;v.15763-031-07004-6 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Healthcare: Medical Imaging and Informatics -- Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening -- 1 Introduction -- 2 Image Data -- 3 Method -- 4 Experiments and Discussions -- 5 Conclusion and Future Work -- References -- Detection of Male Fertility Using AI-Driven Tools -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Features Detailing -- 3.2 Feature Selection -- 3.3 Feature Selection -- 3.4 The Workflow of Proposed Model -- 4 Experiments -- 4.1 Data -- 4.2 Evaluation Protocols -- 4.3 Results -- 5 Conclusion -- References -- An Empirical Study of Vision Transformers for Cervical Precancer Detection -- 1 Introduction -- 2 Related Work -- 3 Experiments -- 3.1 Data Preparation -- 3.2 Architecture -- 3.3 Training Setup -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- CheXNet for the Evidence of Covid-19 Using 2.3K Positive Chest X-rays -- 1 Introduction -- 2 Chest X-ray Dataset -- 3 CheXNet and Implementation -- 4 Experimental Results -- 4.1 Evaluation Protocol and Performance Metrics -- 4.2 Results Analysis -- 4.3 Comparative Study -- 5 Conclusion and Future Work -- References -- An Enhanced Deep Convolution Neural Network Model to Diagnose Alzheimer's Disease Using Brain Magnetic Resonance Imaging -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Pre-processing -- 2.2 Deep CNN: Architecture and Implementation -- 2.3 Hyper Parameters in Deep CNN -- 3 Experiments -- 3.1 Dataset -- 3.2 Validation Protocol and Evaluation Metrics -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Automatic Knee Osteoarthritis Stages Identification -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Left and Right Knee Segmentation -- 3.3 ROI Detection.3.4 DNN-Based Classification System -- 4 Experimental Setup and Result Discussion -- 4.1 Comparison of OACnet with Other DNN-Based Models -- 5 Conclusion -- References -- Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Using Chest X-Ray Images -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Image Processing -- 3.2 Layered DarkNet (LDN) -- 3.3 Novel Stacked Dark COVID-Net -- 4 Experimental Setup and Discussions -- 4.1 Experimental Setup -- 4.2 Dataset Description -- 5 Conclusions -- References -- Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment -- 1 Introduction -- 2 Methods -- 2.1 Dataset and Annotation -- 2.2 CycleGan -- 2.3 Customized CNN -- 3 Experiments -- 3.1 Augmented Images -- 3.2 Treatability Classification Performance -- 3.3 Comparing the Visualization -- 4 Conclusion -- References -- Osteoarthritis Detection Using Densely Connected Neural Network -- 1 Introduction -- 2 Related Work -- 3 Architecture of Dense Net -- 4 Design of OA Detection and Classification Model -- 4.1 Input Image Acquisition -- 4.2 Pre-processing -- 4.3 Feature Extraction -- 4.4 Image Classification -- 5 Results and Discussion -- 6 Conclusion -- References -- Generic Foreign Object Detection in Chest X-rays -- 1 Introduction -- 2 Related Works -- 3 YOLOv4, Architecture and Implementation -- 4 Experiments -- 4.1 Dataset -- 4.2 Results and Analysis -- 5 Conclusions -- References -- Mammogram Mass Classification: A CNN-Based Technique Applied to Different Age Groups -- 1 Contribution Outline -- 1.1 Traditional Classifiers -- 1.2 CNN Architecture -- 2 Experiments -- 2.1 Dataset and Pre-processing -- 2.2 Age Grouping -- 2.3 Evaluation Metrics -- 2.4 Evaluation Strategy and System Configuration -- 2.5 Results and Analysis.2.6 Comparative Analysis with Previous Relevant Work -- 3 Conclusions and Future Work -- References -- Computer Vision and Pattern Recognition -- Complex Object Detection Using Light-Field Plenoptic Camera -- 1 Introduction -- 2 Plenoptic Camera Calibration -- 3 Methods -- 3.1 Feature Detection -- 3.2 Feature Matching -- 3.3 Transform Model Estimation -- 3.4 Results -- 3.5 Conclusions -- References -- Real-Time Face Recognition for Organisational Attendance Systems -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Harnessing Sustainable Development in Image Recognition Through No-Code AI Applications: A Comparative Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Previous Research -- 3 Methodology -- 3.1 Dataset -- 3.2 Hardware -- 3.3 Software -- 3.4 ResNet - 50 V2 -- 3.5 MobileNetV2 -- 4 Results -- 5 Discussion -- References -- Evaluating Performance of Adam Optimization by Proposing Energy Index -- 1 Introduction -- 2 Related Work -- 2.1 AdaGrad -- 2.2 AdaDelta -- 2.3 RMSProp -- 2.4 Adam -- 2.5 Energy Index Based Optimization Method (EIOM) -- 3 Introducing EI to Adam -- 4 Experiments and Analysis -- 4.1 Logistic Regression -- 4.2 Support Vector Machine -- 5 Conclusion and Future Direction -- References -- An Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Triplets -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Technique -- 3.1 Non-invertible Feature Extraction -- 3.2 Secured Template Generation -- 3.3 Security Enhancement of the Generated Template -- 3.4 Matching -- 4 Experimental Analysis -- 4.1 Revocability -- 4.2 Diversity -- 4.3 Security -- 4.4 Performance -- 5 Conclusion -- References -- Early Prediction of Complex Business Processes Using Association Rule Based Mining -- 1 Introduction -- 2 Related Work.3 Association Rule Mining -- 4 The CBA-Based Prediction Model -- 5 Experimental Results -- 5.1 Comparative Analysis -- 6 Conclusion -- References -- A Framework for Masked-Image Recognition System in COVID-19 Era -- 1 Introduction -- 1.1 Objectives -- 2 Literature Review -- 3 Problem Formulation -- 4 Proposed Solutions -- 4.1 Programming Languages and Tools -- 4.2 Web Application Frameworks -- 4.3 Computer Vision Frameworks -- 4.4 Algorithms -- 4.5 Approaches -- 5 Specification and Design -- 5.1 System Requirements -- 5.2 Principle System Components and Requirements -- 6 Implementations and Result Analysis -- 6.1 Home Component -- 6.2 Camera Component -- 6.3 Login Component -- 6.4 Profile Component -- 6.5 Results Analysis -- 7 Conclusions and Future Work -- References -- A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Human Detection -- 3.2 Human Tracking -- 3.3 Distance Measurement -- 4 Experimental Results and Discussions -- 4.1 Dataset and Training Details -- 4.2 Results and Discussions -- 5 Conclusion -- References -- Face Mask Detection Using Deep Hybrid Network Architectures -- 1 Introduction and Problem Understanding -- 2 Related Works -- 3 Dataset and Data Preprocessing -- 3.1 Data Description -- 3.2 Resizing -- 4 Description of the Network Architectures and Machine Learning Algorithms -- 4.1 ResNet50 -- 4.2 VGG16 -- 4.3 Support Vector Machines -- 4.4 GBDecision Trees -- 4.5 Neural Networks -- 4.6 Hybrid Models -- 5 Proposed Model: ResNet50 + SVM -- 6 Results and Discussion -- 7 Conclusion -- References -- A Super Feature Transform for Small-Size Image Forgery Detection -- 1 Introduction -- 2 Related Works and Problem Context -- 2.1 Preliminaries of Super Resolution Algorithms -- 2.2 Review of Forgery Detection Algorithms.3 Proposed Detection Model -- 3.1 Super Feature Transform (SFT) -- 3.2 Feature Filtering and Forged Region Localization -- 4 Experimentation and Analysis -- 4.1 Evaluation of Super Feature Transform -- 4.2 Detection Results with Post-processing Actions -- 5 Conclusion -- References -- Document Analysis and Recognition -- UHTelHwCC: A Dataset for Telugu Off-line Handwritten Character Recognition -- 1 Introduction -- 2 Related Work -- 3 UHTelHwCC Creation -- 4 UHTelHwCC Characteristics -- 4.1 Sample Distribution -- 4.2 Data Splits -- 4.3 Writers Details -- 5 Experiments -- 6 Conclusion -- References -- Inflectional and Derivational Hybrid Stemmer for Sentiment Analysis: A Case Study with Marathi Tweets -- 1 Introduction -- 2 Related Work -- 3 Marathi Morphology -- 4 Marathi Stemming Algorithm -- 4.1 Data Collection -- 4.2 Cleaning -- 4.3 Stop Word Removal -- 4.4 Marathi Subjective Lexicon (Adjective-Adverb) -- 4.5 Stemming -- 5 Experiments and Results -- 5.1 Performance of the Stemmer -- 5.2 Tweet Classification and Stemmer Validation -- 5.3 Comparison with Existing Marathi Stemmers -- 6 Conclusion -- References -- Adaptive Threshold-Based Database Preparation Method for Handwritten Image Classification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Deep Neural Network -- 3.2 Feature Extraction with Adaptive Threshold -- 3.3 Classification and Recognition -- 4 Experimental Setup and Evaluation Protocol -- 4.1 Dataset and Pre-processing -- 4.2 Evolution Protocol -- 5 Conclusion and Future Scope -- References -- A Graph-Based Holistic Recognition of Handwritten Devanagari Words: An Approach Based on Spectral Graph Embedding -- 1 Introduction -- 2 Proposed Model -- 2.1 Pre-processing -- 2.2 Proposed Graph Extraction/Representation -- 2.3 Edge Connecting, Labelling and Selection of Graph Associated Matrices.2.4 Spectral Decomposition of Word Graph Associated Matrices.Communications in Computer and Information Science Ser.Image processingCongressesImage processing621.367Hegadi RavindraPal UmapadaSantosh K. C.MiAaPQMiAaPQMiAaPQBOOK996475763803316Recent Trends in Image Processing and Pattern Recognition2495436UNISA03081nam 2200457 450 991076819800332120231207234442.03-031-38469-510.1007/978-3-031-38469-1(MiAaPQ)EBC30970263(Au-PeEL)EBL30970263(DE-He213)978-3-031-38469-1(EXLCZ)992903858540004120231207d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCardiac Electrosonography /Eyal Herzog, David Leibowitz, and Yair Elitzur, editorsFirst edition.Cham, Switzerland :Springer,[2023]©20231 online resource (397 pages)Print version: Herzog, Eyal Cardiac Electrosonography Cham : Springer International Publishing AG,c2024 Includes bibliographical references.Acute chest pain -- Dyspnea -- Hemodynamic instability -- Syncope -- Arrythmias -- Cardiac arrest and Resuscitation -- Embolic disease.This book focuses on a new clinical algorithmic approach to acute patient care based on the combination of electrocardiography (ECG) and echocardiography performance and interpretation, now renamed: ECG-sonography or electrosonography. The combination of these two basic skills improves patient management by healthcare providers in the acute setting. ECG is one of the oldest diagnostic tools in evaluating patients with cardiovascular symptoms and multiple and complex criteria for its interpretation have been developed over the past decades. The use of point of care ultrasound based on handheld echocardiography has recently emerged as an important clinical tool, particularly in the emergency department (ED) and intensive care unit. These studies are mainly performed by non-cardiologists including intensivists and ED physicians in addition to the physical exam and standard diagnostic tests such as the chest X-ray and laboratory tests to evaluate patients quickly and efficiently. Cardiac Electrosonography provides a new algorithmic approach to ECG interpretation and a simple tutorial of echocardiography performance and interpretation with a major focus on handheld echocardiography. It includes representative cases of patients presenting to the ED with a specific, acute cardiovascular symptom and demonstrates appropriate use of both ECG and echocardiography to improve patient management and outcome. It therefore represents an essential guide to this hybrid procedure for all practicing and trainee cardiologists and all healthcare professionals who manage these patients.EchocardiographyEchocardiography.616.1207543Herzog EyalLeibowitz DavidElitzur YairMiAaPQMiAaPQMiAaPQBOOK9910768198003321Cardiac Electrosonography3656152UNINA