05793nam 2200613 a 450 991096754600332120251116181742.01-62257-940-2(CKB)2550000001042626(EBL)3020444(SSID)ssj0000860638(PQKBManifestationID)12384597(PQKBTitleCode)TC0000860638(PQKBWorkID)10913913(PQKB)10109627(MiAaPQ)EBC3020444(Au-PeEL)EBL3020444(CaPaEBR)ebr10677482(OCoLC)834604367(BIP)42956905(BIP)41008502(EXLCZ)99255000000104262620121127d2013 uy 0engur|n|---|||||txtccrPlatinum compounds, production and applications /Leonid Varennikov and Eduard Yedemsky, editors1st ed.Hauppauge, N.Y. Nova Science Publishers, Inc.20131 online resource (165 p.)Chemical engineering methods and technologyMaterials science and technologiesDescription based upon print version of record.1-62257-939-9 Includes bibliographical references and index.Intro -- PLATINUM: COMPOUNDS, PRODUCTION AND APPLICATIONS -- PLATINUMCOM: POUNDS, PRODUCTION AND APPLICATIONS -- LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA -- CONTENTS -- PREFACE -- Chapter 1: STRUCTURAL ASPECTS OF PLATINUM COORDINATION COMPLEXES -- ABSTRACT -- 1. INTRODUCTION -- 2.MONOMERIC PT COORDINATION COMPLEXES -- 2.1. Pt(0) and Pt(I) Complexes -- 2.2. PT(II) COMPLEXES -- 2.3. Pt(III) Complexes -- 2.3. Pt(IV) Complexes -- 2.4. Mixed-Valence Pt Complexes -- 2.5. Pt(2.87), Pt(3.25) and Pt(3.5) Complexes -- 3. DIMERIC PT COORDINATION COMPLEXES -- 3.1. Pt(0) Dimers -- 3.2. Pt(I) Dimers -- 3.3. Pt(II) Dimers -- 3.4. Pt(2.5) Dimers -- 3.5. Pt(III) Dimers -- 3.6. Pt(IV) Dimers -- 3.7. Mixed-Valence Pt Dimers -- 4. TRIMERIC PT COORDINATION COMPLEXES -- 4.1. Pt(0) Trimers -- 4.2. Pt(I) Trimers -- 4.3. Pt(II) Trimers -- 4.4. Mixed-Valence Pt Trimers -- 5. TETRAMERIC PT COORDINATION COMPLEXES -- 5.1. Mixed-Valence and Non-Integral Pt Oxidation States -- 5.2. Pt(II), Pt(III) and Pt(IV) Tetramers -- 6. PENTA-TO OCTAMERIC PT COORDINATION COMPLEXES -- CONCLUSION -- REFERENCES -- Chapter 2: THE PROBLEMS OF GEOCHEMICAL "ANTAGONISM"BETWEEN REE AND PGE IN MAFIC ANDULTRAMAFIC ROCKS AND THEIR PETROGENETIC SIGNIFICANCE -- MASSIFS OF TUVA, RUSSIA -- ULTRAMAFIC XENOLITHS IN ALKALINE BASALTS FROM EIFEL AND VOGELSBERG PROVINCES (GERMANY) -- ITI AND KALIDROMON MASSIFS (GREECE) -- KOMATIITE-BASALT COMPLEX OF NORTH-WEST VIETNAM -- KOMATIITE-BASALT COMPLEXES OF GORGONA ISLAND(COLOMBIA), ALEXO (ONTARIO, CANADA), ONVERWACHT,BARBERTON, PERSEVERANCE (AFRICA) AND KAMBALDA (WESTAUSTRALIA) PROVINCES -- BUSHVELD MASSIF (SOUTH AFRICA) -- MUSKOX MASSIF (CANADA) -- DISCUSSION AND CONCLUSION -- REFERENCES -- Chapter 3: THE SYNTHESIS OF PLATINUM COMPLEXES OF CYCLIC PHOSPHINES AND BISPHOSPHINES -- ABSTRACT -- INTRODUCTION.1. FIVE- AND SIX-MEMBERED P-HETEROCYCLES ASP-LIGANDS IN PLATINUM COMPLEXES -- 2. THE DOUBLE KABACHNIK-FIELDS REACTION -- DEVELOPMENT OF NOVEL BIDENTATE P-LIGANDS -- 3. EXPERIMENTAL FOR THE THEORETICAL CALCULATIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 4: PLATINUM FILMS ON YSZ WITH DIFFERENT TYPES OF GRAIN BOUNDARIES -MICROSTRUTURE CHANGES DUE TO ANNEALING AND OXYGEN EXCHANGE -- ABSTRACT -- 1. INTRODUCTION -- 2. EXPERIMENTAL -- 2.1. Preparation of the Platinum Films -- 2.2. Annealing -- 2.3. Polarisation -- 2.4. Characterisation -- 3. RESULTS AND DISCUSSION -- 3.1. Effect of Annealing -- 3.2. Effect of Oxygen Exchange -- 3.3. Summary -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 5: PLATINUM NANOPARTICLES AND INFLAMMATION -- ABSTRACT -- 1. INTRODUCTION -- 2. ULTRAVIOLET-INDUCED SKIN INFLAMMATION -- 3. PROTECTIVE EFFECT OF NANO-PTS AGAINST ULTRAVIOLET INDUCED SKIN INFLAMMATION -- 4. PROTECTIVE EFFECT OF NANO-PTS AGAINST RANKL STIMULATED OSTEOCLASTOGENESIS AND CIGARETTE SMOKE INDUCED PULMONARY INFLAMMATION -- 5. PROTECTIVE EFFECT OF NANO-PTS AGAINST HYPERTHERMIA INDUCED INFLAMMATION -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 6: PLATINUM-HALIDE SQUARE-PRISM COMPOUNDS: NOVEL GROUND STATES AND THEIR OPTICAL FEATURES -- Abstract -- 1. Introduction -- 2. Group-Theoretical Analysis -- 3. Quantum Phase Competition -- 4. Band Structure -- 5. Optical Observations -- Acknowledgments -- A. Momentum Representation of the Hamiltonian -- B. Point Groups Relevant to Square-Prism-ShapedMX Com-pounds -- References -- Closing Remarks -- INDEX.In this book, the authors present current research in the study of the compounds, production and applications of platinum. Topics discussed include the structural aspects of platinum coordination complexes; the problems of geochemical antagonism between REE and PGE in mafic and ultramafic rocks and their petrogenetic significance; the synthesis of platinum complexes of cyclic phosphines and bisphosphines; platinum films YSZ with different types of grain boundaries; platinum nanoparticles and inflammation; and platinum-halide square-prism compounds and their optical features.Materials science and technologies series.Chemical engineering methods and technology.PlatinumPlatinum.669/.24Varennikov Leonid1870139Yedemsky Eduard1870140MiAaPQMiAaPQMiAaPQBOOK9910967546003321Platinum4478498UNINA12590nam 22007935 450 991076689240332120251116200647.09783031490187303149018510.1007/978-3-031-49018-7(MiAaPQ)EBC30974062(Au-PeEL)EBL30974062(DE-He213)978-3-031-49018-7(CKB)29084009200041(OCoLC)1411033043(EXLCZ)992908400920004120231126d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27–30, 2023, Proceedings, Part I /edited by Verónica Vasconcelos, Inês Domingues, Simão Paredes1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (764 pages)Lecture Notes in Computer Science,1611-3349 ;14469Print version: Vasconcelos, Verónica Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications Cham : Springer,c2024 Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Deblur Capsule Networks -- 1 Introduction -- 2 Related Works -- 3 Deblur Capsule Networks -- 3.1 Blur Type Classification -- 3.2 Point Spread Function Reconstruction -- 3.3 Image Deep Regularized Deconvolution -- 4 Experiments and Analysis -- 4.1 DbCN Optimization Procedure -- 4.2 Synthetic Camera Motion Blur -- 4.3 Synthetic Multi-domain Blur -- 4.4 Ablation Study -- 5 Conclusions and Future Works -- References -- Graph Embedding of Almost Constant Large Graphs -- 1 Introduction -- 2 Graphs and Graph Embedding -- 3 GraphFingerprint: An Embedding for Almost Constant Graphs -- 3.1 Algorithm Input Parameters -- 3.2 Local Substructures -- 3.3 GraphFingerprint Definition -- 3.4 GraphFingerprint Examples -- 4 Experimental Section -- 4.1 From Metal-Oxide Nanocompound to GraphFingerprint -- 4.2 Toxicity Prediction Based on Global Features -- 4.3 Toxicity Prediction Based on GraphFingerprints -- 4.4 Toxicity Prediction Based on Global Features and GraphFingerprints -- 5 Conclusions -- 6 Future Work -- References -- Feature Importance for Clustering -- 1 Introduction -- 2 Cluster Analysis -- 3 Proposed Methods -- 3.1 Prototype-Based Feature Importance -- 3.2 SHAP-Based Feature Importance -- 4 Experimental Simulations -- 5 Concluding Remarks -- References -- Uncovering Manipulated Files Using Mathematical Natural Laws -- 1 Introduction -- 2 Related Work -- 3 Benford's Law Fundamentals -- 3.1 Benford's Law Statement -- 4 Dataset -- 5 Benford's Law-Based Method -- 5.1 Pre-processing -- 5.2 Processing -- 5.3 Median Absolute Deviation -- 5.4 Evaluation Metrics -- 6 Results -- 6.1 Analysis of Results -- 7 Conclusions and Future Work -- References -- History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation -- 1 Introduction.2 Related Work -- 2.1 Identification of SFOs -- 2.2 Background Dependency -- 3 Methodology -- 3.1 Notation and Preliminaries -- 3.2 Computation of Incremental SVD -- 3.3 History Based Incremental SVD (hi-SVD) -- 4 Experimental Results -- 4.1 Datasets -- 4.2 SFO Status Identification Experiment -- 4.3 Foreground Segmentation Experiment -- 5 Conclusion -- References -- Vehicle Re-Identification Based on Unsupervised Domain Adaptation by Incremental Generation of Pseudo-Labels -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 DBSCAN Pseudo-Labels -- 3.2 Fine-Tuning -- 3.3 Unsupervised Domain Adaptation -- 4 Experimental Validation -- 4.1 Dataset and Evaluation Environment -- 4.2 Implementation Details -- 4.3 Ablation Study for Eps-Neighborhood in DBSCAN -- 4.4 Ablation Study for Increasing the Number of Cycles in the Generation of Pseudo-Labels -- 5 Conclusions -- References -- How to Turn Your Camera into a Perfect Pinhole Model -- 1 Introduction -- 2 Methods -- 2.1 Gaussian Processes -- 2.2 Constructing an Ideal Pinhole Camera -- 2.3 The Datasets -- 3 Results -- 3.1 Collineation Assumption -- 3.2 Reprojection Error -- 3.3 Distortion Removal -- 4 Discussion -- 5 Conclusion -- A Zhang's Method -- B Simplified Zhang's Method -- References -- Single Image HDR Synthesis with Histogram Learning -- 1 Introduction -- 2 Method -- 2.1 LDR2EDR by Histogram and Resolution difference -- 2.2 EDR2HDR by Cumulative Histogram Learning -- 2.3 Fine-Tuning with Reinforcement Learning -- 3 Experiments -- 4 Conclusion -- References -- But That's Not Why: Inference Adjustment by Interactive Prototype Revision -- 1 Introduction -- 2 Prototype-Based Learning -- 3 Interactive Prototype Revision -- 4 Results -- 5 Conclusion -- References -- Teaching Practices Analysis Through Audio Signal Processing -- 1 Introduction -- 2 Related Work -- 3 Dataset Description.4 Classroom Activity Detection -- 4.1 Training and Testing Data -- 4.2 Unsupervised Diarization Approach -- 4.3 Supervised Audio Classification -- 4.4 Experiments and Results -- 5 Additional Tools for English Lessons Analysis -- 5.1 Language Detection -- 5.2 Key Phrases Matching -- 5.3 User Interface for Education Technicians -- 6 Conclusions and Further Work -- References -- Time Distributed Multiview Representation for Speech Emotion Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Strategy -- 3.1 Database Description -- 3.2 General Architecture -- 3.3 Step 1 - Initial Procedures -- 3.4 Steps 2 and 3 - Algorithms and Combiner -- 3.5 Steps 4 and 5 - LSTM and Emotion Classification -- 4 Experimental Results -- 4.1 Experiment 1 - Results for All RAVDESS Database -- 4.2 Experiment 2 - Database Divided by Intensity -- 4.3 Experiment 3 - LOSO Protocol -- 5 Discussions -- 6 Conclusion -- References -- Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Database -- 2.2 Methodology -- 3 Results and Discussion -- 3.1 Feature Evaluation -- 3.2 Performance of the HP Classifier -- 4 Conclusion -- References -- Abandoned Object Detection Using Persistent Homology -- 1 Introduction -- 2 From Background Subtraction to Simplicial Complex -- 3 Surveillance Points -- 4 Filtration -- 5 Persistent Homology and Topological Signature -- 6 Detecting Abandoned Objects -- 7 Experimental Results -- 8 Conclusion and Future Works -- References -- Interactive Segmentation with Incremental Watershed Cuts -- 1 Introduction -- 2 Watershed Cuts -- 3 Semi-supervised Watershed Cut Algorithm with Interactions -- 3.1 Tree-Node Marking -- 3.2 Pixel Labeling -- 3.3 Incremental Workflow -- 4 Experiments -- 4.1 Experiment with User Generated Seeds.4.2 Experiment with Randomly Generated Seeds -- 5 Conclusion -- References -- Supervised Learning of Hierarchical Image Segmentation -- 1 Introduction -- 2 Ultrametric Dataset -- 3 Model -- 4 Evaluation Metrics -- 5 Experiments -- 6 Conclusion -- References -- Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification -- 1 Introduction -- 2 Super-Resolution -- 2.1 Super-Resolution Convolution Neural Network (SRCNN) -- 2.2 Modified 3D Residual-in-Residual Dense Block (m3DRRDB) -- 2.3 SwinIR Transformer -- 3 Scene Classification -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Settings -- 5 Results and Discussion -- 5.1 Experiment 1: Ranking of Super-Resolution Methods -- 5.2 Experiment 2: Impact of Super-Resolution on Aerial Scene Classification -- 6 Conclusion -- References -- Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Datasets -- 3.2 Models -- 3.3 Ensemble -- 3.4 Evaluation -- 3.5 Training Configuration -- 3.6 Execution Environment -- 4 Results and Discussion -- 5 Conclusions -- References -- Leveraging Question Answering for Domain-Agnostic Information Extraction -- 1 Introduction -- 2 Related Work -- 3 Question Answering for Information Extraction -- 3.1 Models and Questions -- 3.2 Approach -- 3.3 Visual Explainability on Evaluation -- 4 Case Studies -- 4.1 Application to Toxicology Analysis -- 4.2 Application to Finance -- 5 Conclusion -- References -- Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves -- 1 Introduction -- 2 Dataset Collection -- 3 Proposed Approach -- 3.1 Image-to-Text Track -- 3.2 Localization Track -- 3.3 Selection Track -- 3.4 Report Generation -- 4 Results -- 5 Conclusions and Future Works.References -- A Self-Organizing Map Clustering Approach to Support Territorial Zoning -- 1 Introduction -- 2 Related Work -- 2.1 Zoning with Self-Organizing Maps -- 2.2 Clustering Ordinal Categorical Data -- 3 Material and Methods -- 3.1 The Alto Taquari Basin - MS/MT, Brazil -- 3.2 Clustering Categorical Ordinal Data -- 3.3 Clustering Assessing -- 4 Results and Discussion -- 5 Conclusions -- References -- Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions -- 1 Introduction -- 2 Proposed Approach -- 2.1 Spectral Graph Convolutional Networks -- 2.2 Transformer Encoder -- 2.3 Surgical Skill Classifier -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 Results -- 4 Conclusion -- References -- Deep Learning in the Identification of Psoriatic Skin Lesions -- 1 Introduction -- 2 Background and Literature Review -- 3 Methodology -- 3.1 Understanding the Problem -- 3.2 Deep Learning -- 3.3 Dataset -- 3.4 Classification Architectures -- 3.5 Training -- 4 Results -- 4.1 CLAHE -- 4.2 Type of Input Image -- 4.3 Data Augmentation -- 5 Discussion -- 6 Mobile Application -- 7 Conclusion -- References -- WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild -- 1 Introduction -- 2 Related Work -- 2.1 Detection Methods -- 2.2 Segmentation Methods -- 2.3 Methods for Estimating Fruit Ripeness in Images -- 3 Proposed Method -- 3.1 Fruit Detection and Segmentation -- 3.2 Image Alignment -- 3.3 Determination of Physicochemical Parameters -- 4 Dataset -- 5 Experiments -- 5.1 Implementation Details -- 5.2 Metrics -- 5.3 Performance of the Proposed Approach -- 5.4 Impact of Alignment Phase -- 5.5 Impact of Model Architecture -- 5.6 Hard Samples -- 6 Conclusion and Future Work Prospects -- References.Depression Detection Using Deep Learning and Natural Language Processing Techniques: A Comparative Study.This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.Lecture Notes in Computer Science,1611-3349 ;14469Pattern recognition systemsMachine learningComputer visionComputer engineeringComputer networksApplication softwareAutomated Pattern RecognitionMachine LearningComputer VisionComputer Engineering and NetworksComputer and Information Systems ApplicationsPattern recognition systems.Machine learning.Computer vision.Computer engineering.Computer networks.Application software.Automated Pattern Recognition.Machine Learning.Computer Vision.Computer Engineering and Networks.Computer and Information Systems Applications.006.4Vasconcelos Verónica1448669Domingues Inês0Paredes Simão1448670MiAaPQMiAaPQMiAaPQBOOK9910766892403321Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications3644362UNINA