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    Evolution, Monitoring and Predicting Models of Rockburst Precursor Information for Rock Failure / by Wang, Chunlai

    Published 2018
    Table of Contents: “…Introduction.-  Experimental Materials and Equipment -- The Mechanism and Predicting Theory-Based Rockburst Evolution -- Three-dimensional Reconstruction Model and Numerical Simulation of Rock Fissures.- The Patterns of Dynamic Evolution of Cracks in Rock Failure.- Experiment Investigation of AE Precursor Information for Rockburst -- Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst -- Predicting Model of Rockburst Based on Nondeterministic Theory -- Field Case.…”
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  10. 26570

    Introduction to Apparel Production Workbook by Apple, Laurie M.

    Published 2023
    Table of Contents: “…Introduction -- Unit I: Sewing Supplies and Terminology -- Unit II: Fabrics and Materials Used in Sewing -- Unit III: Pattern Envelope, Cutting and Marking -- Unit IV: Learning the Parts of the Sewing Machine and Serger -- Unit V: How to Thread JUKI DDL 8700 Sewing Machine -- Unit VI: Sewing Practice and Samples -- Unit VII: Sewing Projects -- Appendix…”
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  11. 26571

    Toward a Biopsychosocial Welfare State? How Medicine and Psychology Transform Social Policy /

    Published 2023
    Table of Contents: “…-- Poverty - More than just a lack of material resources? -- Childhood in crisis - Are medicine and psychology part of the problem or part of the solution? …”
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  12. 26572

    Modern IoT Onboarding Platforms for Advanced Applications A Practitioner's Guide to KIS.ME / by Witczak, Marcin, Seybold, Lothar, Bulach, Eric, Maucher, Niko

    Published 2023
    Table of Contents: “…1.Introduction -- 2.Onboarding and Preliminary Functionality Training -- 3.Towards Logistic Applications -- 4.Implementing and Using Essential Statistical Process Control -- 5.Mastering System Monitoring and Control -- 6.Towards Advanced Applications -- 7.KIS.API: Towards external communication -- Appendix A KIS.ME commands and their sample applications -- Appendix B KIS.ME Datapoints and their sample applications.…”
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  13. 26573

    Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings /

    Published 2020
    Table of Contents: “…Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection ofDerivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization.…”
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