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http://localhost:8080/xmlui/handle/123456789/147694| Title: | Interpreting Cardiac Electrograms - From Skin to Endocardium |
| Authors: | Kevin A. Michael |
| Issue Date: | 2017 |
| Publisher: | IntechOpen |
| link: | https://www.intechopen.com/books/interpreting-cardiac-electrograms-from-skin-to-endocardium |
| Keywords: | Diseases of the circulatory (Cardiovascular) system;landslide;bagging ensemble;Logistic Model Trees;GIS;Vietnam;colorization;random forest regression;grayscale aerial image;change detection;gully erosion;environmental variables;data mining techniques;SCAI;GIS;mapping;single-class data descriptors;materia medica resource;Panax notoginseng;one-class classifiers;geoherb;change detection;convolutional network;deep learning;panchromatic;remote sensing;remote sensing image segmentation;convolutional neural networks;Gaofen-2;hybrid structure convolutional neural networks;winter wheat spatial distribution;classification-based learning;real-time precise point positioning;convergence time;ionospheric delay constraints;precise weighting;landslide;weights of evidence;logistic regression;random forest;hybrid model;traffic CO;traffic CO prediction;neural networks;GIS;land use/land cover (LULC);unmanned aerial vehicle;texture;gray-level co-occurrence matrix;machine learning;crop;landslide susceptibility;random forest;boosted regression tree;information gain;landslide susceptibility map;ALS point cloud;multi-scale;classification;large scene;coarse particle;particulate matter 10 (PM10);landsat image;machine learning;support vector machine;high-resolution;optical remote sensing;object detection;deep learning;transfer learning;land subsidence;Bayes net;naïve Bayes;logistic;multilayer perceptron;logit boost;change detection;convolutional network;deep learning;panchromatic;remote sensing;leaf area index (LAI);machine learning;Sentinel-2;sensitivity analysis;training sample size;spectral bands;spatial sparse recovery;constrained spatial smoothing;spatial spline regression;alternating direction method of multipliers;landslide prediction;machine learning;neural networks;model switching;spatial predictive models;predictive accuracy;model assessment;variable selection;feature selection;model validation;spatial predictions;reproducible research;Qaidam Basin;remote sensing;TRMM;artificial neural network;n/a |
| ISBN: | 9789535135715 9789535135722 |
| Theme: | 教科書-醫學類 |
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