11/23/2023 0 Comments Universal maps downloader 9.922 image![]() For these reasons, phenotypic selection (PS) is being replaced by genomic selection (GS) in many crops around the world, since it makes it possible to select the best candidate genotypes early in time using a statistical learning model that is able to learn the relationship between the genotyped (marker data) and phenotyped information of the training set ( Meuwissen et al., 2001). The selection of the best candidate genotypes is done by observing the phenotype of traits of interest in conventional breeding programs, which is very expensive since all the candidate genotypes have to be planted in the field. All deep learning models were implemented in Tensorflow as back-end and Keras as front-end, which allows implementing these models on moderate and large data sets, which is a significant advantage over previous GS models for multivariate count data. ![]() We found that the proposed MPDL outperformed univariate Poisson deep neural network models, but did not outperform, in terms of prediction, the univariate generalized Poisson regression models. The proposed MPDN model was compared to conventional generalized Poisson regression models and univariate Poisson deep learning models in two experimental data sets of count data. The MPDN model uses the minus log-likelihood of a Poisson distribution as a loss function, in hidden layers for capturing nonlinear patterns using the rectified linear unit (RELU) activation function and, in the output layer, the exponential activation function was used for producing outputs on the same scale of counts. Since there is a lack of efficient methodologies for multivariate count data outcomes, in this paper, a multivariate Poisson deep neural network (MPDN) model is proposed for the genomic prediction of various count outcomes simultaneously. Unfortunately, there is no universal model that can be used for all types of predictions for this reason, specific methodologies are required for each type of output (response variables). This is a predictive methodology, since it uses learning methods to perform its task. Supported OS: Windows 11, Windows 10, Windows 8.The paradigm called genomic selection (GS) is a revolutionary way of developing new plants and animals.Technical Details and System Requirements Tianditu satellite map (Lat/Long) (China). ![]() The National Map Normal (United States). ![]() Export to SQLite DB(for Oruxmaps/RMaps/LocusMap).Features of AllMapSoft Universal Maps Downloader You can view downloaded maps by Maps Viewer or combine them into a big BMP, jpg, or tif file by Maps Combiner, and also you can export all tiles into an MBTiles format database. You can view downloaded maps by Maps Viewer or combine them into a big BMP, jpg, or tif file by Maps Combiner, and also you can export all tiles into an MBTiles format database.Īll downloaded small images are saved on the disk. All downloaded small images are saved on the disk. Universal Maps Downloader is a tool that helps you get small tile images from Google Maps, Yahoo Maps, Bing Maps, OpenStreet Maps, Yandex Maps, and Ovi and MapQuest Maps. Overview of AllMapSoft Universal Maps Downloader Free Download AllMapSoft Universal Maps Downloader for Windows PC is a tool that helps you to get small tile images from Google Maps, Here Maps, OpenStreetMap, Yandex Maps, The national map, Yahoo Maps, Mapquest, Gaode Map, Tencent Maps, Baidu Maps, Tianditu, ArcGIS Online Maps, OneMap for Singapore, Whereis for Australia, many.CZ, Mappy, Waze Livemap, Hikebikemap, Sentinel-2 map, Strava Global Heatmap, Wikimapia, and GoMap.Az, Longdo Map, Bhuvan, National Map Australia, Map of UAE, ViaMichelin Map, MapFan, etc.
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