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Download and extract the CIFAR-10 data set from -10-matlab.tar.gz. The data set is about 175 MB. Set downloadFolder to the location of the data.url = ' kriz/cifar-10-matlab.tar.gz';downloadFolder = tempdir;filename = fullfile(downloadFolder,'cifar-10-matlab.tar.gz');dataFolder = fullfile(downloadFolder,'cifar-10-batches-mat');if exist(dataFolder,'dir') fprintf("Downloading CIFAR-10 dataset (175 MB)... "); websave(filename,url); untar(filename,downloadFolder); fprintf("Done.\n")endConvert the data to numeric arrays using the helper function loadCIFARData, which is used in the example Train Residual Network for Image Classification. To access this function, open the example as a live script.[XTrain,YTrain,XValidation,YValidation] = loadCIFARData(downloadFolder);

Download File Aerial scan 8.rar

To download the data, go to The Cancer Imaging Archive website. Download the chest files from the "Images (DICOM, 952 GB)" data set using the NBIA Data Retriever. Specify the dataDir variable as the location of the downloaded data. When the data is downloaded successfully, dataDir contains 50 subfolders with names such as "C002" and "C004", ending with "C296".

Create a directory to store the Zurich RAW to RGB data set.imageDir = fullfile(tempdir,'ZurichRAWToRGB');if exist(imageDir,'dir') mkdir(imageDir);end To download the data set, request access using the Zurich RAW to RGB dataset form. Extract the data into the directory specified by the imageDir variable. If the extraction is successful, then imageDir contains three directories: full_resolution, test, and train.

To download the data set, go to this link: -datasets/SID/Sony.zip. Extract the data into the directory specified by the dataDir variable. When extracted successfully, dataDir contains the directory Sony with two subdirectories: long and short. The files in the long subdirectory have a long exposure and are well-exposed. The files in the short subdirectory have a short exposure and are quite underexposed and dark.

To download the data set, go to this link: Concrete Crack Images for Classification. Extract the ZIP file to obtain a RAR file, then extract the contents of the RAR file into the directory specified by the dataDir variable. If the extraction is successful, then dataDir contains two subdirectories: Negative and Positive.

Download and extract the Turbofan Engine Degradation Simulation data set.filename = matlab.internal.examples.downloadSupportFile( ... "nnet","data/TurbofanEngineDegradationSimulationData.zip");unzip(filename,dataFolder)

Download the PhysioNet ECG Segmentation data set from the _ECG_segmentation by downloading the ZIP file QT_Database-master.zip. The data set is 72 MB. Set downloadFolder to the location of the data.downloadFolder = tempdir;url = " _ECG_segmentation/raw/master/QT_Database-master.zip";filename = fullfile(downloadFolder,"QT_Database-master.zip");dataFolder = fullfile(downloadFolder,"QT_Database-master");if exist(dataFolder,"dir") fprintf("Downloading Physionet ECG Segmentation data set (72 MB)... ") websave(filename,url); unzip(filename,downloadFolder); fprintf("Done.\n")end

To download this data, use the function financeReports attached to the example Generate Domain Specific Sentiment Lexicon (Text Analytics Toolbox) as a supporting file. To access this function, open the example as a Live Script.year = 2019;qtr = 4;maxLength = 2e6;textData = financeReports(year,qtr,maxLength);

Execute this code to download the data set. url = ' _LidarData.tar.gz';outputFolder = fullfile(tempdir,'WPI');lidarDataTarFile = fullfile(outputFolder,'WPI_LidarData.tar.gz');if exist(lidarDataTarFile, 'file') mkdir(outputFolder); disp('Downloading WPI Lidar driving data (760 MB)...'); websave(lidarDataTarFile, url); untar(lidarDataTarFile,outputFolder); endlidarData = load(fullfile(outputFolder, 'WPI_LidarData.mat'));Depending on your internet connection, the download process can take some time. Alternatively, you can download the data set directly to your local disk from your web browser using the URL, and extract the WPI_LidarData folder. If you do so, change the outputFolder variable in the code to the location of the downloaded file.

Depending on your internet connection, the download process can take some time. Alternatively, you can download the data set to your local disk from your web browser using the URL, and then extract the Pandaset_LidarData folder. If you do so, change the outputFolder variable in the code to the location of the downloaded file.

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If you'd prefer not to use Git, you can get the source with the 'Download ZIP' button on the right. The built-in Windows zip utility will mark the contents of zip files downloaded from the Internet as unsafe to execute, so right-click the zip file and select 'Properties...' and 'Unblock' before decompressing it. Third-party zip utilities don't normally do this.

This will download binary content for the engine, as well as installing prerequisites and setting up Unreal file associations. On Windows, a warning from SmartScreen may appear. Click More info, then Run anyway to continue.

If you downloaded the source as a .zip file, you may see a warning about it being from an unidentified developer (because .zip files on GitHub aren't digitally signed).To work around it, right-click on Setup.command, select Open, then click the Open button.

You can find the source code files at ASP.NET Core binaries for Linux. This is in .tar.gz format because that format is common in the Linux world. You can also download the buggyamb_v1.1 in .zip format for Windows.

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