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Early in the process I figured I could use machine learning to identify the factors that made me gain or lose weight. I used a simple method: every morning I would weigh myself, and record both the new weights and whatever I did in the past ~24 hours, not just the food I ate, but...
Please note; most Pangolin dependencies are optional - to disable a dependency which may be causing trouble on your machine, set the BUILD_PANGOLIN_(option) variable to false with a cmake configuration tool (e.g. ccmake or cmake-gui). ...
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Create a folder on client machine from a web application. Create a folder with permissions set to This Folder, subfolders create a hyperlink in excel using c# Create a logger in a static class. Create a NEW file excel without using COM Interop create a new log file daily using enterprise ...
COSMAS has two functions for reading data, reflecting the two most common imaging data formats: TIF stack (with slices corresponding to single frames), and an image sequence in a folder (TIF, PNG, or JPG images can be read). Both functions return a 3D matrix representing the recording, wit...
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Subsequently, each sample was crushed and milled by a Leading-Coming-Air Type crushing machine or a Dry Ball mill. According to the designed proportions, the fine powders of the raw materials were thoroughly mixed to ensure good homogeneity. Then, a controlled amount of water (about 25%) was...
It is an unsupervised machine learning algorithm (it does not need label, just train it on normal data!) Its efficiency can be scaled with its input parameter m: the maximal size of any autoencoder in the ensemble layer (smaller autoencoders are exponentially cheaper to train and execute) ...