c-lasso is a Python package that enables sparse and robust linear regression and classification with linear equality constraints on the model parameters. For detailed info, one can check the ...

Abstract: RS (Remote Sensing) image classification based on ANN (Artificial Neural Network) is carried out with high spatial resolution images of the wetland, which is the most important ecological ...

Cat-Dog Classification CNN(Convolutional Neural Networks) Flask web-app. This model takes input as format of 256 x 256 x 3 and output as a sigmoid function. # ...

As a Monash staff member it is important to determine the security classification of the data or information you are working with. This security classification will determine your responsibilities ...

Abstract: Research has been conducted on the classification of different types of meat using Near Infrared (NIR) spectroscopy method. This research uses 6 types of meat, namely, beef, chicken, lamb, ...

Convolutional neural networks (CNNs) have been originally used for computer vision tasks, such as image classification. While several digital soil mapping studies have been assessing these deep ...

tascCODA posits a Dirichlet-Multinomial model for Y i,⋅ for each sample i ∈ 1…, n, thus accounting for the compositional nature of the count data. The covariates are associated with the features ...

Ann Dunkin speaks at the 8th Annual Lowering the Cost of Government with IT Summit in 2016. (Scoop News Group) The Department of Energy is working to increase the availability of datasets held by the ...