This method follows the kernel prediction and image restoration where the model adopts itself for the best kernel match. The model uses the technologies like Probabilistic Neural Network, Hough ...

A project on brain tumor detection using hybrid neural network classifiers. CNN is used along with one of random forest, logistic regression, KNN, naive bayes, support vector machine or gradient boost ...

This notebooks have the purpose to use Convolutional Neural Network (TensorFlow2) and Conventionals Models like Random Forest, Logistic Regression, KNN and SVM to classify images from the CIFAR-10 ...

Using a random forest regression model, they have identified the properties that affect protein adsorption and cell adhesion onto these films, providing a guideline for the development of anti ...