Moreover, the randomness of k-value selection in k-nearest neighbour (KNN) leads to some limitations in the prediction performance of intelligent transportation prediction. To address these challenges ...

The K-Nearest Neighbors (KNN) algorithm is a supervised learning method used for classification and regression. It classifies a data point based on the majority class of its K nearest neighbors (using ...

Parkinson’s Disease (PD) has become the second most common degenerative disease for the elderly. The most important feature of PD is the loss of neuronal function, which in turn greatly affects the ...

The outcomes of the experiment demonstrated that RF is the best classifier for the generated network. Without losing typical performance, the model was able to swiftly and effectively identify and ...