Tree species classification using machine learning and deep learning models of single tree point cloud data. The final step involves analyzing and evaluating the classification results.

We used five-scale gradings for each category, offering several advantages over binary classification in the previous studies. 18 19 Binary classification requires selecting an arbitrary cut-off to ...

For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current state-of-the-art ...

Machine learning approaches often involve evaluating a wide range of models due to various available architectures. This standard strategy can lead to a lack of depth in exploring established methods.

The MDC relies heavily on binary classification, and here the application of automated machine learning (AutoML) was introduced, where each binary classifier is tailored on-the-fly, and is/can be ...

In recent developments, the presence of machine learning and deep learning in object classification in computer vision has brought about significant discoveries. One implementation of classification ...