This study proposes two robust machine learning architectures for classification and regression based on distinct datasets. Firstly, we delve into a crop recommendation dataset obtained from Kaggle, ...

#DESCRIPTION: This project was developed as part of CodTech Internship Task-1, where I implemented a basic Decision Tree Classifier using Python. The objective was to understand how decision trees ...

Watch as a unique pipe is handcrafted from Madroño wood (strawberry tree) using simple, amateur tools. This video takes viewers through the entire process of making a pipe without the use of ...

Explaining the Bucks' bold decision to use the stretch provision on Damian Lillard and sign Myles Turner Milwaukee got creative on Tuesday, but did it get much better?

The Supreme Court, ruling in the birthright citizenship case, reined in federal judges' ability to issue nationwide injunctions.

Trump praises Supreme Court decision limiting use of nationwide injunctions President Trump is holding a news conference at the White House Friday, after what White House press secretary Karoline ...

This was achieved by deriving representational ECG features using a variational autoencoder (VAE) and applying dimensionality reduction via learning a tree (DDRTree) 12 to create a compact, ...

ABSTRACT Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify ...

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.

While a diagnostic decision support engine outperformed ChatGPT and Gemini at ascertaining disease in a new Mass General Brigham study, generative artificial intelligence models also performed well, ...