Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: The random vector functional link (RVFL) neural network has shown the potential to overcome traditional artificial neural networks' limitations, such as substantial time consumption and the ...

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

Abstract: This study develops a random forest and support vector machine model combined with various technical indicators for stock price analysis. This model uses these indicators as input features ...

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to communicate and collaborate seamlessly. It works by using ...

Objective: In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Natural Resources Policy Investigation and Evaluation Center of Jiangxi Province, Nanchang, Jiangxi, China Colluvial landslides widely developed in mountainous and hilly areas have the characteristics ...

Do you often find yourself using passwords like “123abc,” your name, or even your pet’s name? If so, you’re unintentionally making things easier for hackers to crack your secrets! But worry not—today, ...