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

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

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 ...

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 ...

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 ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

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 ...

OpenAI’s latest generative AI model is much better at code generation than previous models, but slower and more expensive — and not quite ready for production. “Ho, hum,” I thought in response to the ...