A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023). Specifically, we ...

Multielement high-entropy carbides (HECs) provide many opportunities for HECs to obtain optimal combinations of various properties, e.g., high strength and high flexibility, leading to high toughness.

The Plant Base is the go to B2B news platform for the plant-based food and beverage industry. Refreshment is your ultimate resource for staying informed and up-to-date on the water cooler, vending, ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...

Abstract: Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely ...

tweet_classification/ │ ├── data/ # CSV dataset files │ └── labeled_data.csv │ ├── models/ # Contains each model's training function │ ├── knn_model.py │ ├── svm_model.py │ ├── ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

High-entropy alloy materials demonstrate exceptional catalytic properties due to their distinctive multi-component attributes and electronic effects. Nonetheless, the extensive data landscape of ...

ABSTRACT: This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from ...