In our everyday life, we are surrounded by objects that have properties enabling them to perform certain functions ... this all-in-one class of metamaterials can become rigid to resist the application ...

Since Java 21, wrapper classes have played an increasingly sophisticated role in Java’s type system. Here’s everything you ...

Consequently, there is a high demand for theoretical models to predict these functions. Here, we trained and validated, with an external set, a Markov Chain Model (MCM) that classifies proteins by ...

Nowadays, high-resolution remote sensing images provide rich data sources and deep learning models show powerful feature representation capability for remote sensing object detection. However, due to ...

Classes and objects in Java must be initialized before they are used. You’ve previously learned that class fields are initialized to default values when classes are loaded, and that objects are ...

By exploring the localizable representations in deep CNN, weakly supervised object localization (WSOL) methods could determine the position of the object in each image just trained by the ...

The prevailing methodology for protein function prediction, therefore, relies on the use of parallel methods. For example, sequence-based methods alongside structure and genomics-based methodologies.