Oriented object detection in remote sensing is a critical task for accurately location and measurement of the interested targets. Despite of its success in object detection, deep learning-based ...

Learn what polymorphism is, how it works, and what are some of the best practices for using it in object-oriented data modeling. Skip to main content LinkedIn Articles ...

Get started modeling entities and relationships for Java data persistence, using an example application based on Java 21 with Hibernate 6.3. Topics Spotlight: New Thinking about Cloud Computing ...

Intel expects that this internal foundry model will bring cost savings of more than $8-10 billion by the end of 2025. An arm’s length with the company’s internal chip operations also means that Intel ...

The data block is structured to contain the instances of the object-oriented model. Here, a table is defined for every class declared in the model, meaning that the final result will be having 21 ...

The object-oriented methodologies were introduced in the early 1990s’ and were inspired by a large group of leading data scientists. It is a collection of objects that contain stored values, in ...

For instance, in the example under consideration, parameters like dimensions and type are relevant to crystal tube and color and number pertaining to the Box (Fig. 3). Applying this model to the ...