The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

In this paper, we present a new framework - task-oriented modeling, learning and recognition which aims at understanding the underlying functions, physics and causality in using objects as “tools”.

LiDAR-based 3D object detection is crucial for various applications but often experiences performance degradation in real-world deployments due to domain shifts. While most studies focus on ...

Object-oriented convolutional neural network (CNN) has been proven to be an effective classification method for very fine spatial resolution remotely sensed imagery. It can obtain higher accuracy and ...

MIT’s VaxSeer uses AI to predict flu virus evolution and antigenicity, promising more accurate strain selection for vaccines and better health outcomes. Elon Musk’s AI startup introduces a lightweight ...

To address these challenges, this study implemented and evaluated a novel laboratory-result-oriented modular teaching model, explicitly integrating ISO 15189 principles. The study assessed the design, ...

Netflix replaced a CQRS implementation using Kafka and Cassandra with a new solution leveraging RAW Hollow, an in-memory object store developed internally. Revamped architecture of Tudum offers ...

This file is written using object-oriented and functional programming and is used for any project that works with databases and CRUD operations (CREATE, READ, UPDATE, DELETE) and is used for the MYSQL ...