Results: The “fall prevention” use case was developed as part of a German nursing minimum dataset for long-term residential care with 8 basic modules (patient or client demographics) and 11 extension ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

1 Department of Critical Care Medicine, The Brain Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, China. 2 Department of Respiratory Medicine, The Chest Hospital of Guangxi Zhuang Autonomous ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...

YoloLint is a Python tool for validating the structure and annotations of YOLO datasets. It helps detect common issues in directories, YAML files, and label files before model training.

python and pip command Python 3.6 or later version. from evargs import EvArgs evargs = EvArgs() v = evargs.assign(' 1 ', cast=str, trim=True) v = evargs.assign('1 ...

Abstract: Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry. This approach heavily relies on data ...

Abstract: Automatically identifying the musical instruments present in audio recordings is a complex and difficult task. Although the focus has recently shifted to identifying instruments in a ...