Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

While I am running the custom object detection model using ultralyics_yolo. My application is got crashing when it is going to detect the first object. These are the logs while running: ...

The dust is beginning to settle on iOS 26, but there is one more smaller improvement that we wanted to make sure that we highlighted: the ability to set custom ringtones on the iPhone without using ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...