cycle accurate SystemC models are required. At present the biggest challenge in modeling is to develop a cycle accurate model and the validation of cycle accuracy. Some of these issues of how to ...

Sonar image object detection ... all accurately detected. CIoU-DFL Loss Function: To address the issue of object category imbalance in sonar datasets, we propose the CIoU-DFL loss function. This loss ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE ...

This innovative approach significantly enhances object detection accuracy while reducing reliance ... called a diffusion model, to generate realistic images. They took images of real objects ...

These innovations streamline the model’s neck, reducing complexity while ensuring accurate detection of vehicles across diverse scales, angles, and backgrounds. Evaluations on the UCAS-AOD, VEDAI, UAV ...

Alex Ovechkin is just two goals away from tying "The Great One" for most goals all time. Ovechkin has scored ... The SportsLine Projection Model has simulated the Blackhawks-Capitals matchup ...

The trio of “The White Lotus,” “1923,” and “Reacher” has occupied the Top 3 spots on the chart more often than ... Per Netflix’s usual model, all four episodes of the limited series ...

The model, which can predict where and when lightning strikes are most likely to cause wildfires, achieves over 90% accuracy, a first in wildfire ... risk of wildfires driven by climate change, early ...

As one of the first applied wireless systems, High Frequency (HF) radio systems have long been used for data transmission with many advantages such as flexibility, robustness and long transmission ...