Abstract: Deep learning-based methods have achieved state-of-the-art accuracy in epileptic seizure detection. However, the high computational demands of deep neural networks pose a significant ...
Finally, we combined downsampling with corrected human annotations, creating a cleaned dataset for a new round of fine-tuning. Results: Without fine-tuning, the model achieved unweighted and weighted ...
MATLAB is a leading environment for numerical computing, algorithm design, and data analysis used by engineers, researchers, and students worldwide. Prices matter because the total outlay depends on ...
The phenotypic traits of tomato plants reflect their growth status, and investigating these characteristics can improve tomato production. Traditional deep learning models face challenges such as ...
ABSTRACT: Aiming at the complex environment such as uneven illumination and variable target scales in mines, achieving precise and real-time detection of potential collision targets such as personnel ...
Hello, thank you for the great work! I see that in prediction file, you do random downsampling to select the point from pointcloud? Is this also how you do evaluation for the work in paper? Or you use ...
MathWorks, a leading developer of mathematical computing and simulation software, has revealed that a recent ransomware attack is behind an ongoing service outage. Headquartered in Natick, ...
A demonstration of the effects of downsampling (with and without anti-aliasing) on an audio signal, using the built-in handel sample in MATLAB. This project visualizes both time-domain and ...
This study aimed to assess the impact of upsampling and downsampling techniques on the noise characteristics and similarity metrics of scintigraphic images in nuclear medical imaging. A physical ...
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