School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China National Key Laboratory of Oil & Gas Reservoir Geology and Exploitation (Southwest Petroleum University), ...
The final, formatted version of the article will be published soon. Objectives: To analyse SR and SL combinations among elite swimmers to better understand stroke strategies across all race distances ...
Prostate-specific antigen (PSA) density is an easily available predictor for clinically significant PCa. While transrectal ultrasound (TRUS) is utilized for PSA density (PSAD) estimation, ...
I would like to the pass the tool call error message back to the LLM so that the LLM can correct itself. Is that possible? Pydantic AI supports something similar ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
A known leaker and dummy unit purveyor has shared their latest batch of iPhone 17 units that showcase possible color options, though some don't quite line up with previous leaks. It won't be long ...
Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
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