Abstract: Predicting clinical outcomes, particularly mortality risk, is a crucial aspect of patient care and management in the medical field. Numerous studies have employed various methods to improve ...
Introduction: To evaluate the feasibility of a WEKA-based machine learning pipeline for detecting post-treatment hemodynamic remodeling by comparing pre- and postoperative cerebral angiographic images ...
1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...
Vulkan v1.50.2 uses VRAM to load models as expected. When loading gpt-oss 120b, I can clearly see that 60G of VRAM gets allocated, plus I can see that the GPU load is ~50% when the text is being ...
We have found that query performance degrades dramatically when using PrimitiveCollections with a complex ValueConverter. What takes 10 seconds under EF8 now takes over a minute in EF10. This is a ...
Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results