Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
This Jupyter Notebook (thompson_cell_plan_project.ipynb) implements a machine learning pipeline to predict customer cancellations of cell phone plans. The project involves data loading, exploration, ...
Abstract: The SAR change detection processing sequence includes SAR image stack formation (reference and surveillance), detection, and classification. The currently used approaches for classification ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Abstract: Logistic regression is a supervised learning algorithm widely used in binary classification scenarios. It can predict the probability of time occurrence with probability. In this paper, to ...
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