Abstract: This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation in medical ...

ABSTRACT: The rapid proliferation of Internet of Things (IoT) devices in healthcare systems has introduced critical security challenges, particularly in resource-constrained environments typical of ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

I am a huge fan of Danielle Navarro's book Learning Statistics with R. It is the most accessible statistics book I know of. My students love it. I love it. It's free, and it comes in not only R, but ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...

Inferential statistics assessments were conducted at varying levels of prompt specificity (“Basic,” “Intermediate,” and “Advanced”). Specific tests included chi-square, Pearson correlation, ...

Compared to cardiac hypertrophy development, much less is known about the molecular mechanisms that mediate hypertrophy regression. One reason for this is that regression in most species occurs slowly ...

Objective: This research aims to evaluate the possible association between pulsatile near infrared spectroscopic waveform features and induced changes in intracranial pressure in healthy volunteers.

清华大学出版社近期拟引进 Taylor & Francis Group今年出版的一本 利用Python实现统计和数据可视化类英文著作，该著作旨在为有兴趣在数据科学与分析以及一般统计分析领域的学生和从业人员提供统计学方面的桥梁。 我社计划翻译成中文出版，以应广大读者的需求 ...