Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

The top police official in Washington, D.C., pressured commanders to lower classifications of crime and retaliated against those who reported spikes, creating a widespread culture of fear and ...

Abstract: Due to the development of the digital content, there is a high demand for automated document classification systems. In this paper, the author proposes an AI-based statistical approach to ...

Background: Growing interest in the Nova food classification system surged among various stakeholders, driven primarily by compelling evidence linking the consumption of ultra-processed foods (UPFs) ...

Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...

ABSTRACT: This paper examines the utilization of machine learning methods to predict the values of valuable metals, specifically gold, silver, palladium, and platinum, from 2017 to 2023. Accurate ...

This project utilizes real-world electroencephalography (EEG) data provided by Harvard Medical School on Kaggle (Jin et al., 2024), consisting of harmful brain activity in EEG data that needs ...

Abstract: Statistical classification methods can be applied to images of historical manuscripts in order to characterize the various kinds of inks used. As these methods do not require destructive ...