AI and Machine Learning Drive New Era of Digital Financial Security The current financial scene is changing in a big way, and ...

Background This study aims to develop an interpretable machine learning model using SHapley Additive exPlanations (SHAP) to predict favorable outcomes based on clinical, imaging, and angiographic data ...

Background: Advances in breast cancer treatment have prolonged survival, leading to an increased incidence of secondary primary lung cancer (SPLC) in survivors. This study aims to investigate the ...

The Buffalo Bills and Baltimore Ravens will meet for the third time in less than a calendar year in Week 1 of Sunday Night Football. Baltimore dominated in a Week 4 victory last year but the Bills got ...

This project demonstrates how to ingest and analyze Windows event logs using Splunk. As a cybersecurity recent graduate, gaining hands-on experience with log management and analysis tools like Splunk ...

Search Engine Land » Guides » Log file analysis for SEO: Find crawl issues & fix them fast Share Want to know why your high-value pages aren’t getting indexed? Or why Google keeps crawling useless ...

Background: Changes in certain metabolites are linked to an increased risk of type I diabetes (T1D), making metabolite analysis a valuable tool for T1D diagnosis and treatment. This study aimed to ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

Last week, the United Kingdom began requiring residents to verify their ages before accessing online pornography and other adult content, all in the name of protecting children. Almost immediately, ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...