Accurate prediction of concrete compressive strength is essential for ensuring the durability and safety of concrete structures. This study utilizes the Deep Forest (GC Forest) model to predict ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.

This repository contains example code for the machine learning course by Andrew Ng. The code focuses on implementing and understanding core machine learning concepts using Python 🐍.

Abstract: With the escalating threats in the digital landscape, recognizing bad URLs has grown to be a paramount concern for ensuring cybersecurity. This research introduces an innovative approach ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

Abstract: The objective of this research is to create a phishing detection system that is both efficient and effective. This system will be based on sophisticated machine learning models, including ...

Natural Resources Policy Investigation and Evaluation Center of Jiangxi Province, Nanchang, Jiangxi, China Colluvial landslides widely developed in mountainous and hilly areas have the characteristics ...

Effective pavement maintenance and rehabilitation decisions rely on both pavement functional and structural condition data. Traditionally, state transportation agencies prioritize pavement segments ...