Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...
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Development of AI-based treatment appropriate dose prediction model...There's less error with a spec...
Compare mean absolute error (MAE) values according to internal and external validations of various machine learning models.
The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
This project presents an R Shiny web application designed for comprehensive data analysis and regression modeling of adhesive bond damage tolerance data. The dashboard allows users to upload their CSV ...
ABSTRACT: Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
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