ABSTRACT: Predicting the exact duration of sick leave in patients with tuberculosis remains challenging due to the heterogeneity of recovery trajectories. This study uses machine learning to estimate ...

This study presents a novel approach that uses machine learning and airborne lidar technology to establish data-driven tree allometry for a 20-year-old planted forest in New Zealand. The approach ...

With the increasing importance of digital security in the current world of finance, it is a must to find ways to implement artificial intelligence techniques to detect financial fraud behaviours. This ...

Their goal is to get below 10 percent. The researchers used a random forest machine learning algorithm to analyze thousands of vegetation index data points collected in the experiment.

About A machine learning-based project that predicts the likelihood of diabetes using historical health data. Built with TensorFlow, Random Forest, and integrated into an Android app for easy ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

In this video, we put Stretch Armstrong up against our DIY Air Cannon, ran him over with an 8500 lb. forklift, smashed him with a 175 TON hydraulic press, and tested him with a 60,000 PSI waterjet ...

Clayton County Public Schools announced that the opening of the new Forest Park Middle School in August would be delayed as a result of “unforeseen global supply chain disruptions.” Due to ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

2. Model-Based Detection If a log does not violate any simple rules, it is passed to the Isolation Forest machine learning model. The model calculates an anomaly score, and if the score is below the ...