Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Under30CEO on MSN

Analytics that move the needle: Sohan Sethi shapes cost, efficiency, and scale

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
IEEE

Early Prediction of Alzheimer's Dementia Using Random Forest Machine Learning Algorithm: A Data-Driven Approach

Abstract: Alzheimer's dementia is liberal neurological ailment categorized by memory loss, cerebral failure, and it is the utmost communal form of dementia and typically affects older adults. Every ...
Yardbarker

Predicting North Carolina's Top Performances Against Wake Forest

It has been a week since the North Carolina Tar Heels last suited up, which resulted in a 97-83 loss to the SMU Mustangs at the Moody Coliseum. That feeling of disappointment has been brewing, and the ...
IEEE

Predicting Social Media Virality Using Stacking Ensemble with Random Forest, XGBoost and Logistic Regression

Abstract: The research investigates predicting the virality of content on social media platforms using a stacking ensemble model with Random Forest, XGBoost, and Logistic Regression. Social media ...