Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Add Yahoo as a preferred source to see more of our stories on Google. The Palm Tree Music Festival made its West Palm Beach debut Saturday night, drawing thousands of visitors to downtown and ...

Social media algorithms determine what billions of users see daily, yet most creators barely scratch the surface of how they operate. Platforms prioritize content ranking using engagement metrics, ...

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...

Nonprofit Trees-Louisville planted 38 trees in downtown to improve air quality, reduce heat, and support hospital recovery. Why Elon Musk says saving for retirement will be 'irrelevant' in the next 20 ...

A new study published in the Journal of Orthopaedic Research indicates that an artificial intelligence–based model trained on basic blood and lab test data as well as basic demographic data can ...