Fermi American has pitched itself as cutting-edge utility. But its corporate structure puts strict limits on its income ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

Because permeation and plasma-induced degradation are continuous rather than episodic, their effects accumulate gradually.

Britain’s Palestine Action Ruling in a Longer English Story. The ruling and the comforting story. The UK High Court decision ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

We asked Nashville area basketball coaches to weigh in on the importance of district tournaments. Here's what they said.

Social media and algorithmic recommendations aren’t just reflecting our divisions — they’re driving them. According to a poll conducted by Siena University and The New York Times, “most voters think ...

I have set a strategy in the problem classification node: {"contue_on_error": true, "default-value": [{"key": "class_name", "type": "string", "value": "convert to ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Former athlete and Emmy-winning sports reporter Lindsay Simpson suffered a traumatic brain injury in 2018 that nearly took her life. At a recent event held by the National Academies of Sciences, ...