Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

WILKES-BARRE — The Department of Conservation and Natural Resources (DCNR) this week dedicated the new $14 million Delaware State Forest Resource Management Center in Pike County — a major investment ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...

Abstract: This work focuses on the use of machine learning algorithms to estimate water quality based on several environmental variables including $\boldsymbol{p H}$, Iron, Nitrate, and other ...

Everyone is different, and we all have our own unique quirks and idiosyncrasies that make us who we are. There are some of us, though, who get inordinately irked by things the vast majority don’t have ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...