Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
Morning Overview on MSN
AI uses virtual sunspots to find rare magnetic events in solar data
Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly the problem for the machine-learning models tasked with predicting them: they ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Sign up for the Concord Monitor’s morning newsletter for essential news each day, and our contests and promotions list for special offers and giveaways. When it ...
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 ...
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 ...
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 ...
Abstract: The property rights of China’s power generation side are relatively concentrated, which makes it easier to engage in market manipulation. As the construction of the mid- and long-term ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results