In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
Accurate prediction of concrete compressive strength is essential for ensuring the durability and safety of concrete structures. This study utilizes the Deep Forest (GC Forest) model to predict ...
Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...
Forests around the world disappeared at a rate of 18 soccer fields every minute, a global survey found. Fires accounted for nearly half of the losses. By Hiroko Tabuchi and Harry Stevens The planet ...
BERLIN — Gut microbial biomarkers identified using machine learning can differentiate patients with inflammatory bowel disease (IBD) from healthy control individuals, according to a study presented at ...
ABSTRACT: The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in health, as obtained from the original study. It highlights ...
ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
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