The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

In a variety of business situations, the introduction or improvement of machine learning approaches is impaired as these cannot draw on existing analytical models. However, in many cases similar ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Recently, machine learning (ML) techniques have gained widespread diffusion, since they have been successfully applied in several research fields. This paper investigates the effectiveness of advanced ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

The Influence of Exploitative Leadership on Service Performance in China and Morocco: The Mediation of Surface Acting and the Moderation of Power Distance Orientation ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

Adsorbent injection is the most promising technology for solving anthropogenic mercury (mainly Hg0) emission from stationary sources. Carbon-based adsorbents have strong potential for Hg0 removal due ...