Abstract Ammonia (NH3) is a gaseous pollutant with significant environmental and health implications. Over recent decades, its increasing ...

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

New tools aim to strengthen water security as climate risks mount in water-stressed African farming communities NEWS ANALYSIS ...

Across Africa, farmers rely on water from dams to irrigate their crops through periods of drought. However, farmers and water ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study used machine learning models to investigate the potential of biosorbents ...

In the US, Google is beginning to use an age estimation model to detect whether Account users are under or over 18. Google is looking at a “variety of signals already associated with a user’s account” ...

This study explores the potential of nano-graphene particles for the sustainable manufacturing of concrete. The primary goal is to predict the compressive strength of graphene-incorporated concrete by ...

Introduction: Accurate wheat yield estimation is crucial for efficient crop management. This study introduces the Spatio–Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning ...

Abstract: Wireless channel responses contain rich multipath information, but accurately extracting this information remains challenging in complex indoor environments. In this letter, we propose a ...

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...