Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

This data was used to train a predictive model that could anticipate the expected dosed weight, to a high degree of precision, based on those upstream variables. “We're doing this directly on the edge ...

Simply put, by creating a digital model for the physical supply chain, IoT devices increase visibility and aid in decision-making. Predictive analytics improve inventory management through the ...

While advances in remote sensing, acoustic methodologies, geostatistical modelling ... commonly used “off-the-shelf” mapping techniques. These included satellite remote sensing, acoustic sounding, ...

such as identification and predictive analytics of coronavirus disease 2019 (COVID-19). However, many existing NN-based solutions train the models based on data (e.g., computed tomography (CT) scan ...

Objectives: This study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to ...