The forecasts will offer a glimpse of the path for policy at a highly uncertain moment for economy — and the central bank.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

Kwon is a Ph.D. student in health policy at Harvard University. Stuart is professor and chair in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. It is human ...

Abstract: Aiming at the problem that traditional load forecasting models are difficult to effectively analyze the correlation between various characteristic variables of offshore oil and gas fields, ...

Did you know you can customize Google to filter out garbage? Take these steps for better search results, including adding my work at Lifehacker as a preferred source. I usually focus on something a ...

ABSTRACT: Rice yield gap minimizing strategies can boost rice production, ensure our food security, and growth in the agriculture sector. The objectives of this study were to describe the selected ...

Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has ...

Abstract: Bone cancer is an aggressive disease that is often difficult to diagnose and treat and can be very dangerous for the patient. Bone cancer needs to be predicted in time and accurately for ...

Why was I born handsome instead of rich? – Ralph Cifaretto in a reflective mood, The Sopranos, Season 3, Episode 6 I recently explained why oddballs and misfits can rise to prominence without their ...

Julian Brandt has had a disappointing season playing as Dortmund’s number 10 this year. His numbers are down to their lowest per 90’ since the 2020/21 season. He has only two goal contributions in the ...