Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...
1 The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing, China 2 Ningbo Water Resources Management Center, Ningbo, China Climate-induced hydrological ...
Two researchers have found a way to use artificial intelligence to predict college campus energy use with an accuracy of within 1%. According to Environment+Energy Leader, two University of Missouri ...
This repository contains a Python-based project for real-time healthcare monitoring, focusing on forecasting patient heart rates using the ARIMA (AutoRegressive Integrated Moving Average) model. The ...
US stock market performance is on track to downshift over the next decade vs. the past 10 years. The S&P 500 is projected to earn an annualized 5%-plus in the decade ahead, based on the average of ...
As Bitcoin approaches increasingly euphoric territory, the million-dollar question resurfaces of how can we accurately time the cycle’s peak? Most investors either exit too early or ride the market ...
College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse ...
Impact of trimodal therapy on survival outcomes in non-urothelial muscle-invasive bladder cancer: A nationwide analysis.
Abstract: The Autoregressive incorporated moving common (ARIMA) model is a widely used approach for time collection analysis. This method has been used throughout various fields, such as economics, ...
Abstract: The article considers the problem of forecasting the volume of seasonal logistics transportation of fruits and vegetables using time series based on the seasonal autoregressive integrated ...