Drones, DNA, and weather: A phase-oriented hybrid engine predicts sugar beet disease

A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease ...

Improving air temperature forecasts one to five weeks in advance without new model simulations

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...
International Monetary Fund

Solving the Canonical Quarterly Projection Model Using EViews

The Quarterly Projection Model (QPM) is one of the IMF’s standard frameworks for monetary policy analysis and forms a core component of a forward‑looking Forecasting and Policy Analysis System (FPAS).
IEEE

Long-Term Time Series Forecasting: The Good, the Bad, and the Ugly

Abstract: Long-term time series forecasting (LTF) aims to predict time series over extended time horizons, offering significant cross-domain advantages and competitive insights. However, there is no ...
Scientific Research Publishing

Box, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time Series Analysis-Forecasting and Control. Wiley.

ABSTRACT: Religion has long been recognised as a central dimension of culture, yet no dedicated framework exists to quantify the cultural distance between religions. Existing models, such as ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
GitHub

time-series-analysis

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.
THE WEEK

7 of the best narco TV series of all time

Americans seem to like shows about drug runners almost as much as they like the drugs themselves. And while many of the greatest narco stories are police procedurals like “The Wire,” there are a ...
GitHub

Time Series Forecasting for Book Sales Analysis

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...
marktechpost

A Coding Guide to Build an Autonomous Agentic AI for Time Series Forecasting with Darts and Hugging Face

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...
Scientific Research Publishing

Time-Series Forecasting of Solar Photovoltaic Power Generation in Malaysia ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...