GitHub

Optimal Multivariate-stratification Geographical Detector

Guo, Y., Wu, Z., Zheng, Z., & Li, X. (2024). An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations ...
IEEE

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation

Abstract: Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements ...
IEEE

Navigating Data Scarcity in Multivariate Time Series Forecasting: A Hybrid Model Perspective

Abstract: Data scarcity in Multivariate Time series (MTS) analysis (MTS) poses significant challenges across various fields, including scientific research, business, healthcare, and technology ...
GitHub

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...
BMJ

Impacts of climate change on childhood obesity: an updated systematic literature review

Objectives The 2019 Lancet Commission report introduced the concept of a ‘syndemic’, emphasising the complex interplay between malnutrition, obesity and climate change. This updated systematic review ...