Revealing the mechanism of hydrological and agricultural drought has been challenging
and vital in the environment under extreme weather and water resource shortages. To …

Child sexual abuse is a pervasive and distressing issue that poses serious threats to the
well-being and development of children. Early identification and prevention of such incidents …

A common forecasting setting in real-world applications considers a set of possibly
heterogeneous time series of the same domain. Due to the different properties of each time …

In Vietnam, foreign direct investment (FDI) is an important capital flow for sustainable socio-
economic growth and international economic integration, contributing to the …

Summary Background Since 2014, Brazil has gradually implemented the Xpert MTB/RIF
(Xpert) test to enhance early tuberculosis (TB) and drug-resistant (DR-TB) detection and …

This study implemented AR, SARIMA, and SETAR models and their hybrid with ANN using
the Canadian lynx data. Implementing a SETAR-ANN has been shown to be successful in …

Transformer-based methods have recently demonstrated their potential in time series
forecasting problems. However, the mainstream approach, primarily utilizing attention to …

In this paper, we tackle the problem of forecasting future pandemics by training models with
a COVID-19 time series. We tested this approach by producing one model and using it to …

• Time series forecasting [1–5];• Image analysis [6];• Medical applications [7, 8];• Knowledge
graph analysis [9, 10];• Cybersecurity [11–13];• Traffic analysis [14, 15];• Agriculture [16];• …

Precision medicine currently relies on a mix of deep phenotyping strategies to guide more
individualized healthcare. Despite being widely available and information-rich, physiological …