The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...

Breweries typically monitor fermentation by analyzing broth composition. Alcohols, esters, acids and residual sugars are ...

It indicated in this regard as ‘In Pakistan, inequality remains high and shows limited progress over the past decade. The top ...

1 Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece 2 Department of Mathematics, University of Thessaly, Lamia, Greece Genome-Wide Association Studies ...

ABSTRACT: Pyrethrum (Chrysanthemum cinerariaefolium L.) is an industrial crop with complex morphology and diverse physico-mechanical properties that jeopardize the optimal design of precision ...

ABSTRACT: Pyrethrum (Chrysanthemum cinerariaefolium L.) is an industrial crop with complex morphology and diverse physico-mechanical properties that jeopardize the optimal design of precision ...

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

Early maturing rice varieties are crucial for climate-resilient agriculture, yet nitrogen optimization in these varieties remains under-explored. Most existing studies focus on conventional varieties ...