Richard Goldfarb ’81 M.S. (geohydrology) has a few stories that he said probably shouldn’t be told about the hijinks he got ...
Retrofitting legacy bioprocessing equipment with modern PAT tools requires targeted sensor, software, and change-control ...
Analyzing thousands of proteins from a single drop of blood is no longer science fiction. High-throughput proteomics has transformed biomarker discovery by enabling simultaneous profiling of thousands ...
Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...
Advancements in PFAS remediation focus on mechanochemical techniques that promise the complete destruction of these chemicals ...
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If you find this repo useful, please cite our paper. @inproceedings{yi2023fouriergnn, title={Fourier{GNN}: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective}, author={Kun ...
The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...
Optical techniques are methods that use light to probe or control matter. One prominent example is optical spectroscopy, which includes such methods as pump–probe spectroscopy, Raman spectroscopy and ...
Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
Biological techniques are methods or procedures that are used to study living things. They include experimental and computational methods, approaches, protocols and tools for biological research.
Abstract: Accurate and robust time series forecasting is critical in numerous domains but remains challenging due to issues such as temporal misalignments, noise, and complex multivariate dependencies ...