Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Understanding how structural defects affect the optoelectronic performance of silicon semiconductor wafers is critical for improving device efficiency and reliability. Simultaneous Raman and ...
Abstract: This survey comprehensively examines the challenges and methodologies for missing data recovery in Multivariate Time Series (MTS) within the context of Internet of Things (IoT) environments.
Adapting to the stream: An instance-attention GNN method for irregular multivariate time series data
Framework of DynIMTS. The model is a recurrent structure based on a spatial-temporal encoder and consists of three main components: embedding learning, spatial-temporal learning, and graph learning.
Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods
Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Naphthenic acids (NAs) naturally occur in crude oil and its associated produced water, ...
If you’re on #TherapyTok, you might’ve heard of a buzzy new term circulating around: the gray rock method. But what you don’t know is you’ve likely already used this communication strategy in numerous ...
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