While there are a number of advanced data analysis techniques that allow us to embrace distributed electrophysiological activity measured by MEG, these tools are somewhat underexploited. This includes ...
Feasibility of a non-destructive classification of chocolate based on its cocoa content was examined by using a Terahertz time-domain spectroscopy system combined with a multivariate analysis. For ...
Abstract: Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...
Abstract: For multivariate time series classification, current research predominantly focuses on contrastive learning to acquire suitable representations. Despite their successes in enhancing accuracy ...
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
GeoAI '24: Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery This study addresses the challenges inherent in building use type classification, ...
The FHSAA (FHSAA) has released the reclassification of schools for the 2024-2025 and 2025-2026 school years, assigning each high school football programs into one of eight classifications, primarily ...
Soft Independent Modeling of Class Analogy and Partial Least Squares Regression were used in this work for the identification and quantification of thiamine, riboflavin, nicotinamide and pyridoxine by ...
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