2 papers
cs.LG2026
Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
Yangmeng Li, Kei Sano, Toshihiro Kitao +4
Achieving resilient and high-quality manufacturing requires reliable data-driven anomaly detection methods that are capable of addressing differences in behaviors among different i…
eess.SP2024
Spatio-temporal reconstruction of substance dynamics using compressed sensing in multi-spectral magnetic resonance spectroscopic imaging
Utako Yamamoto, Hirohiko Imai, Kei Sano +3
The objective of our study is to observe dynamics of multiple substances in vivo with high temporal resolution from multi-spectral magnetic resonance spectroscopic imaging (MRSI) d…