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cs.LG2024
Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows
Zina-Sabrina Duma, Tuomas Sihvonen, Jouni Susiluoto +3
Kernel-based statistical methods are efficient, but their performance depends heavily on the selection of kernel parameters. In literature, the optimization studies on kernel-based…
stat.ML2024
Statistical Batch-Based Bearing Fault Detection
Victoria Jorry, Zina-Sabrina Duma, Tuomas Sihvonen +2
In the domain of rotating machinery, bearings are vulnerable to different mechanical faults, including ball, inner, and outer race faults. Various techniques can be used in conditi…
cs.CV2024
Varroa destructor detection on honey bees using hyperspectral imagery
Zina-Sabrina Duma, Tomas Zemcik, Simon Bilik +4
Hyperspectral (HS) imagery in agriculture is becoming increasingly common. These images have the advantage of higher spectral resolution. Advanced spectral processing techniques ar…