MCCG: A ConvNeXt-Based Multiple-Classifier Method for Cross-View Geo-Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3296074
Abstract: The key to crossview geolocalization is to match images of the same target from different viewpoints, e.g., images from drones and satellites. It is a challenging problem due to the changing appearance of objects from… read more here.
Keywords: cross view; method; multiple classifier; convnext based ... See more keywords
Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry.
Sign Up to like & getrecommendations! Published in 2018 at "Current topics in medicinal chemistry"
DOI: 10.2174/1568026618666171212111018
Abstract: Quantitative Structure - Activity Relationship (QSAR) modeling has been widely used in medicinal chemistry and computational toxicology for many years. Today, as the amount of chemicals is increasing dramatically, QSAR methods have become pivotal for… read more here.
Keywords: decision; qsar models; medicinal chemistry; chemistry ... See more keywords
Improving Electrical Fault Detection Using Multiple Classifier Systems
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17225787
Abstract: Machine Learning-based fault detection approaches in energy systems have gained prominence for their superior performance. These automated approaches can assist operators by highlighting anomalies and faults, providing a robust framework for improving Situation Awareness. However,… read more here.
Keywords: fault detection; improving electrical; multiple classifier; fault ... See more keywords