Efficient Video Fire Detection Exploiting Motion-Flicker-Based Dynamic Features and Deep Static Features
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DOI: 10.1109/access.2020.2991338
Abstract: Since fire is one of the most serious types of accidents that can occur, there is always a need for improvement in fire detection capabilities. Convolutional neural networks (CNNs) have been used for a variety… read more here.
Keywords: fire detection; deep static; static features; dynamic features ... See more keywords
Adding the temporal domain to PET radiomic features
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DOI: 10.1371/journal.pone.0239438
Abstract: Background Radiomic features, extracted from positron emission tomography, aim to characterize tumour biology based on tracer intensity, tumour geometry and/or tracer uptake heterogeneity. Currently, radiomic features are derived from static images. However, temporal changes in… read more here.
Keywords: temporal domain; radiomic features; information; static features ... See more keywords