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Found 3 papers, 1 papers with code
CosmosDSR -- a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter
The current study is limited to images generated in a space simulation environment, but the CosmosDSR methodology shows great potential in detecting and tracking satellites, paving the way for solutions to the Kessler syndrome.
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer
Unraveling this variation will bring about improved in staging and treatment outcome, hence motivated by the advancement of Deep Neural Network libraries and different structures and factors within some genomic dataset, we aggregate atypical patterns in histopathological images with diverse carcinogenic expression from mRNA, miRNA and DNA Methylation as an integrative input source into an ensemble deep neural network for colon cancer stages classification and samples stratification into low or high risk survival groups.
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?
With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in.
