... known planets - a good place to start when looking for more smaller companions. In the test dataset, the neural network correctly identified true planets and false positives 96 percent of the time. “Machine learning really shines in situations...
... cluster. Autoencoders are generally used for spatial data types, but using a sequential neural network, such as recurrent neural networks (RNN), we can also encapsulate the temporal information of an object or track. An example of this work...
... assessing white matter tracts of the brain and mapping neural functions to local brain areas. MRI is a useful...brain for the BRAIN-DTI experiment using tractography to show neural networks. Dose response curves of cumulated days in space and the effect...
... the XQRKU060, still have significant resources available for implementing Machine Learning solutions, such as convolutional neural networks (CNNs) for image processing. This is especially useful in Earth observation applications where satellites can...
.... Research found that even low doses of higher radiation in a simulated microgravity condition can negatively impact the neural network by decreasing the number of cells and decreasing the synapses and the length of the neurites (the arms...
... Matthew Team. Dr Martin Lades holds an interdisciplinary physics PhD with a dissertation in pattern recognition and neural networks from the Ruhr-Universitaet Bochum and an MS in physics in applied optics from the Friedrich-Alexander Universitaet...