In intelligent sensing fields such as radar, machine vision, medical imaging, etc., the critical information used for decision making is often sparse. For example, a monosyllabic waveform requires ...
A paper proposing a hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction was published in the journal Green Energy ...
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Ecopia AI and Nearmap Launch Off-the-Shelf Advanced Transportation Feature Data Across North America
Nearmap, a global leader in property intelligence, and Ecopia AI (Ecopia) today announced the availability of off-the-shelf, high-precision planimetric transportation data across 100 North American ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
“The experimental results indicates that the photonic feature extractor compresses the data rate 4 times while maintains a good target recognition accuracy of 97.5%. We analyzed the results and found ...
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