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Showing 1 to 2 of 2 for “"Deep learning based systems"”.

  1. Nature-based algorithms for deep learning based systems and applications.

    Deep Learning Based Systems (DLBS), characterized by their layered processing, in-model feature transformation, and high complexity, have revolutionized problem-solving across numerous domains. However, the manual design of optimal DLBS architectures is prohibitively time-consuming and …

    rgu Repository record for Nature-based algorithms for deep learning based systems and applications. (opens in a new tab)

  2. DEEP ARCHITECTURES FOR SPATIO-TEMPORAL SEQUENCE RECOGNITION WITH APPLICATIONS IN AUTOMATIC SEIZURE DETECTION

    … of clinical EEGs is a very difficult machine learning problem due to the low fidelity of a scalp EEG signal. Commercially available automated seizure detection systems suffer from unacceptably high false alarm rates. Many signal processing methods have been developed over the years including …

    temple Repository record for DEEP ARCHITECTURES FOR SPATIO-TEMPORAL SEQUENCE RECOGNITION WITH APPLICATIONS IN AUTOMATIC SEIZURE DETECTION (opens in a new tab)