Subject-specific CNNs on EEG spectrograms reach 80% accuracy detecting A-phases and 72-79% classifying subtypes using only 25% labeled data per person.
Deep learning
3 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 3representative citing papers
A complete AVSE system is built and stress-tested on Vodafone-compatible AWS Wavelength 5G edge, showing that edge compute placement and uplink capacity are critical for real-time performance while compression enables operation under constraints.
A review outlining deep learning strategies for adaptive beamforming, spectral Doppler, compressive color Doppler encodings, and structured signal recovery in ultrasound.
citing papers explorer
-
A-Phase classification using convolutional neural networks
Subject-specific CNNs on EEG spectrograms reach 80% accuracy detecting A-phases and 72-79% classifying subtypes using only 25% labeled data per person.
-
Audio-Visual Speech Enhancement: Architectural Design and Deployment Strategies
A complete AVSE system is built and stress-tested on Vodafone-compatible AWS Wavelength 5G edge, showing that edge compute placement and uplink capacity are critical for real-time performance while compression enables operation under constraints.
-
Deep learning in ultrasound imaging
A review outlining deep learning strategies for adaptive beamforming, spectral Doppler, compressive color Doppler encodings, and structured signal recovery in ultrasound.