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DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
The DeScoD-ECG model is a novel electrocardiogram (ECG) baseline wander and noise removal technology that extends the current diffusion model for reconstructing electrocardiogram signals. It establishes a new benchmark in biomedical signal processing to provide a more accurate approximation of ECG signals for detection of cardiovascular irregularities....
Published: 5/2/2024
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Inventor(s): Ao Li, Huayu Li, Gregory Ditzler, Janet Roveda
Keywords(s):
Category(s): Technology Classifications > Software & Information Technology > Communications & Networking, Technology Classifications > Software & Information Technology > Open Source, Technology Classifications > Healthcare Portfolios > Heart and Vascular, Technology Classifications > Life Sciences > Diagnostics
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Portable Deep Neural Network based Side Channel Attacks
This technology uses deep neural networks to examine the power states of a device performing cryptographic operations and determine the underlying encryption key with high accuracy across varying processor architectures.
Background:
Embedded systems are among devices often the most vulnerable to attacks on their security. They are often used in public...
Published: 10/11/2023
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Inventor(s): Roman Lysecky, Janet Roveda, Manoj Gopale, Gregory Ditzler
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Communications & Networking > Networking, Technology Classifications > Engineering & Physical Sciences > Communications & Networking > Wireless
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Convolutional Neural Networks for Pavement Roughness Assessment Using Calibration-Free Vehicle Dynamics
This technology is a method of identifying road roughness (i.e., International roughness index, IRI) by collecting sensor data from a smartphone app or other computing device and applying deep learning techniques to estimate the road’s roughness index.
Background:
Monitoring of road surface conditions is a logistical challenge. Traditionally,...
Published: 4/3/2023
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Inventor(s): Jong-Hyun Jeong, Hongki Jo, Gregory Ditzler
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Communications & Networking, Technology Classifications > Engineering & Physical Sciences > Electronics > Computer Hardware
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