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Found 8 papers, 2 papers with code
ASD-Diffusion: Anomalous Sound Detection with Diffusion Models
Unsupervised Anomalous Sound Detection (ASD) aims to design a generalizable method that can be used to detect anomalies when only normal sounds are given.
LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG
This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on various mobile platforms with limited hardware resources.
Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG
The proposed algorithm achieves a state-of-the-art single-channel sleep staging accuracy of 86. 5%, with only 0. 6% deterioration from the state-of-the-art multi-channel model.
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Extensive experiments validate the effectiveness of MLN-net in segmenting clustered microcalcifications from different domains and the its segmentation accuracy surpasses state-of-the-art methods.
Data Management for Building Information Modelling in a Real-Time Adaptive City Platform
Legacy Building Information Modelling (BIM) systems are not designed to process the high-volume, high-velocity data emitted by in-building Internet-of-Things (IoT) sensors.
Human-Computer Interaction
A CNN-Based Blind Denoising Method for Endoscopic Images
The number of iterations is reduced about 36% by using transfer learning in our DIP process.
Learning Singing From Speech
The proposed algorithm first integrate speech and singing synthesis into a unified framework, and learns universal speaker embeddings that are shareable between speech and singing synthesis tasks.
2D Reconstruction of Small Intestine's Interior Wall
The proposed new wireless endoscopic image stitching method consists of two main steps to improve the accuracy and efficiency of image registration.
