Search Results for author:
Found 9 papers, 1 papers with code
Toward Short-Term Glucose Prediction Solely Based on CGM Time Series
The global diabetes epidemic highlights the importance of maintaining good glycemic control.
Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids
Traditional analysis of highly distorted micro-X-ray diffraction ({\mu}-XRD) patterns from hydrothermal fluid environments is a time-consuming process, often requiring substantial data preprocessing and labeled experimental data.
SAIC: Integration of Speech Anonymization and Identity Classification
Speech anonymization and de-identification have garnered significant attention recently, especially in the healthcare area including telehealth consultations, patient voiceprint matching, and patient real-time monitoring.
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
If not, we initialize a new module needed by the task and specify the inputs and outputs of this new module.
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
This study highlighted the importance of labeled experimental patterns on the training of DNN models to solve u-XRD mapping data from in-situ experiments involving liquid phase.
Digital autofocusing of a coded-aperture Laue diffraction microscope
To provide optimal depth resolution with a coded-aperture Laue diffraction microscope, an accurate position of the coded-aperture and its scanning geometry need to be known.
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
In this paper, we propose a novel end-to-end U-Net like Group Transformer Network (GT U-Net) for the tooth root segmentation.
Four-Fluid Axisymmetric Plasma Equilibrium Model Including Relativistic Electrons and Computational Method and Results
A non-relativistic multi-fluid plasma axisymmetric equilibrium model was developed recently to account for the presence of an energetic electron fluid in addition to thermal electron and ion fluids.
Plasma Physics
FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture
Specifically, we first propose the Multi-Dilation (MD) module, which can synthesize the crack features of multiple context sizes via dilated convolution with multiple rates.
