-
Article
Open AccessA novel clinical prediction model of severity based on red cell distribution width, neutrophil-lymphocyte ratio and intra-abdominal pressure in acute pancreatitis in pregnancy
Acute pancreatitis in pregnancy (APIP) with a high risk of death is extremely harmful to mother and fetus. There are few models specifically designed to assess the severity of APIP. Our study aimed to establis...
-
Article
Open AccessEfficient isolation and purification of tissue-specific protoplasts from tea plants (Camellia sinensis (L.) O. Kuntze)
Plant protoplasts constitute unique single-cell systems that can be subjected to genomic, proteomic, and metabolomic analysis. An effective and sustainable method for preparing protoplasts from tea plants has ...
-
Chapter and Conference Paper
Correlation Coefficient Based Cluster Data Preprocessing and LSTM Prediction Model for Time Series Data in Large Aircraft Test Flights
The Long Short-Term Memory (LSTM) model has been applied in recent years to handle time series data in multiple application domains, such as speech recognition and financial prediction. While the LSTM predicti...
-
Chapter and Conference Paper
Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform
Convolutional Neural Networks (CNNs) have been used to improve the state-of-art in many fields such as object detection, image classification and segmentation. With their high computation and storage complexit...
-
Article
Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization
In compressive sensing (CS) based inverse synthetic aperture radar (ISAR) imaging approaches, the quality of final image significantly depends on the number of measurements and the noise level. In this paper, ...
-
Chapter and Conference Paper
Optimization and Fiber-Centered Prediction of Functional Network ROIs
Study of functional and structural brain networks via fMRI and DTI data has received significant interest recently. A fundamental and challenging problem to identify a specific brain networks is how to localiz...
-
Chapter and Conference Paper
A Hybrid Point-Sets Clustering Approach to Identification of Resting State Functional Network
Study of functional brain networks via resting state fMRI (rsfMRI) data has received increasing interest in the literature recently. Data-driven voxel-wise clustering approaches have been the mainstream approa...
