Pingjie Huang
YOU?
Author Swipe
View article: A Multitask Network for the Diagnosis of Autoimmune Gastritis
A Multitask Network for the Diagnosis of Autoimmune Gastritis Open
Autoimmune gastritis (AIG) has a strong correlation with gastric neuroendocrine tumors (NETs) and gastric cancer, making its timely and accurate diagnosis crucial for tumor prevention. The endoscopic manifestations of AIG differ from those…
View article: Data Augmentation Using HDA-SinGAN Under Limited CT Scan Samples for Internal Battery Defect Detection
Data Augmentation Using HDA-SinGAN Under Limited CT Scan Samples for Internal Battery Defect Detection Open
Accurate detection of internal defects in battery CT images is essential for ensuring the safety and reliability of energy storage systems. However, the limited number and imbalance of defect samples—especially rare cases such as electrode…
View article: Study on the detection method of biological characteristics of hepatoma cells based on terahertz time-domain spectroscopy
Study on the detection method of biological characteristics of hepatoma cells based on terahertz time-domain spectroscopy Open
Liver cancer usually has a high degree of malignancy and its early symptoms are hidden, therefore, it is of significant research value to develop early-stage detection methods of liver cancer for pathological screening. In this paper, a bi…
View article: Automatic Scoring Method for Tumor IHC Images Based on Deep Learning and Its Application on P53 Protein
Automatic Scoring Method for Tumor IHC Images Based on Deep Learning and Its Application on P53 Protein Open
Immunohistochemical (IHC) assay is a commonly used auxiliary technique in pathological diagnosis. Compared to the conventional manual scoring methods that are complicated and time-consuming, automated scoring methods have been playing a mo…
View article: Research on Cyanobacterial-Bloom Detection Based on Multispectral Imaging and Deep-Learning Method
Research on Cyanobacterial-Bloom Detection Based on Multispectral Imaging and Deep-Learning Method Open
Frequent outbreaks of cyanobacterial blooms have become one of the most challenging water ecosystem issues and a critical concern in environmental protection. To overcome the poor stability of traditional detection algorithms, this paper p…
View article: Fluorescence Excitation–Emission Matrix Spectroscopy and Boosting Regression Tree Model to Detect Dissolved Organic Carbon in Water
Fluorescence Excitation–Emission Matrix Spectroscopy and Boosting Regression Tree Model to Detect Dissolved Organic Carbon in Water Open
In recent years, optical methods have been proven to be a powerful tool for m onitoring dissolved organic carbon (DOC) in natural waters. However, the effectiveness of this method in marine systems with low DOC concentrations remains to be…
View article: Detection and Identification of Organic Pollutants in Drinking Water from Fluorescence Spectra Based on Deep Learning Using Convolutional Autoencoder
Detection and Identification of Organic Pollutants in Drinking Water from Fluorescence Spectra Based on Deep Learning Using Convolutional Autoencoder Open
Three dimensional fluorescence spectroscopy has become increasingly useful in the detection of organic pollutants. However, this approach is limited by decreased accuracy in identifying low concentration pollutants. In this research, a new…
View article: A feature extraction method based on the entropy-minimal description length principle and GBDT for common surface water pollution identification
A feature extraction method based on the entropy-minimal description length principle and GBDT for common surface water pollution identification Open
To effectively prevent river water pollution, water quality monitoring is necessary. However, existing methods for water quality assessment are limited in terms of the characterization of water quality conditions, and few researchers have …
View article: An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model
An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model Open
Loss of water due to leakage is a common phenomenon observed practically in all water distribution networks (WDNs). However, the leakage volume can be reduced significantly if the occurrence of leakage is detected within minimal time after…
View article: Broadband terahertz wave emission from liquid metal
Broadband terahertz wave emission from liquid metal Open
Metals have been studied as terahertz sources for decades. Recent research has shown the potential of metals in generating extremely high THz pulse energy excited by intense laser pulses. To avoid the metal surface debris caused by laser p…
View article: Segmentation of River Scenes Based on Water Surface Reflection Mechanism
Segmentation of River Scenes Based on Water Surface Reflection Mechanism Open
Segmentation of a river scene is a representative case of complex image segmentation. Different from road segmentation, river scenes often have unstructured boundaries and contain complex light and shadow on the water’s surface. According …
View article: An Online Contaminant Classification Method Based on MF-DCCA Using Conventional Water Quality Indicators
An Online Contaminant Classification Method Based on MF-DCCA Using Conventional Water Quality Indicators Open
Emergent contamination warning systems are critical to ensure drinking water supply security. After detecting the existence of contaminants, identifying the types of contaminants is conducive to taking remediation measures. An online class…
View article: Qualitative and quantitative detection of liver injury with terahertz time-domain spectroscopy
Qualitative and quantitative detection of liver injury with terahertz time-domain spectroscopy Open
Terahertz technology has been widely used as a nondestructive and effective detection method. Herein, terahertz time-domain spectroscopy was used to detect drug-induced liver injury in mice. Firstly, the boxplots were used to detect abnorm…
View article: High‐risk Stage III colon cancer patients identified by a novel five‐gene mutational signature are characterized by upregulation of IL‐23A and gut bacterial translocation of the tumor microenvironment
High‐risk Stage III colon cancer patients identified by a novel five‐gene mutational signature are characterized by upregulation of IL‐23A and gut bacterial translocation of the tumor microenvironment Open
The heterogeneities of colorectal cancer (CRC) lead to staging inadequately of patients’ prognosis. Here, we performed a prognostic analysis based on the tumor mutational profile and explored the characteristics of the high‐risk tumors. We…
View article: Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy
Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy Open
This paper proposes a morphological grayscale reconstruction method combined with an alternating trilinear decomposition (ATLD) and threshold method based on 3D fluorescence spectroscopy to detect pollutants present at low concentrations i…
View article: Analysis and inspection techniques for mouse liver injury based on terahertz spectroscopy
Analysis and inspection techniques for mouse liver injury based on terahertz spectroscopy Open
At present, researchers are exploring biological tissue detection method using terahertz techniques. In this paper, techniques to inspect mouse liver injury by using terahertz spectroscopy were studied. The boxplots were applied to remove …
View article: Classification of water contamination developed by 2-D Gabor wavelet analysis and support vector machine based on fluorescence spectroscopy
Classification of water contamination developed by 2-D Gabor wavelet analysis and support vector machine based on fluorescence spectroscopy Open
The identification of the specific categories of pollutants in the urban water supply system is necessary. Traditional detection methods are based mainly on common water quality indicators. However, inspecting these water quality indicator…
View article: Real-Time Burst Detection in District Metering Areas in Water Distribution System Based on Patterns of Water Demand with Supervised Learning
Real-Time Burst Detection in District Metering Areas in Water Distribution System Based on Patterns of Water Demand with Supervised Learning Open
This paper proposes a new method to detect bursts in District Metering Areas (DMAs) in water distribution systems. The methodology is divided into three steps. Firstly, Dynamic Time Warping was applied to study the similarity of daily wate…
View article: Prime Focus Spectrograph (PFS) for the Subaru telescope: ongoing integration and future plans
Prime Focus Spectrograph (PFS) for the Subaru telescope: ongoing integration and future plans Open
PFS (Prime Focus Spectrograph), a next generation facility instrument on the 8.2-meter Subaru Telescope, is a very wide-field, massively multiplexed, optical and near-infrared spectrograph. Exploiting the Subaru prime focus, 2394 reconfigu…
View article: Application of Least-Squares Support Vector Machines for Quantitative Evaluation of Known Contaminant in Water Distribution System Using Online Water Quality Parameters
Application of Least-Squares Support Vector Machines for Quantitative Evaluation of Known Contaminant in Water Distribution System Using Online Water Quality Parameters Open
In water-quality, early warning systems and qualitative detection of contaminants are always challenging. There are a number of parameters that need to be measured which are not entirely linearly related to pollutant concentrations. Beside…
View article: Contamination Event Detection Method Using Multi-Stations Temporal-Spatial Information Based on Bayesian Network in Water Distribution Systems
Contamination Event Detection Method Using Multi-Stations Temporal-Spatial Information Based on Bayesian Network in Water Distribution Systems Open
As a core part of protecting water quality safety in water distribution systems, contamination event detection requires high accuracy. Previously, temporal analysis-based methods for single sensor stations have shown limited performance as…
View article: Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors
Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors Open
Water quality early warning system is mainly used to detect deliberate or accidental water pollution events in water distribution systems. Identifying the types of pollutants is necessary after detecting the presence of pollutants to provi…
View article: Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm
Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm Open
The method based on conventional index and UV-vision has been widely applied in the field of water quality abnormality detection. This paper presents a qualitative analysis approach to detect the water contamination events with unknown pol…
View article: Prime Focus Spectrograph (PFS) for the Subaru telescope: overview, recent progress, and future perspectives
Prime Focus Spectrograph (PFS) for the Subaru telescope: overview, recent progress, and future perspectives Open
Volume Number: 9908 - Date Published: 1 December 2016 - Softcover: 292 papers (3496) pages - ISBN: 9781510601956
View article: Distribution water quality anomaly detection from UV optical sensor monitoring data by integrating principal component analysis with chi-square distribution
Distribution water quality anomaly detection from UV optical sensor monitoring data by integrating principal component analysis with chi-square distribution Open
The issue of distribution water quality security ensuring is recently attracting global attention due to the potential threat from harmful contaminants. The real-time monitoring based on ultraviolet optical sensors is a promising technique…