Jian Chen

SFQ Amplified Circuit for Photon-Number-Resolving SNSPD Array

2015

Superconducting nanowire single-photon detectors (SNSPDs) with series-parallel meander-type configuration are demonstrated to have photon-number- resolving (PNR) capabilities. Based on this unique feature, SNSPDs are expected to be used in the evaluation of single photon sources. …

Convolutional neural network for classifying space target of the same shape by using RCS time series

2018 · IET Radar Sonar & Navigation

Warhead and decoy classification is one of the most important and difficult technical problems in ballistic missile defence. The conventional methods extract features from the measured data and employ some classification algorithms. However, it is …

Training a Convolutional Neural Network to Detect the Gist of Breast Cancer

2018 · Journal of Vision

Previous studies show that radiologists can discriminate normal from abnormal mammograms after just 250-2000 ms of observation. Interestingly, radiologists can still discriminate normal from abnormal when the abnormal breast is the breast contralateral to the …

DeepDiagnosis: DNN-Based Diagnosis Prediction from Pediatric Big Healthcare Data

2018

Mining electronic health records (EHRs) has been considered as a major decision-making tool for clinical diagnosis. In fact, it is difficult to extract the valuable information from EHRs due to free-text writing, incomplete description, and …

Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation

2019 · Journal of Healthcare Engineering

Breast tumor segmentation plays a crucial role in subsequent disease diagnosis, and most algorithms need interactive prior to firstly locate tumors and perform segmentation based on tumor-centric candidates. In this paper, we propose a fully …

Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks

2019 · BMC Bioinformatics

BACKGROUND: Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks. The advent of …

Combination between DASH and SVM machine learning in the field of video delivery

2019 · IOP Conference Series Earth and Environmental Science

With the development of network and streaming media technology, network video traffic is growing rapidly. In order to better control and manage network traffic and guarantee the quality of service of network video, it is …

Generalized Pareto Model Based on Particle Swarm Optimization for Anomaly Detection

2019 · IEEE Access

Anomaly detection of time series has been widely used in various fields. Most detection methods depend either on assumptions about data distribution or manual threshold setting. If the assumption is incorrect, the effectiveness of detection …

Knowledge Graph Enhanced Third-Party Library Recommendation for Mobile Application Development

2020 · IEEE Access

With the prevalence of smart terminal devices and the rapid development of the mobile Internet, mobile application markets become increasingly prosperous. Third-party libraries have played an essential role in mobile application development. These libraries can …