Xin Xie
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View article: Auto-segmentation of surgical clips for target volume delineation in post-lumpectomy breast cancer radiotherapy
Auto-segmentation of surgical clips for target volume delineation in post-lumpectomy breast cancer radiotherapy Open
With the two-stage searching strategy the accuracy to detect titanium clips can be improved comparing to those existing deep-learning models with one-stage searching strategy. The proposed segmentation model can facilitate the delineation …
View article: A two‐level optimal scheduling control strategy for air source heat pump loads with phase change energy storage
A two‐level optimal scheduling control strategy for air source heat pump loads with phase change energy storage Open
Reasonable scheduling and control of air‐source heat pumps (ASHPs) contribute to reducing operational costs for users while encouraging their participation in grid demand response. This article proposes a two‐layer optimal scheduling and c…
View article: Signal stability of high-Z sensors at synchrotron light sources
Signal stability of high-Z sensors at synchrotron light sources Open
The use of high-Z sensors for scientific applications at synchrotrons will gain more importance due to the upgrade of many light sources around the world to diffraction limited light sources for which the photon flux at high photon energie…
View article: Learned HDR Image Compression for Perceptually Optimal Storage and Display
Learned HDR Image Compression for Perceptually Optimal Storage and Display Open
High dynamic range (HDR) capture and display have seen significant growth in popularity driven by the advancements in technology and increasing consumer demand for superior image quality. As a result, HDR image compression is crucial to fu…
View article: Research on Strategies for Air-Source Heat Pump Load Aggregation to Participate in Multi-Scenario Demand Response
Research on Strategies for Air-Source Heat Pump Load Aggregation to Participate in Multi-Scenario Demand Response Open
Air-source heat pumps (ASHPs), functioning as thermally controlled loads, possess significant adjustable capabilities and controllability when aggregated, establishing them as premium resources for demand-response engagement. This paper pr…
View article: Applying Multi-Metric Deformable Image Registration for Dose Accumulation in Combined Cervical Cancer Radiotherapy
Applying Multi-Metric Deformable Image Registration for Dose Accumulation in Combined Cervical Cancer Radiotherapy Open
(1) Purpose: Challenges remain in dose accumulation for cervical cancer radiotherapy combined with external beam radiotherapy (EBRT) and brachytherapy (BT) as there are many large and complex organ deformations between different treatments…
View article: High-resolution transmission mechanism of beam pointing device
High-resolution transmission mechanism of beam pointing device Open
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View article: The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed
The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed Open
Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three me…
View article: Effectiveness and Economic Outcomes in Patients Undergoing Laparoscopic Prostate Resection with a New Surgical Shear with Integrated Energy System: a retrospective study based on a tertiary hospital database in China
Effectiveness and Economic Outcomes in Patients Undergoing Laparoscopic Prostate Resection with a New Surgical Shear with Integrated Energy System: a retrospective study based on a tertiary hospital database in China Open
Background Each year over 1.4 million men are diagnosed with prostate cancer. Surgical prostate resection offers patients with early-stage prostate cancer a high likelihood of remission and has low reoperation rates. A new surgical shear w…
View article: Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder
Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder Open
Background Early prediction of noninvasive ventilation failure is of great significance for critically ill ICU patients to escalate or change treatment. Because clinically collected data are highly time-series correlated and have imbalance…
View article: Improved image semantic segmentation with domain adaptation for mechanical parts
Improved image semantic segmentation with domain adaptation for mechanical parts Open
Non-contact detection methods based on computer vision are widely used in industrial production. When collecting images, different light source schemes are often used to meet the detection requirements of different objects. The image style…
View article: Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy
Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy Open
The prediction accuracy was increased significantly with the introduction of prior information, which provided valuable geometrical distribution of target for model training. This method provides an effective way to identify low-contrast t…
View article: Improved Intelligent Image Segmentation Algorithm for Mechanical Sensors in Industrial IoT: A Joint Learning Approach
Improved Intelligent Image Segmentation Algorithm for Mechanical Sensors in Industrial IoT: A Joint Learning Approach Open
The industrial Internet of Things (IoT) can monitor production in real-time by collecting the status of parts on the production line with cameras. It is easy to have bright and dark areas in the same image because of the smooth surfaces of…
View article: Research and Application of Image Edge Detection Algorithm Based on FOA
Research and Application of Image Edge Detection Algorithm Based on FOA Open
Traditional differential-based edge detection algorithms have shortcomings such as inaccurate edge point positioning and corner point missing detection. This paper presents an application of FOA (Fruit Fly Optimization Algorithm) for estab…
View article: Multivariate Abnormal Detection for Industrial Control Systems Using 1D CNN and GRU
Multivariate Abnormal Detection for Industrial Control Systems Using 1D CNN and GRU Open
Currently, most anomaly detection approaches in industrial control systems (ICSs) use network event logs to build models, and current unsupervised machine learning methods rarely use spatiotemporal correlations and other dependencies betwe…
View article: Improved multi‐target tracking algorithm based on SMC‐CBMeMBer for the airborne Doppler radar
Improved multi‐target tracking algorithm based on SMC‐CBMeMBer for the airborne Doppler radar Open
To effectively suppress clutter in airborne Doppler radar and improve multi‐target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi‐target Multi‐Bernoulli …
View article: Labelled GM‐CBMEMBER filter with adaptive track initiation
Labelled GM‐CBMEMBER filter with adaptive track initiation Open
The initial Gaussian mixture cardinality balanced multi‐target multi‐Bernoulli (GM‐CBMeMBer) filter does not provide track information and assumes that the target birth intensity is known as a priori, but in reality the target may appear a…
View article: A Labeled SMC-Cbmember Filter with Adaptive Track Initiation
A Labeled SMC-Cbmember Filter with Adaptive Track Initiation Open
The initial Sequential Monte Carlo cardinality balanced multi-target multi-Bernoulli (SMC-CBMeMBer) filter assumes that the target birth intensity is known as a priori, but in fact the new target may appear anywhere in the detected area. A…
View article: A new method for short-term traffic congestion forecasting based on LSTM
A new method for short-term traffic congestion forecasting based on LSTM Open
Traffic congestion in metropolitan areas such as shenzhen, has become more and more serious. Over the past decades, many academic and industrial efforts have been made to alleviate this issue. In this paper, we propose a novel approach to …
View article: Bolt Detection Signal Analysis Method Based on ICEEMD
Bolt Detection Signal Analysis Method Based on ICEEMD Open
The construction quality of the bolt is directly related to the safety of the project, and as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt det…
View article: Transport Logistics Optimization Model Of Passenger Car Based On Heuristic Algorithm
Transport Logistics Optimization Model Of Passenger Car Based On Heuristic Algorithm Open
\nPassenger car logistics transportation problem is at the primary stage of development in China, great economic loss and waste of resources caused in the process of logistics transportation, because most of enterprises in China rely on ar…