A5052261928- COVID-19 Clinical Research Studies
- Digital Transformation in Industry
- BIM and Construction Integration
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Maritime Ports and Logistics
- Pancreatitis Pathology and Treatment
- Technology Assessment and Management
- Robotics and Sensor-Based Localization
- Transportation Systems and Logistics
- Infrared Target Detection Methodologies
- Advanced Manufacturing and Logistics Optimization
- Currency Recognition and Detection
- 3D Surveying and Cultural Heritage
- University-Industry-Government Innovation Models
- Long-Term Effects of COVID-19
- Ergonomics and Human Factors
- Big Data and Business Intelligence
- Maritime Transport Emissions and Efficiency
- Photovoltaic System Optimization Techniques
- Vehicle Routing Optimization Methods
- Advanced Neural Network Applications
- Traffic Prediction and Management Techniques
- Economic and Technological Systems Analysis
- Vehicle License Plate Recognition
Xi'an University of Architecture and Technology
2023
University of South Australia
2020-2022
Chinese PLA General Hospital
2020-2021
Ministry of Industry and Information Technology
2020
Second Artillery General Hospital of Chinese People's Liberation Army
2020
Abstract It is widely recognized that hypertension one of the major risk factor for disease severity and mortality in patients with coronavirus 2019 (COVID‐19). However, type 2 diabetes mellitus (T2DM) are frequent comorbid conditions, complicating assessment hypertension's individual contribution to risk. The aims this study were evaluate contributions alone, T2DM or their combination death, acute respiratory distress syndrome (ARDS)/respiratory failure, severe COVID‐19 infection....
In order to realize green and low-carbon transformation, some ports have explored the path of sustainable equipment upgrading by adjusting energy structure yard cranes in recent years. However, there are multiple uncertainties investment process hydrogen-powered cranes, existing valuation methods fail effectively deal with these dynamic changes lack scientifically sound decision support tools. To address this problem, study constructs a multi-factor real options model that integrates...
Abstract The pandemic of Coronavirus Disease 2019 (COVID-19) is causing enormous loss life globally. Prompt case identification critical. reference method the real-time reverse transcription PCR (RT-PCR) assay, whose limitations may curb its prompt large-scale application. COVID-19 manifests with chest computed tomography (CT) abnormalities, some even before onset symptoms. We tested hypothesis that application deep learning (DL) to 3D CT images could help identify infections. Using data...
The high operation cost of green building, insufficient informationization and automation management capability, the lack effective control seriously restrict development industry realization goals. In order to solve problem capability building management, based on digital twin technology in manufacturing field, we analyze characteristic requirements theoretical basis for system, propose a system twin, refine design each structural layer this system. It is necessary set up series lines,...
Maritime shipping is considered the backbone of global supply chain. It expected that future fully automated smart ports will be data-driven, harvesting power from advanced analytics and artificial intelligence. Under hood, Internet Things (IoT) technologies are as an enabling foundation new data sources for innovations high-level automation. Thus, enterprise management becomes critical when implementing IoT projects. However, implementation needs to governed. Although adoption in receives...
The near-sea off-shore oil extraction and transportation system use heterogeneous fleets to transfer crude from the floating production storage offloading land-based port. Based on characteristics of this system, short sea inventory routing problem is investigated considering shuttle tanker fleet management. In order minimize total operation cost maximize reliability, a semi-continuous model for scheduling established. optimizes plan design fleet. To solve complex model, article proposes an...
Due to the repeated bearing of mechanical operations and natural factors, container will suffer various types damage during use. Adopting effective detection methods plays a vital role in prolonging service life using function. This paper proposes multitype model for containers based on transfer learning MobileNetV2. In addition, data set containing nine typical is established. To ensure validity practicability model, we conducted tests verifications actual port environment. The results show...
Introductory paragraph The pandemic of coronavirus Disease 2019 (COVID-19) caused enormous loss life globally. 1-3 Case identification is critical. reference method using real-time reverse transcription PCR (rRT-PCR) assays, with limitations that may curb its prompt large-scale application. COVID-19 manifests chest computed tomography (CT) abnormalities, some even before the onset symptoms. We tested hypothesis application deep learning (DL) to 3D CT images could help identify infections....
In recent years, with the rapid development of UAV technology, following problems and hidden dangers are increasingly prominent: "unauthorized flight" incidents occur frequently, security risks serious, social is threatened. order to quickly find targets in these events take relevant measures, this paper proposes a fast target detection algorithm based on improved CenterNet, which can extract depth features collected images, use Gaussian kernel function generate keypoint feature map, output...
The digital twin is becoming increasingly popular for building operation management with the support of information modeling (BIM) applications and Internet Things (IoT). However, current research BIM IoT supported platform often focuses on specific tasks lacks consideration implication challenges. This study investigates potential application characteristics in root issues that prohibit implementation platform. supporting roles are also discussed. literature analysis conducted to identify...
Abstract The current classification of highway service areas is primarily based on qualitative analysis, which lacks consistent standards and fails to meet the requirements for operation planning. This article proposes a method land use features characteristics specific these areas. POI (point interest) data obtained from mapping platform, surveys provide information area areas, distance city centers, regional economic conditions, population data. approach involves utilizing Principal...
The innovations of circular business models led to changes in the information sharing process and dynamics. uncertainty from new material treatment coordination issues stakeholder dynamics poses significant challenges for methods distribute adequate accurate