A5100399395- Municipal Solid Waste Management
- Advanced Surface Polishing Techniques
- Recycling and Waste Management Techniques
- Recycled Aggregate Concrete Performance
- Electrocatalysts for Energy Conversion
- Diamond and Carbon-based Materials Research
- Electrochemical Analysis and Applications
- Reservoir Engineering and Simulation Methods
- Agricultural risk and resilience
- Hydraulic and Pneumatic Systems
- Electrochemical sensors and biosensors
- Ion-surface interactions and analysis
- Oil and Gas Production Techniques
- Single-cell and spatial transcriptomics
- Educational Reforms and Innovations
- Fuel Cells and Related Materials
- Fire effects on ecosystems
- Anomaly Detection Techniques and Applications
- Geological Studies and Exploration
- Hepatocellular Carcinoma Treatment and Prognosis
- Supercapacitor Materials and Fabrication
- Climate change impacts on agriculture
- Currency Recognition and Detection
- Robotic Mechanisms and Dynamics
- Spectroscopy Techniques in Biomedical and Chemical Research
National Institute of Clean and Low-Carbon Energy
2025
Wenzhou Medical University
2024
Chongqing University
2007-2024
Shandong Academy of Environmental Science
2024
China University of Geosciences
2024
Xiangtan University
2024
Southwest University
2024
Zhejiang University
2023
Shanghai Jiao Tong University
2023
Chongqing University of Science and Technology
2023
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data centers are enrolled to develop Liver Lesion Network (LiLNet). LiLNet identifies focal lesions, including hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), metastatic tumors (MET), nodular hyperplasia (FNH), hemangioma (HEM), cysts (CYST). Validated in...
This study addressed the complex challenges associated with landslide detection along Karakoram Highway (KKH), where tectonic events and data availability limitations posed significant obstacles. To overcome these hurdles, research framework encompassed several critical components. First, it tackled issue of multicollinearity through application statistical measures such as Variable Inflation Factor (VIF) Information Gain (IG). Secondly, emphasized importance selecting a area that would...
Abstract For the submerged high-pressure liquid hydrogen pump, a core piece of equipment transportation, extensive analysis and research were conducted on its components structure during development process. By referencing typical failure probabilities in energy industry statistical data from prototype pump testing, list for each part was compiled, consequences those failures deduced. The nitrogen test experiment verified possibility seal identified fault modes. It confirmed that piston rod...
Large-scale volcanic eruptions always inflict severe damage upon facilities and cause significant environmental pollution. Building caused by lava flow ash coverage can reflect the infrastructure devastation victim scope within affected region. The application of machine learning methods for building automated identification from remote sensing imagery typically relies on a large number training samples. However, labeled data scarcity is common issue in field disasters, particularly...
Climate change significantly impacts the livelihoods of farmer households. Particularly vulnerable areas, both economically and environmentally, face significant threats from climate change. This study developed a framework to assess household-level vulnerability by integrating Exposure-Sensitivity-Resilience Analysis (ESRA) Sustainable Livelihoods (SLA) frameworks. Using Gui-Zhou Province as area, examined whether livelihood differs among various types households in environmentally areas...
The paper presents an aging experiment on oil-paper insulation under electrical and thermal stresses. A total of 55 specimens were placed in a designed oil tank for the accelerated experiment. Partial discharges degree polymerization measured during 27 statistical operators used recognition aged insulation. There 9 principle parameters extracted from by factor analysis. PD parameter vectors composed either or clustered two types clustering analysis methods, A-mean hierarchical clustering....
To address the challenges of relying on specialized personnel and incurring significant time costs in qualitative quantitative analysis using surface-enhanced Raman scattering (SERS) technology for explosive residue detection, this article proposes a detection method residues based multistage deep learning network SERS chip. improve performance spectrum, novel fusion attention module-based residual neural (FAB-ResNet) is constructed through integration modified mechanism into ResNet network....
Municipal solid waste incineration for power generation is significant reducing and reusing waste. However, there have been few quantitative studies on its environmental economic benefits. The study which this paper based therefore conducted an integrated assessment of environment economy municipal in China, from a ‘cradle to grave’ perspective using 1 tonne as the functional unit. impacts each month are also calculated analyze dynamic change throughout one year. results indicate that mainly...
Municipal solid waste incineration for power generation is significant reducing and reusing waste. However, there have been few quantitative studies on its environmental economic benefits. The study which this paper based therefore conducted an integrated assessment of environment economy municipal in China, from a ‘cradle to grave’ perspective using 1 tonne as the functional unit. impacts each month are also calculated analyze dynamic change throughout one year. results indicate that mainly...