A5103166680- Hydraulic Fracturing and Reservoir Analysis
- Image and Object Detection Techniques
- Industrial Vision Systems and Defect Detection
- Drilling and Well Engineering
- Advanced Vision and Imaging
- Rock Mechanics and Modeling
- Advanced Measurement and Detection Methods
- Advanced Image Fusion Techniques
- Hydrocarbon exploration and reservoir analysis
- Human Pose and Action Recognition
- Optical measurement and interference techniques
- Advanced Computing and Algorithms
- Remote Sensing and Land Use
- Thin-Film Transistor Technologies
- Geotechnical Engineering and Soil Stabilization
- 3D Shape Modeling and Analysis
- Liquid Crystal Research Advancements
- Geotechnical and Geomechanical Engineering
- Coal Properties and Utilization
- Cognitive Radio Networks and Spectrum Sensing
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Zebrafish Biomedical Research Applications
- Biosensors and Analytical Detection
- Oil and Gas Production Techniques
China United Network Communications Group (China)
2022-2025
Xi'an University of Technology
2012-2025
Fujian University of Technology
2025
Research Institute of Petroleum Exploration and Development
2017-2024
China National Petroleum Corporation (China)
2017-2024
Tsinghua University
2003-2024
Second Affiliated Hospital of Nanjing Medical University
2024
Wuhan University of Technology
2024
Fudan University
2023
Gansu University of Traditional Chinese Medicine
2023
In recent years, more and scholars devoted themselves to the research of target detection algorithm due continuous development deep learning. Among them, recognition small complex targets are still a problem be solved. The authors this article have understood shortcomings learning in detecting defect would like share new improved steel surface detection. defects will affect quality seriously. We find that most current algorithms for NEU‐DET dataset accuracy low, so we choose verify based on...
Deep learning methods have been extensively applied to hyperspectral (HS) image change detection task and achieved promising performance. However, the beneficial joint spatial-spectral-temporal information provided by HS images has not fully used. Since bi-temporal are highly symmetric, in this letter, we propose a novel Cross-Temporal Interaction Symmetric Attention Network (CSANet), which can effectively extract integrate features of images, at same time enhance feature discrimination...
Animating virtual avatars with free-view control is crucial for various applications like reality and digital entertainment. Previous studies have attempted to utilize the representation power of neural radiance field (NeRF) reconstruct human body from monocular videos. Recent works propose graft a deformation network into NeRF further model dynamics animating vivid motions. However, such pipelines either rely on pose-dependent representations or fall short motion coherency due...
It is well-known that deep models could extract robust and abstract features. We propose a efficient facial expression recognition model based on transfer features from convolutional networks (ConvNets). train the ConvNets through task of 1580-class face identification MSRA-CFW database high-level trained to recognize expression. To test large scope, we built seven basic emotion states 2062 imbalanced samples depending four databases (CK+, JAFFE, KDEF, Pain expressions form PICS). Compared...
Realistic human-centric rendering plays a key role in both computer vision and graphics. Rapid progress has been made the algorithm aspect over years, yet existing datasets benchmarks are rather impoverished terms of diversity (e.g., outfit's fabric/material, body's interaction with objects, motion sequences), which crucial for effect. Researchers usually constrained to explore evaluate small set problems on current datasets, while real-world applications require methods be robust across...
Background Non-alcoholic fatty liver disease (NAFLD) is the most common chronic globally, with potential to progress non-alcoholic steatohepatitis (NASH), cirrhosis, and even hepatocellular carcinoma. Given absence of effective treatments halt its progression, novel molecular approaches NAFLD diagnosis treatment are paramount importance. Methods Firstly, we downloaded oxidative stress-related genes from GeneCards database retrieved NAFLD-related datasets GEO database. Using Limma R package...
The impact of high temperature environments on the physical and mechanical properties rocks is a significant factor to consider. investigation into elevated temperatures characteristics holds great importance in advancement exploitation deep-seated mineral reserves, as well ensuring safety stability subterranean engineering projects. This study utilizes state-of-the-art GCTS Mechanical Loading Test System conduct uniaxial triaxial compression tests sandstone after thermal treatment from 25°C...
The Longmaxi shale is an extensive, prolific unconventional play in southwestern China. Its development the Changning area affected by ineffective hydraulic fracturing (HF) stimulation, fault reactivation and casing damage. It suspected that stress contrast within between reservoirs formations above below matters to fracture propagation reservoir stimulation. To this end, deserves a dedicated quantification of situ state its variations. In study, we re-visit available data from one play's...
ABSTRACT Conductive hydrogels hold significant promise in the fields of flexible electronics and smart sensing applications owing to their outstanding stretchability electrical conductivity. In this study, a dual‐network hydrogel based on polyacrylamide (PAAM) sodium alginate (SA) networks was constructed fabricate highly sensitive strain sensors. Carbon nanotubes (CNTs) were incorporated into system, polypyrrole (PPy) nanoparticles synthesized using SA as soft template. During preparing...
Polymerase chain reaction (PCR) is a cornerstone technique in molecular biology and clinical diagnostics. However, conventional PCR systems are often bulky prohibitively expensive, limiting their use resource-limited settings. In this work, we present portable, low-cost instrument designed to overcome these challenges while providing fast accurate thermal cycling. The system features compact four-well aluminum heating block integrated with semiconductor thermoelectric cooler heated lid, all...
Electrically responsive photonic crystals represent one of the most promising intelligent material candidates for technological applications in optoelectronics. In this research, dye-doped polymer-stabilized cholesteric liquid (PSCLCs) with negative dielectric anisotropy were fabricated, and mirrorless lasing an electrically tunable wavelength was successfully achieved. Unlike conventional liquid-crystal lasers, proposed laser aided tuning emission through controlling reflection bandwidth...
The in situ conversion process (ICP) is a retorting method pyrolyzing the kerogen shale into oil and gas products, which shows great potential to promote recovery of resources. In this work, thermo-hydro-chemical-coupled model for established, considering temperature dependence key properties transverse isotropy caused by layered characteristics shale. Based on proposed model, series simulations conducted evaluate production performance reservoirs. results indicate that energy efficiency...
Rock-soil aggregate, as a specific geomaterial, exhibits complicated mechanical behavior. The rock-soil aggregate sampled from the deep layer of sliding mass at Jinpingzi area Wudongde hydropower plant on Yangtze River is investigated to understand its Large-scale laboratory triaxial tests are conducted considering different gradations, stone contents and confining pressures. results show that variation content gradation considerably affects characteristics aggregate. Further, influences...
In this research, an image defogging algorithm is proposed for the electricity transmission line monitoring system in smart city. The typically situated top part of which rather thin size. Because outside, there frequently a sizable amount sky backdrop. Firstly, optimized quadtree segmentation method calculating global atmospheric light proposed, gives higher weight to upper with region. This prevents interference from bright objects on ground and guarantees that computed section Secondly,...
To meet the practical needs of detecting various defects on pointer surface and solve difficulty some surface, this paper proposes a transfer learning improved Cascade-RCNN deep neural network (TICNET) algorithm for defects. Firstly, convolutional layers ResNet-50 are reconstructed by deformable convolution, which enhances feature extraction network. Furthermore, problems missing detection caused internal differences weak features effectively solved. Secondly, idea online hard example mining...
Driven by plummeting camera prices and advances of video inference algorithms, cameras are deployed ubiquitously organizations usually rely on live analytics to retrieve key information, such as the locations identities target objects. However, analyzing real-time poses severe challenges today's network computation systems. To balance accuracy, bandwidth usage, latency, we present EVA, an edge-assisted framework, which coordinates computationally weak with more powerful edge servers enable...
Due to its sedimentary characteristics and natural fractures, oil shale shows anisotropy in heat transfer characteristics. Moreover, the anisotropic thermal conductivity will change with temperature. This coefficient affects temperature field distribution heating efficiency during situ electric pyrolysis of shale. Therefore, it is very important study evolution In this study, variation weight loss specific an investigated using a differential scanning calorimeter. The pore fracture structure...
Completely taking into account the interferences between fractures as well friction effects on injection allocations, a fully coupled finite element method inherited from verified one is proposed to discuss fracture propagation laws and analyze their impacts conductivities. Simulations show that although have similar allocations fluctuate around allocation averaged by fractures, them lead different rates some even stop propagating for while. Shorter generally higher pressure smaller...
Abnormal blood vessel formation is a defining feature of many blinding eye diseases. Targeting abnormal angiogenesis by inhibiting VEGF has revolutionized the treatment ocular angiogenic diseases over last decade. However, substantial number patients are refractory to anti-VEGF or may develop resistance time. The objective this study was determine efficacy and mechanism action Apratoxin S4 in angiogenesis.Retinal vascular cell proliferation, migration, ability form tube-like structure were...
A band-gap-tailored random laser with a wide tunable range and low threshold through infrared radiation is demonstrated.When fluorescent dyes are doped into the liquid crystal heavily chiral agent system, we demonstrate wavelength tuning instead of side-band laser, which caused by combined effect multi-scattering (LC) band-gap control.Through rotating absorbing material on side LC cell, an adjustable for lasing 80 nm light irradiation was observed.