A5100331267- Computer Graphics and Visualization Techniques
- Medical Imaging Techniques and Applications
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Virtual Reality Applications and Impacts
- Peer-to-Peer Network Technologies
- Advanced Optical Imaging Technologies
- Caching and Content Delivery
- Augmented Reality Applications
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Robotics and Sensor-Based Localization
- Data Management and Algorithms
- Advanced Image Fusion Techniques
- Radiomics and Machine Learning in Medical Imaging
- Data Visualization and Analytics
- Advanced Neural Network Applications
- AI in cancer detection
- Radiation Detection and Scintillator Technologies
- Advanced MIMO Systems Optimization
- Surgical Simulation and Training
- Metal-Organic Frameworks: Synthesis and Applications
- Dielectric materials and actuators
- Functional Brain Connectivity Studies
NARI Group (China)
2023-2024
University of Stavanger
2022-2024
Inner Mongolia Electric Power (China)
2024
China National Petroleum Corporation (China)
2024
Tsinghua University
2010-2024
Nanjing University of Science and Technology
2024
China Academy of Space Technology
2019-2024
Inner Mongolia Medical University
2023-2024
Fudan University
2019-2024
Naval Research Laboratory Spacecraft Engineering Division
2023
Owing to their tailorable structure deficiencies and intrinsic framework robustness, Zr–MOF membranes hold great promise in energy-efficient separation of diverse industrially important gas mixture, while complete room-temperature (RT) production is extremely advantageous for large-scale application. Herein, we reported a facile RT protocol preparing (111)-oriented UiO-66 with CPO111/002 7.4 on ZrO2 buffer layer-modified porous α-Al2O3 substrate Zr(n-OPr)4 source. Experimental results...
Recent advancements in event-based recognition have demonstrated significant promise, yet most existing approaches rely on extensive training, limiting their adaptability for efficient processing of event-driven visual content. Meanwhile, large language models (LLMs) exhibited remarkable zero-shot capabilities across diverse domains, but application to remains largely unexplored. To bridge this gap, we propose \textbf{LLM-EvGen}, an event representation generator that produces LLM-compatible...
In order to solve the compute-intensive character of image processing, based on advantages GPU parallel operation, acceleration processing technique is proposed for image. First, efficient architecture introduced that improves computational efficiency, comparing with CPU. Then, Sobel edge detector and homomorphic filtering, two representative algorithms, are embedded into validate technique. Finally, tested data different resolutions used CPU hardware platform compare efficiency Experimental...
Language deficits following brain tumors should consider the dynamic interactions between different tumor growth kinetics and functional network reorganization. We measured resting-state connectivity of 126 patients with left cerebral gliomas involving language areas, including 77 low-grade (LGG) 49 high-grade (HGG). Functional mapping for was performed by construction a multivariate machine learning-based prediction model individual aphasia quotient (AQ), summary score that indicates...
The spin–orbit charge transfer intersystem crossing (SOCT-ISC) and the formation of a long-lived (CT) state were studied with series 4,4′-dimethoxy triphenylamine-BODIPY compact electron donor/acceptor dyads. Different torsion freedoms applied in dyads to tune electronic coupling between donor acceptor, red-shifted CT absorption band was observed for one dyad. show solvent polarity-dependent singlet oxygen photosensitizing ability (quantum yields 3%–79%). Nanosecond transient spectra dyad...
Language processing relies on both a functionally specialized language network and domain-general cognitive control network. Yet, how the two networks reorganize after damage resulting from diffuse progressive glioma remains largely unknown. To address this issue, 130 patients with left cerebral gliomas, including 77 low-grade (LGG, WHO grade Ⅰ/II), 53 high-grade (HGG, III/IV) 38 healthy controls (HC) were adopted. The changes in resting-state functional connectivity (rsFC) of...
In the fields of neuroscience and biomedical signal processing, spike sorting is a crucial step to extract information single neurons from extracellular recordings. this paper, we propose novel deep learning approach based on one-dimensional convolutional neural networks (1D-CNNs) implement accurate robust sorting. The results simulated data demonstrated that clustering accuracy in most datasets was greater than 99%, despite multiple levels noise various degrees overlapped spikes. Moreover,...
Detecting fine-grained subtle changes among a scene is critically important in practice. Previous change detection methods, focusing on detecting large-scale significant changes, cannot do this well. This paper proposes feasible end-to-end approach to challenging problem. We start from active camera relocation that quickly relocates nearly the same pose and position of last time observation. To guarantee sensitivity accuracy minute an observation, we capture group images under multiple...
Abstract Cruise tourism has become more popular. Long-term personal contact, complex population flows, a lack of medical care facilities, and defective infrastructure aboard most cruise ships is likely to result in the ship becoming an incubator for infectious diseases. In this paper, we use as research scenario. Taking into consideration behavior, nature transfer route virus across different surfaces, reproduction, disinfection, studied contact infection disease on ship. Using...
Abstract Background An English version of the Patient Perception Patient-Centeredness (PPPC) scale was recently revised, and it is necessary to test this instrument in different primary care populations. Aim This study aimed assess validity reliability a Chinese PPPC scale. Design A mixed method used study. The Delphi collect qualitative quantitative data address content by calculating Content Validity Index, Ratio, adjusted Kappa, Item Impact Score. Confirmatory factor analysis (CFA)...
This study introduces an innovative method for detecting risks in transmission line insulators by developing optimized variant of YOLOv5, named Insulator-YOLO. The model addresses key challenges small-defect detection, complex backgrounds, and computational efficiency. By incorporating GhostNetV2 the backbone to streamline feature extraction introducing SE CBAM attention mechanisms, enhances its focus on critical features. Bibi-directional Feature Pyramid pyramid Network network (BiFPN) is...
Optical surgical navigation system has been a hot research topic because of its high accuracy. This paper focuses on identifying and tracking multiple instruments to meet the requirements applying in clinical medicine. The methods instrument identification based marker's geometrical arrangement markers' motion vector were applied proposed algorithm. experiments instruments' tracking, stability, space distance rotation pair at same time performed verify stereoscopic camera is capture images,...