A5100379358- Advanced Radiotherapy Techniques
- Natural Language Processing Techniques
- Medical Imaging Techniques and Applications
- Muon and positron interactions and applications
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Shoulder and Clavicle Injuries
- Prostate Cancer Diagnosis and Treatment
- Spine and Intervertebral Disc Pathology
- Anomaly Detection Techniques and Applications
- Spinal Fractures and Fixation Techniques
- Underwater Acoustics Research
- Web Data Mining and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Image Retrieval and Classification Techniques
- Interpreting and Communication in Healthcare
- Innovative Educational Techniques
- Multimodal Machine Learning Applications
- Advanced Algorithms and Applications
- Video Analysis and Summarization
- Time Series Analysis and Forecasting
- Text and Document Classification Technologies
- Image and Object Detection Techniques
- Mathematical Biology Tumor Growth
- Imbalanced Data Classification Techniques
The Affiliated Yongchuan Hospital of Chongqing Medical University
2025
Chongqing Medical University
2025
University of Electronic Science and Technology of China
2024
Shenyang Aerospace University
2023-2024
Xihua University
2024
China National Petroleum Corporation (China)
2024
Shenzhen University
2024
Shenzhen Technology University
2024
Yale University
2001-2023
Sichuan University
2023
High precision measurements of two Zeeman hyperfine transitions in the ground state muonium a strong magnetic field have been made at LAMPF using microwave resonance spectroscopy and line narrowing technique. These determine most precise values structure interval $\ensuremath{\Delta}\ensuremath{\nu}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}4463302765(53)\mathrm{Hz}$ $(12\mathrm{ppb})$, ratio moments...
Following a suggestion from Kostelecký et al., we evaluated test of CPT and Lorentz invariance the microwave spectroscopy muonium. Hamiltonian terms beyond standard model violating would contribute frequency shifts deltanu(12) deltanu(34) to nu(12) nu(34), two transitions involving muon spin flip, which were precisely measured in ground state muonium strong magnetic field 1.7 T. The be indicated by anticorrelated oscillations nu(34) at Earth's sidereal frequency. No time dependence was found...
Synthetic Aperture Radar (SAR) target detection plays a crucial role in both military and civilian fields, attracting significant attention from researchers globally. CenterNet, single-stage method, is known for its high speed accuracy by eliminating anchor-related calculations non-maximum suppression (NMS). However, directly applying CenterNet to SAR ship poses challenges due the distinctive characteristics of images, including lower resolution, signal-to-noise ratio, larger aspect ratios....
Background: Early differentiation between spinal tuberculosis (STB) and acute osteoporotic vertebral compression fracture (OVCF) is crucial for determining the appropriate clinical management treatment pathway, thereby significantly impacting patient outcomes. Objective: To evaluate efficacy of deep learning (DL) models using reconstructed sagittal CT images in early STB from OVCF, with aim enhancing diagnostic precision, reducing reliance on MRI biopsies, minimizing risks misdiagnosis....
Large language models (LLMs) have demonstrated remarkable capabilities across a range of text-generation tasks. However, LLMs still struggle with problems requiring multi-step decision-making and environmental feedback, such as online shopping, scientific reasoning, mathematical problem-solving. Unlike pure text data, collecting large-scale data is challenging. Moreover, many powerful are only accessible through APIs, which hinders their fine-tuning for agent tasks due to cost complexity. To...
Popular topic detection is a identification by the information of documents posted users in social networking platforms. In large body research literature, most popular methods identify distribution unknown topics integrating from based on However, among these methods, them have low accuracy due to short text content and abundance useless punctuation marks emoticons. Image texts has also been overlooked, while this may contain real matter user's content. order solve above problems improve...
Resonance line narrowing up to 1/2 of the natural linewidth has been observed for microwave magnetic-resonance transitions between Zeeman levels ground-state muonium at a strong magnetic field 1.7 T. The lines are in good agreement with predicted shapes and useful precision determination \ensuremath{\Delta}\ensuremath{\nu} ${\mathrm{\ensuremath{\mu}}}_{\mathrm{\ensuremath{\mu}}}$/${\mathrm{\ensuremath{\mu}}}_{\mathit{p}}$.
As machine learning models become increasingly integrated into practical applications and are made accessible via public APIs, the risk of model extraction attacks has gained prominence. This study presents an innovative efficient approach to attacks, aimed at reducing query costs enhancing attack effectiveness. The method begins by leveraging a pre-trained identify high-confidence samples from unlabeled datasets. It then employs unsupervised contrastive thoroughly dissect structural nuances...
In recent years, with the development of deep learning, SAR image-based ship target-detection technology has become a current research hotspot. images are characterized by complex backgrounds, significant speckle noise interference, and poor interpretability. To address this challenge, study proposes new Gaussian circle radius determination strategy multi-level feature fusion codec-based detection network (MFFC-SDN) for images. Differing from CenterNet's corner-oriented strategy, proposed in...
Recent works have shown that Large Language Models (LLMs) could empower traditional neuro-symbolic models via programming capabilities to translate language into module descriptions, thus achieving strong visual reasoning results while maintaining the model's transparency and efficiency. However, these usually exhaustively generate entire code snippet given each new instance of a task, which is extremely ineffective. We propose generative by growing reusing modules. Specifically, our model...
We propose an image retrieval methodology for a collection of similar images. By similar, we mean that one can define, the collection, set dimensions, and each which features. The dimensions are used to capture essential characteristics images in features describing certain degree. call this strategy fine-grained differentiate it from more common coarse-grained retrieval, does not assume any semantic properties on collection. effectiveness our is demonstrated through icon-based interactive...
Neural network models are commonly used as black-box services, but they vulnerable to model stealing attacks, where an attacker can train a substitute with similar performance the original by exploiting limited information related target model. This cause significant losses owner of and pose serious security risk. To advance our understanding neural networks promote evolution protection mechanisms, we conducted in-depth research on attacks. In this paper, propose attack framework that...
In this paper, the problem of continuous data assimilation three dimensional primitive equations with magnetic field in thin domain is studied. We establish well-posedness system and prove that $H^2$-strong solution converges exponentially to reference sense $L^2$ as $t\rightarrow \infty$. also study sensitivity analysis a sequence solutions difference quotient equation converge unique formal equation.