A5044224292- Radiomics and Machine Learning in Medical Imaging
- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Time Series Analysis and Forecasting
- Cancer Genomics and Diagnostics
- Technology and Security Systems
- Topological and Geometric Data Analysis
- Complex Network Analysis Techniques
- Space Exploration and Technology
- Vehicle License Plate Recognition
- Smart Grid and Power Systems
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Treatments and Studies
- AI in cancer detection
- Advanced Manufacturing and Logistics Optimization
- Robotic Path Planning Algorithms
- Data Visualization and Analytics
- Cholangiocarcinoma and Gallbladder Cancer Studies
Sun Yat-sen University
2022-2025
Sixth Affiliated Hospital of Sun Yat-sen University
2024-2025
South China University of Technology
2023-2024
Zhejiang Normal University
2024
Accurate and fast histological diagnosis of cancers is crucial for successful treatment. The deep learning-based approaches have assisted pathologists in efficient cancer diagnosis. remodeled microenvironment field cancerization may enable the cancer-specific features image non-cancer regions surrounding cancer, which provide additional information not available region to improve Here, we proposed a learning framework with fine-tuning target proportion towards tissues images gastric Through...
To combat cybercrimes and maintain financial security for the blockchain ecosystem, "know your customer" (KYC) is an essential also challenging process due to pseudonymity nature of technology. unlock potential KYC on blockchain-based platforms like Ethereum, account labeling a powerful means which can de-anonymize addresses by mining public transaction records. Existing studies are mainly conducted via machine learning (ML) methods fed with hand-crafted features or graph neural networks...
Unmanned surface vessels (USVs) are generally subjected to wind force, wave and undercurrent action. Some unidentified objects such as underwater obstacles submerged reefs should be monitored evaded with converged communication, autonomous control network system so achieve automatic avoidance of danger real-time flight path. Next, based on performing interference mechanics analysis the USVs under disturbance force water surface, relationship parameters between bow angle, deviation safety...
Abstract Background: Gastrointestinal cancer has become a severe burden around the world. Marker-guided treatment and clinical trials with sensitive anti-tumor drugs are critical for improving survival. The decreasing DNA methylation levels of repetitive elements, such as LINE-1 ALU, have been identified common biomarkers in aging. However, it remains unclear whether elements can imply drug sensitivity gastrointestinal cancer. We investigated association ALU methylations cytotoxic...
As an actual market entity, electric vehicle aggregators (EVA) play the role of providing ancillary services for utility and optimizing allocation flexible resources to balance economic interests various entities inject stability into grid. Instead expanding conventional model-driven solution, this paper proposes a data-driven deep reinforcement learning (DRL)-based optimization strategy EVA. The proposed scheme is two-layer energy management strategy, with upper layer aiming minimize...