A5100672813- Metabolomics and Mass Spectrometry Studies
- Natural Language Processing Techniques
- Topic Modeling
- Robot Manipulation and Learning
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Vitamin D Research Studies
- Semantic Web and Ontologies
- Efficiency Analysis Using DEA
- Metaheuristic Optimization Algorithms Research
- Cloud Computing and Resource Management
- Vitamin K Research Studies
- Adversarial Robustness in Machine Learning
- Advanced NMR Techniques and Applications
- Computational Drug Discovery Methods
- Vitamin C and Antioxidants Research
- Bioinformatics and Genomic Networks
- Advanced Multi-Objective Optimization Algorithms
- Parasitic infections in humans and animals
- Reinforcement Learning in Robotics
Shandong Institute of Automation
2024
Jiangnan University
2024
University of Newcastle Australia
2023
Xiamen University
2019-2020
Quzhou University
2018
Hepatic alveolar echinococcosis (HAE) is caused by the growth of Echinococcus multilocularis larvae in liver. It a chronic and potentially lethal parasitic disease. Early stage diagnosis for this disease currently not available due to its long asymptomatic incubation period. In study, proton nuclear magnetic resonance (
Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Because its high recurrence rate and heterogeneity, effective treatment for advanced stage HCC currently lacking. There are accumulating evidences showing the therapeutic potential pharmacologic vitamin C (VC) on HCC. However, metabolic basis underlying anticancer property VC remains to be elucidated. In this study, we used high-resolution proton nuclear magnetic resonance-based metabolomics technique assess global...
The integration of robotics into domestic environments poses significant challenges due to the dynamic and varied nature these settings. This paper introduces a new framework that combines vision-guided object recognition with adaptive grasping policies learned from human demonstrations. By harnessing computer vision technology, our system employs deep learning algorithms, particularly Convolutional Neural Networks (CNNs), precisely detect classify household objects. Simultaneously, uses...
In metabolomics, pathway analysis normally refers to of a pre-defined sets metabolites (metabolite set) associated the metabolic pathways. The metabolite set is useful facilitate biological interpretation metabolomics data. currently available methods may be divided into three generations: over-representation analysis, functional class scoring, and network topology analysis. Among generations tools, have been shown lower false discovery rates better interpretability than other two earlier...
Large Language Models (LLMs) have garnered considerable attention owing to their remarkable capabilities, leading an increasing number of companies offering LLMs as services. Different achieve different performance at costs. A challenge for users lies in choosing the that best fit needs, balancing cost and performance. In this paper, we propose a framework addressing cost-effective query allocation problem LLMs. Given set input queries candidate LLMs, our framework, named OptLLM, provides...
Job scheduling is crucial for optimising resource utilisation and cost in cloud computing, but it poses a significant challenge due to the heterogeneous nature of resources increasing number on-demand requests. On one hand, must ensure Service Level Agreements (SLAs), which are often established between users providers. other mechanisms operate effectively under various constraints improve quality services provided by platforms. In this paper, we propose novel local search-based job method,...