A5101990690- Forest, Soil, and Plant Ecology in China
- Remote Sensing and Land Use
- Artificial Intelligence in Healthcare
- Plant Ecology and Soil Science
- China's Ethnic Minorities and Relations
- Global Cancer Incidence and Screening
- Machine Learning in Healthcare
- Ecology and Conservation Studies
- Chinese history and philosophy
- Energy Load and Power Forecasting
- Lung Cancer Treatments and Mutations
- Environmental Changes in China
- Data-Driven Disease Surveillance
- E-commerce and Technology Innovations
- Smart Grid and Power Systems
- Human Mobility and Location-Based Analysis
- Postharvest Quality and Shelf Life Management
- Spectroscopy and Chemometric Analyses
- Fungal Biology and Applications
- Vietnamese History and Culture Studies
- Traffic Prediction and Management Techniques
- Evaluation Methods in Various Fields
- Data Management and Algorithms
- Power Systems and Renewable Energy
- Neural dynamics and brain function
Zhejiang Normal University
2002-2025
Northeast Normal University
2025
Nanjing Tech University
2024
Air Force General Hospital PLA
2021
Southeast University
2019-2021
Jiangxi Agricultural University
2021
National University of Singapore
2021
Shandong University
2015
China Agricultural University
2011
Xi'an University of Technology
2011
Soil cadmium pollution can adversely affect the cultivation of ornamental plant, Coleus scutellarioides. Upon contamination soil, growth C. scutellarioides is impeded, and it may even succumb to toxic accumulation cadmium. In this study, we investigated effects arbuscular mycorrhizal fungi (AMF) on adaptation stress, by measuring physiological metabolism degree root damage scutellarioides, with Aspergillus oryzae as test fungi. The results indicated that stress increased activity superoxide...
Modeling of second primary lung cancer (SPLC) patients' survival prediction has important theoretical significance and practical needs. Cancer survivability may provide advice for better clinical decisions personalized medicine. The Surveillance, Epidemiology, End Results (SEER) program provides large data sets analysis with machine learning methods. SPLC cases are identified labeled from the SEER database; set is then preprocessed improved eigenvector centrality-based feature selection...
The modeling of comorbid cancer patients' survivability has theoretical significance and practical needs. Cancer prediction may provide guidance for clinical decision making personalized medicine. Surveillance, Epidemiology, End Results(SEER) program provides large data sets suitable analysis with machine learning methods. In this study, we consider survival to be a two-stage problem. first is predict the five-year patients. For those whom predicted outcome `death', second stage predicts...
According to the highly complexity, nonlinearity and uncertainty of traffic flow, a single prediction model is difficult ensure accuracy efficiency. To overcome lack method, this paper uses method that combining rough set with support vector machine, called RS-SVM, by exploiting complementary advantages both approaches. Firstly, theory for data reduction pretreatment, then constructs flow based on machine according information structure. The results are better than BP Neural network model....
Identifying of Schizophrenia patients' fMRI data has attracted lots researchers' attention. Due to the complex nature data, we need generate "networks" analyze internal mechanism brain's function. It can be obtained by identifying functional "nodes" and conducting a similarity analysis between time series nodes. [1] gICA method extract (ICA maps) network without prior knowledge anatomy, Pearson correlation coefficient measures "nodes". With sliding window techniques, dynamic model is built....
Abstract Stellar spectral classification is crucial in astronomical data analysis. However, existing studies are often limited by the uneven distribution of stellar samples, posing challenges practical applications. Even when balancing categories and their numbers, there room for improvement accuracy. This study introduces a Continuous Wavelet Transform using Super Morlet wavelet to convert spectra into images. A novel neural network, Feature Network, proposed classifying these from Large...
Modeling of Cancer comorbid patients' survival probability has theoretical significance and practical needs. survivability prediction may provide advices for clinical decisions personalized medicine. Surveillance, Epidemiology, End Results Program (SEER) provides large data sets to be analyzed with machine learning methods. In this study, male female cancer cases(male-genital urinal men breast female-genital women) are identified labeled from the SEER database; set is then processed improved...
Stock return prediction has been a hot topic in both research and industry given its potential for large financial gain. The signal, apart from inherent volatility complexity, is often accompanied by multitude of noises, such as other stocks' performance, macroeconomic factors news, etc. To better characterize these factors, we propose new model that consists two levels sequence: an NLP-based module to capture the sequential nature words sentences time-series-based exploit adjacent...