A5071236925- Hydrological Forecasting Using AI
- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Modular Robots and Swarm Intelligence
- Toxic Organic Pollutants Impact
- Gaze Tracking and Assistive Technology
- Flood Risk Assessment and Management
- Microbial bioremediation and biosurfactants
- Antibiotics Pharmacokinetics and Efficacy
- Energy Load and Power Forecasting
- Microplastics and Plastic Pollution
- Advanced Computing and Algorithms
- Analytical Chemistry and Chromatography
- Carbon and Quantum Dots Applications
- Traditional Chinese Medicine Studies
- Fish Ecology and Management Studies
- Water Quality and Pollution Assessment
- Reservoir Engineering and Simulation Methods
- Pharmaceutical and Antibiotic Environmental Impacts
- Water Quality Monitoring and Analysis
- Stock Market Forecasting Methods
- Metaheuristic Optimization Algorithms Research
China West Normal University
2025
Wenzhou University
2020-2024
Wenzhou Medical University
2012-2024
First Affiliated Hospital of Wenzhou Medical University
2017-2024
Shanghai Ocean University
2018-2024
East China Normal University
2023-2024
Zhejiang University of Technology
2012
Clean water is an indispensable essential resource on which humans and other living beings depend. Therefore, the establishment of a quality prediction model to predict future conditions has significant social economic value. In this study, based artificial neural network (ANN), discrete wavelet transform (DWT), long short-term memory (LSTM) was constructed Jinjiang River. Firstly, multi-layer perceptron used process missing values time series in dataset research. Secondly, Daubechies 5...
With the accelerated industrialization and urbanization process, water pollution in rivers is being increasingly worsened, has caused a series of ecological environmental issues. The prediction river quality index (WQI) prerequisite for prevention management. However, data non-smooth non-linear, strong coupling relationship between different parameters that influence each other observed, making it an inevitable problem to accurately predict parameters. To this end, combination machine...
The issue of global water shortage is a serious concern. scientific evaluation resource carrying capacity (WRCC) serves as the foundation for implementing measures to protect resources. In addition, most studies are based on analysis and research regional WRCC from aspects quantity quality. There few four resources endowment conditions, society, economy ecological environment, which difficult scientifically accurately reflect by systems. Therefore, it necessary conduct deeper discussion...
Tai Lake, the third largest freshwater lake in China, with a history of serious ecological pollution incidents. Lake water quality prediction techniques are essential to ensure an early emergency response capability for sustainable management. Herein, effective data-driven ensemble model was developed predicting dissolved oxygen (DO) based on meteorological factors, indicators and spatial information. First, variation mode decomposition (VMD) used decompose data into multiple modal...
Abstract With the rapid development of urbanization and continuous improvement living standards, China's domestic water consumption shows a growing trend. However, in some arid deficient areas, shortage resources is crucial factor affecting regional economic population growth. Therefore, it essential to reliably predict future data region. Aiming at problems poor prediction accuracy overfitting non-growth series traditional grey prediction, this paper uses residual model combined with Markov...
Abstract Water is a fundamental natural and strategic economic resource that plays vital role in promoting social development. With the accelerated urbanization industrialization China, potential demand for water resources will be enormous. Therefore, accurate prediction of important formulation industrial agricultural policies, development plans, many other aspects. In this study, we develop model based on principal component analysis (PCA) back propagation (BP) neural network to predict...
The Family Traveling Salesperson Problem (FTSP) is a variant of the (TSP), in which all vertices are divided into several different families, and goal problem to find loop that concatenates specified number with minimal overhead. As Non-deterministic Polynomial Complete (NP-complete) problem, it difficult deal by traditional computing. On contrary, as computer strong parallel ability, DNA has incomparable advantages over digital computers when dealing NP problems. Based on this, algorithm...
Introduction Isaria cicadae , a historically valued edible and medicinal fungus in China, has been experiencing critical decline abundance due to ecological degradation overexploitation. Understanding its potential distribution is essential for promoting sustainable harvesting practices. Methods This study utilizes the MaxEnt model, combined with known records 22 environmental variables, predict of I. under three representative emission scenarios (CMIP6: SSP1-2.6, SSP2-4.5, SSP5-8.5) 2050s...