A5101893638- Remote-Sensing Image Classification
- Forest Management and Policy
- Remote Sensing and Land Use
- Regional Economic and Spatial Analysis
- Complex Network Analysis Techniques
- Conservation, Biodiversity, and Resource Management
- Advanced Image Fusion Techniques
- Advanced Computational Techniques and Applications
- Energy Load and Power Forecasting
- Optical Systems and Laser Technology
- Environmental Conservation and Management
- Wildlife Ecology and Conservation
- Radiation Effects in Electronics
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Smart Grid and Power Systems
- Web Data Mining and Analysis
- Power Systems and Renewable Energy
- Wetland Management and Conservation
- Advanced Text Analysis Techniques
- Animal Ecology and Behavior Studies
- Evaluation Methods in Various Fields
- Mining Techniques and Economics
- Maritime Navigation and Safety
- Environmental Quality and Pollution
East China University of Science and Technology
2024
National University of Defense Technology
2014-2024
Ministry of Ecology and Environment
2024
Nanjing Institute of Environmental Sciences
2024
Hohai University
2024
Nanjing University of Chinese Medicine
2024
Hunan Normal University
1999-2021
China Electric Power Research Institute
2017-2020
Google (United States)
2020
Anhui University
2019
Simulation of future land space changes in urban agglomerations is a powerful means to optimize regional spatial structure and improve human well-being. This study highlights the equilibrium between development ecological protection introduces impact coefficient use measure degree sustainable development. The system dynamic model was used simulate dynamics space, agricultural Changsha-Zhuzhou-Xiangtan agglomeration from 2019 2035. Four scenarios were simulation, namely, status-quo,...
We present a fast, accurate and robust parallel Levenberg-Marquardt minimization optimizer, GPU-LMFit, which is implemented on graphics processing unit for high performance scalable model fitting processing. GPU-LMFit can provide dramatic speed-up in massive analyses to enable real-time automated pixel-wise parametric imaging microscopy. demonstrate the of applications superresolution localization microscopy fluorescence lifetime
Enhancing the path planning capabilities of ships is crucial for ensuring navigation safety, saving time, and reducing energy consumption in complex maritime environments. Traditional methods, reliant on static algorithms singular models, are frequently limited by physical constraints ships, such as turning radius, struggle to adapt environment’s variability emergencies. The development reinforcement learning has introduced new methods perspectives addressing environments, achieving...
With the increasing use of polyethylene glycol (PEG) based proteins and drug delivery systems, anti-PEG antibodies have commonly been detected among population, causing accelerated blood clearance hypersensitivity reactions, poses potential risks to clinical efficacy safety PEGylated drugs. Therefore, vigilant monitoring is crucial for both research guidance regarding The enzyme-linked immunosorbent assay (ELISA) a common method detecting antibodies. However, diverse coating methods,...
People's attitudes towards public events or products may change overtime, rather than staying on the same state. Understanding how sentiments overtime is an interesting and important problem with many applications. Given a certain event product, user's expressed in microblog stream can be regarded as vector. In this paper, we define novel of sentiment evolution analysis, develop simple yet effective method to detect user-level for events. We firstly propose multidimensional model...
In machine learning based single image super-resolution, the degradation model is embedded in training data generation. However, most existing satellite super-resolution methods use a simple down-sampling with fixed kernel to create images. These work fine on synthetic data, but do not perform well real We propose realistic generation for commercial imagery products, which includes only imaging process satellites also post-process ground. convolutional neural network optimized Experiments...
Due to the cloud cover, power generation of photovoltaic plant will reduce suddenly, that may lead instability grid and bring some risks. Cloud observation is often used in very shortterm prediction power. However, haze weather, The quality total sky image fall, recognition effect reduced, further leads decreased levels prediction.This study presents a algorithm,which takes into account decline caused by haze. So algorithm improves precision generation. Firstly, extraction method using...
With the development of social network media, text classification oriented to has attracted increasing attention. The enormous amounts user generated content in could offer tremendous information various topics. Article automatic is a challenging problem. However, traditional methods for Chinese article are insufficient due high volume, topic variety and data sparseness. In this paper, we propose novel framework network. Sentence extraction techniques utilized get summarization an article....
Under the backdrop of achieving carbon neutrality and accelerating urbanization, China’s forests face unprecedented pressures. This study explored spatiotemporal characteristics forest loss in urban agglomeration middle reaches Yangtze River (UAMRYR). The dynamic mechanism caused by fire, logging, construction, pollution was also analyzed using spatial database development, polygon superposition analysis, grid system coordinate calculation. results show that UAMRYR experienced three stages:...
Question classification is an important step in question answering system.There are many previous work based on machine learning about classification.Although they effective and practical, most of them require finding specific features to train the designed classifier.So it cannot be common use all situations.Recently, deep methods has shown its remarkable strength natural language processing.Deep neural networks like CNN LSTM helpful for sentence classification.The able extract high-level...