A5046472240- Marine and coastal ecosystems
- Water Quality and Pollution Assessment
- Hydrological Forecasting Using AI
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Air Quality Monitoring and Forecasting
- Educational Research and Pedagogy
- Gaze Tracking and Assistive Technology
- Advanced Computing and Algorithms
- Non-Invasive Vital Sign Monitoring
- Educational Technology and Assessment
- Student Assessment and Feedback
- Hand Gesture Recognition Systems
- Aquatic Ecosystems and Phytoplankton Dynamics
- Marine and fisheries research
- Soil and Water Nutrient Dynamics
- Phonocardiography and Auscultation Techniques
- ECG Monitoring and Analysis
Peking University
2024
Nankai University
2021-2024
Sichuan University
2023
Changsha University of Science and Technology
2020
The electrocardiogram (ECG) signal can easily be affected by various types of noises while being recorded, which decreases the accuracy subsequent diagnosis. Therefore, efficient denoising ECG signals has become an important research topic. In paper, we proposed approach based on empirical mode decomposition (EMD), sample entropy, and improved threshold function. This method better remove noise provide diagnosis service for computer-based automatic medical system. work includes three stages...
Abstract Chromophoric dissolved organic matter (CDOM) in aquatic environments is an important component of the biogeochemical cycle and carbon cycle. The aim this study to investigate long‐term changes CDOM shallow eutrophic Chaohu Lake, as well its relationship with climate, environment social factors. Using long time series Landsat image data machine learning technology, spatiotemporal evolution since 1987 was reconstructed. A total 180 samples were collected, which divided into three...
Atmospheric correction (AC) is a crucial step in the quantitative analysis of inland and coastal waters. In this study, performances six water-based AC methods (SeaDAS, ACOLITE-DSF/EXP, C2RCC, iCOR) were evaluated by using multiple global datasets (N = 139). Four evaluation strategies applied including spectral similarity Chlorophyll-a retrieval. The results showed that SeaDAS ACOLITE-DSF performed best terms analytical match, band ratios, retrieval, similarity. had lowest RMSE blue-green...
Gaze is a significant behavioral characteristic that can be used to reflect person’s attention. In recent years, there has been growing interest in estimating gaze from facial videos. However, estimation remains challenging problem due variations appearance and head poses. To address this, framework for 3D using cues developed this study. The begins with an end-to-end approach detect landmarks. Subsequently, we employ normalization method improve the orthogonal matrices conduct comparative...
Abstract Assignment revision is an important part of English assignment teaching, which great significance in guiding the direction teaching as well improving students’ writing ability, so it value to establish a scientific and reasonable model quality evaluation method. This paper proposes education by evaluating ability students College A then proposing system. An empirical study article’s conclusion. The article concludes that student’s overall review scores are around 78%, highest score,...
<p>The estimation of water quality parameters (WQPs) using remote sensing is difficult due to the complex correlation between WQPs and optical properties, interactions WQPs, impacts climate. We proposed enhanced multimodal deep learning (EMDL) models for Chlorophyll-a (Chla), total phosphorous (TP), nitrogen (TN), Secchi disk depth (SDD), dissolved organic carbon (DOC), oxygen (DO) in Lake Simcoe, Canada. The EMDL were developed validated reflectance derived from harmonized...
<p>The precise estimation of seawater quality parameters is crucial for decision-makers to manage coastal water resources. Although various machine learning (ML)-based algorithms have been developed retrieval using remote sensing technology, the performance these models in application specific regions remains significant uncertainty due different properties waters. Moreover, prediction results ML are unexplainable. To address problems, an ML-based ensemble model was this study....
<p>Dissolved oxygen (DO) effectively indicates the health and self-purification capacity of waterbodies. However, since DO is a non-optically active parameter has little impact on spectrum captured by satellite sensors, research estimating remote sensing at multiple spatiotemporal scales are limited. In this study, support vector regression models were developed validated using reflectance derived from both Landsat Moderate Resolution Imaging Spectroradiometer (MODIS) data...