Sheng Miao
Biographic Data
| ID | 7928045 |
|---|---|
| NAME | Sheng Miao |
| GIVEN NAMES | Sheng |
| FAMILY NAME | Miao |
| SIGNATURE | MIAO S |
| AFFILIATIONS | Qingdao University of Technology |
| ORCID | 0000-0001-6176-3624 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A new scale to assist in evaluating architectural proposals on the natural dimension based on psychometrics
Applying Convolutional Neural Network to Predict Soil Erosion
The development of ecological restoration projects is unsatisfactory, and soil erosion is still a problem in ecologically restored areas. Traditional soil erosion studies are mostly based on satellite remote sensing data and traditional soil erosion models, which cannot accurately characterize the soil erosion conditions in ecological restoration areas (mainly plantation forests). This paper uses high-resolution unmanned aerial vehicle (UAV) imag…
Predicting Groundwater Indicator Concentration Based on Long Short-Term Memory Neural Network
Prediction of groundwater quality is an essential step for sustainable utilization of water resources. Most of the related research in the study area focuses on water distribution and rational utilization of resources but lacks results on groundwater quality prediction. Therefore, this paper introduces a prediction model of groundwater quality based on a long short-term memory (LSTM) neural network. Based on groundwater monitoring data from Octob…
A Visual SLAM Robust against Dynamic Objects Based on Hybrid Semantic-Geometry Information
A visual localization approach for dynamic objects based on hybrid semantic-geometry information is presented. Due to the interference of moving objects in the real environment, the traditional simultaneous localization and mapping (SLAM) system can be corrupted. To address this problem, we propose a method for static/dynamic image segmentation that leverages semantic and geometric modules, including optical flow residual clustering, epipolar con…
Applying machine learning in intelligent sewage treatment
No prominent works on this page.
A Visual SLAM Robust against Dynamic Objects Based on Hybrid Semantic-Geometry Information
A visual localization approach for dynamic objects based on hybrid semantic-geometry information is presented. Due to the interference of moving objects in the real environment, the traditional simultaneous localization and mapping (SLAM) system can be corrupted. To address this problem, we propose a method for static/dynamic image segmentation that leverages semantic and geometric modules, including optical flow residual clustering, epipolar con…
Applying machine learning in intelligent sewage treatment
Predicting Groundwater Indicator Concentration Based on Long Short-Term Memory Neural Network
Prediction of groundwater quality is an essential step for sustainable utilization of water resources. Most of the related research in the study area focuses on water distribution and rational utilization of resources but lacks results on groundwater quality prediction. Therefore, this paper introduces a prediction model of groundwater quality based on a long short-term memory (LSTM) neural network. Based on groundwater monitoring data from Octob…
Applying Convolutional Neural Network to Predict Soil Erosion
The development of ecological restoration projects is unsatisfactory, and soil erosion is still a problem in ecologically restored areas. Traditional soil erosion studies are mostly based on satellite remote sensing data and traditional soil erosion models, which cannot accurately characterize the soil erosion conditions in ecological restoration areas (mainly plantation forests). This paper uses high-resolution unmanned aerial vehicle (UAV) imag…
A new scale to assist in evaluating architectural proposals on the natural dimension based on psychometrics
Computer Science (4 works) · Environmental Science (3 works) · Artificial Intelligence (2 works) · Ecology (2 works) · Engineering (2 works) · Geology (2 works) · Groundwater and Watershed Analysis (2 works) · Hydrology (agriculture (2 works) · Machine learning (2 works) · Water Quality Monitoring Technologies (2 works)