A5033711071- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Evacuation and Crowd Dynamics
- Genetically Modified Organisms Research
- Impact of Light on Environment and Health
- Transportation and Mobility Innovations
- Indoor and Outdoor Localization Technologies
- Maritime Navigation and Safety
- Maritime Ports and Logistics
- Traffic control and management
- Insect Resistance and Genetics
- Spatial Cognition and Navigation
- Geographic Information Systems Studies
- Data Management and Algorithms
- Robotics and Sensor-Based Localization
- Soybean genetics and cultivation
- Mobile Agent-Based Network Management
- Traffic Prediction and Management Techniques
- Maritime Security and History
- CRISPR and Genetic Engineering
- Facility Location and Emergency Management
- Maritime Transport Emissions and Efficiency
- Visual Attention and Saliency Detection
- Vehicle Routing Optimization Methods
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025
Wuhan University
2016-2025
Ministry of Ecology and Environment
2011-2025
Nanjing Institute of Environmental Sciences
2011-2025
Guilin University of Electronic Technology
2024
Yunnan Arts University
2020-2022
Shaoxing Second Hospital
2021
National Marine Data and Information Service
2020
Shandong Marine Resource and Environment Research Institute
2020
Shenzhen University
2018
Activity space is an important concept in geography. Recent advancements of location-aware technologies have generated many useful spatiotemporal data sets for studying human activity lar...
Cross-view matching refers to the use of images from different platforms (e.g. drone and satellite views) retrieve most relevant images, where key is that viewpoints spatial resolution. However, existing methods focus on extracting fine-grained features ignore connection contextual information in image. Therefore, we propose a novel ConvNeXt-based multi-level representation learning model for solution this task. First, extract global through ConvNeXt model. In order obtain joint part-based...
Time geography is a powerful framework for analyzing human activities under various space–time constraints. At the core of time concept prism, which delimits an individual's potential activity locations in space and time. The classical however, admits only deterministic travel speeds ignores stochastic nature environments. In this article, prism model extended to congested road networks with uncertainty. A reliable proposed consider explicitly on-time arrival probability concerns face...
Vessel risk analysis is critical for safe ship navigation and maritime safety management. Near-miss collisions by ships comprise an significant risk, which may be complicated factors, such as the conditions, waterway environment, driving behavior of any encountered. Previous studies have rarely considered how to automatically adaptively estimate near-miss different situations, particularly in port areas. In this paper, we propose automatic identification system-based approach calibrating...
Investigating human mobility patterns can help researchers and agencies understand the driving forces of movement, with potential benefits for urban planning traffic management. Recent advances in location-aware technologies have provided many new data sources (e.g., mobile phone social media data) studying space-time behavioral regularity. Although existing studies utilized these datasets to characterize from various aspects, such as predicting monitoring dynamics, few focused on...
The world’s largest macroalgal blooms, Ulva prolifera, have appeared in the Yellow Sea every summer on different scales since 2007, causing great harm to regional marine economy. In this study, Normalized Difference of Vegetation Index (NDVI) index was used extract green tide prolifera from MODIS images 2016–2018, investigate its spatiotemporal patterns and calculate occurrence probability. Using standard deviational ellipse (SDE), morphological characteristics tide, including directionality...
Maritime ports face challenges associated with navigation safety, operational efficiency, and management. With the development of Internet Things, artificial intelligence simulation technologies, geographical information systems, cloud computing technologies as well aids decision support systems in maritime transportation, have potential to better manage traffic, loading, unloading. Recently, there has been growing attention unmanned shipping industry military. This paper aims extend...
Cultivated soybeans (Glycine max) and wild soja) are rich in terpenoids, however, the distribution of these terpenoids their seeds, particularly G. soja, remains unclear. In this study, metabolomics was used to analyze terpenoid spectra seed coats cotyledons max matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) employed image primary differential cotyledons. The analysis showed that had a higher content diterpenoids, which related flavor germination....
Herbicide-tolerant soybeans are the most extensively cultivated genetically modified (GM) crop globally. The effects of GM soybean and associated agronomic practices on soil microbial communities remain poorly understood. This study aimed to investigate impact planting with a glyphosate application diversity. main bacterial fungal community compositions (phylum level) were consistent for non-GM soybeans. alpha diversity analysis indicated that Shannon index was significantly higher in...
The cultivation of genetically modified (GM) maize has aroused notable public concern related to the potential risks soil fauna caused by release foreign proteins. In this study, effects cultivating GM variety DBN9936, which exhibits expression Cry1Ab and EPSPS proteins, on earthworms (Eisenia fetida) were evaluated under laboratory field conditions. No significant differences in survival, body weight, cocoon production, or hatching fed non-GM DBN318 detected after three consecutive...