A5073493056- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Space Exploration and Technology
- Land Use and Ecosystem Services
- Planetary Science and Exploration
- Remote Sensing in Agriculture
- Urban Green Space and Health
- 3D Surveying and Cultural Heritage
- Astro and Planetary Science
- Membrane Separation and Gas Transport
- Remote Sensing and LiDAR Applications
- Urban Transport and Accessibility
- Gas Dynamics and Kinetic Theory
- Aerosol Filtration and Electrostatic Precipitation
- Heavy Metal Exposure and Toxicity
- Membrane Separation Technologies
- Human Mobility and Location-Based Analysis
- Long-Term Effects of COVID-19
- Fire Detection and Safety Systems
- Advanced Decision-Making Techniques
- Innovative Microfluidic and Catalytic Techniques Innovation
- EEG and Brain-Computer Interfaces
- Membrane-based Ion Separation Techniques
- Safety Warnings and Signage
- Evacuation and Crowd Dynamics
Nanchang University
2025
First Affiliated Hospital of Jiangxi Medical College
2025
Wuhan University
2021-2024
State Key Laboratory of Biotherapy
2024
Sichuan University
2024
University of Ottawa
2024
Chang'an University
2022-2023
Nanjing University of Information Science and Technology
2021-2022
Xiamen University
2020
Shanghai Ninth People's Hospital
2020
Abstract. Due to rapid urbanization and intense human activities, the urban heat island (UHI) effect has become a more concerning climatic environmental issue. A high-spatial-resolution canopy UHI monitoring method would help better understand thermal environment. Taking city of Nanjing in China as an example, we propose for evaluating intensity (CUHII) at high resolution by using remote sensing data machine learning with random forest (RF) model. Firstly, observed parameters, e.g., surface...
Rapid increases in urban sprawl affect the observational environment around meteorological stations by changing land use/land cover (LULC) and anthropogenic heat flux (AHF). Based on remote sensing images GIS technology, we investigated impact of changes both LULC AHF induced urbanization Yangtze River Delta (YRD) during 2000–2018. Our results show that environments were significantly affected rapid expansion built-up areas subsequent increase AHF, with a clear spatiotemporal variability. A...
The health of Canadians is already impacted by climate change due to wildfire smoke, heat domes, floods, droughts, and the changing distribution vector borne disease. healthcare sector contributes change, accounting for approximately 4.6% annual greenhouse gas emissions in Canada. Healthcare teams have a responsibility opportunity reduce harm limiting waste, engaging public understanding planetary links between clean air water, stable climate, healthy planet human health. Transformation...
SARS-CoV-2 is the causative virus of devastating COVID-19 pandemic that results in an unparalleled global health and economic crisis. Despite unprecedented scientific efforts therapeutic interventions, fight against continues as rapid emergence different variants concern increasing challenge long COVID-19, raising a vast demand to understand pathomechanisms its long-term sequelae develop strategies beyond per se . Notably, addition itself, replication cycle clinical severity also governed by...
True Digital Orthophoto Maps (TDOMs) have high geometric accuracy and rich image characteristics, making them essential geographic data for national economic social development. Complex terrain artificial structures, automatic distortion elimination occluded area recovery in TDOM generation pose significant challenges. Hence, the need further improvements both mapping automation is highlighted. In this paper, we present an approach generating a based on Neural Radiance Field (NeRF) without...
Three-dimensional (3D) mapping of planetary surfaces is critical for exploration missions and scientific research (Gwinner et al., 2016). Previous mainly focused on employing rigorous techniques such as photogrammetry photoclinometry to generate topographic products digital elevation models (DEMs). While the integration these two can yield detailed precise data, photoclinometric algorithms are heavily dependent radiometric data surface reflectance behaviors (Chen, Hu, 2024; Liu Wu, 2023),...
Previous studies have analyzed symptom clusters in patients with coronavirus disease 2019 (COVID-19); however, evidence regarding the core and their influencing factors post-COVID-19 pulmonary fibrosis (PCPF) remains unclear, affecting precision of interventions. This study aimed to identify PCPF. Demographic disease-related associated these were also analyzed. A total 350 PCPF recruited from China between January 2023 April 2024. self-reported assessment scale was used for this survey....
Existing satellite true digital orthophoto map (TDOM) generation methods are designed for ground elevation data. Obtaining large-scale and high-precision 3D data is prohibitively costly, while low-precision introduces issues such as relief displacement, boundary distortion, artefacts. Furthermore, producing TDOMs from images captured under various lighting conditions can cause colour inconsistency problems. These impose limitations on the application development of TDOMs. In this paper, we...
The autonomous underwater vehicle (AUV) aided mobile data collection is an effective method for reducing the energy consumption of acoustic (UWA) sensor networks. In this paper, we propose AUV-aided path-planning scheme using cooperative transmission mechanism a medium-scale UWA network. proposed scheme, analyze not only consumption, but also task duration and cost comprehensively practical applications. We four different schemes in terms nodes travel AUV. simulation results show that lawn...
During the different periods of a day, imbalanced distribution inbound ridership, that is related to land use, results in extreme flow, which makes metro management challenging. The causes passenger flow from perspective use station areas are studied this paper. More specifically, based on site classification, impact including floor area ratio and gross was explored by using multiple linear regression model. first indicate intensities peak hourly were 0.41, 0.21, 0.20 around business,...
With increases in urbanization, agricultural production space is facing a series of problems, such as limited spatial development, loss development entities, and difficulties transformation, posing huge challenge to national food security sustainable rural development. The peasant household, the main body space, plays key role solving human–land conflicts achieving revitalization. In this article, we analyze evolution characteristics under influence household behavior Yanhe River Basin from...
Context . Asteroids preserve important information about the origin and evolution of Solar System. Three-dimensional (3D) surface models asteroids are essential for exploration missions scientific research. Regular methods 3D reconstruction asteroids, such as stereo-photogrammetry (SPG), usually struggle to reconstruct textureless areas can only generate sparse models. Stereo-photoclinometry (SPC) pixel-wise topographic details but its performance depends on availability images obtained...
Abstract. Due to rapid urbanization and intense human activities, the urban heat island (UHI) effect has become a more concerning climatic environmental issue. A high spatial resolution canopy UHI monitoring method would help better understand thermal environment. Taking city of Nanjing in China as an example, we propose for evaluating intensity (CUHII) at by using remote sensing data machine learning with Random Forest (RF) model. Firstly, observed parameters [e.g., surface albedo, land...
This paper designs a cloud-brain control method and system for fire-fighting based on sub-band pass filter group the problem that firefighting troops can't quickly grasp fire point information when they rescue fires in high-rise buildings. The key technology controlling UAV using EEG signals is acquisition, feature extraction classification of signals. First, we use Mexican straw hat wavelet transform to decompose reconstruct original brain waves. Secondly, pre-processed brainwave signal,...