A5101444597- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- 3D Surveying and Cultural Heritage
- Schizophrenia research and treatment
- Temporomandibular Joint Disorders
- Oropharyngeal Anatomy and Pathologies
- Chronic Disease Management Strategies
- NMR spectroscopy and applications
- Leaf Properties and Growth Measurement
- Advanced Neuroimaging Techniques and Applications
- Advanced Image Fusion Techniques
- Satellite Communication Systems
- Acute Ischemic Stroke Management
- Regional Economic and Spatial Analysis
- Laser Design and Applications
- Bipolar Disorder and Treatment
- Advanced Image Processing Techniques
- Safety and Risk Management
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Migration, Aging, and Tourism Studies
- Electrocatalysts for Energy Conversion
- Robotics and Sensor-Based Localization
- Bone and Dental Protein Studies
- Health disparities and outcomes
East China Normal University
2024
Hong Kong Science and Technology Parks Corporation
2024
University of Hong Kong
2023-2024
Aerospace Information Research Institute
2021-2024
Chinese Academy of Sciences
2007-2024
Chinese University of Hong Kong
2024
University of Chinese Academy of Sciences
2021-2023
Shanghai Jiao Tong University
2023
Institute of Process Engineering
2023
Nanjing University of Information Science and Technology
2023
Currently, positioning, navigation, and timing information is becoming more vital for both civil military applications. Integration of the global navigation satellite system /inertial most popular solution various carriers or vehicle positioning. As well-known, positioning accuracy will degrade in signal challenging environments. Under this condition, integration fade to a standalone inertial outputting solutions. However, without outer aiding, errors diverge quickly due noise contained raw...
Hyperspectral light detection and ranging (LiDAR) (HSL) combines the characteristics of hyperspectral imaging LiDAR techniques into a single instrument without any data registration. It provides more information than or alone in extraction vegetation physiological biochemical parameters. However, laser pulse intensity is affected by incident angle, its effect on HSL has not yet been fully explored. important for employing to investigate properties. The aim this paper study angle leaf...
Hyperspectral LiDAR (HSL) is a new remote sensing detection method with high spatial and spectral information ability. In the process of laser scanning, echo intensity affected by many factors. Therefore, it necessary to calibrate backscatter data HSL. Laser incidence angle one important factors that affect target. This paper studied radiometric calibration effect for The reflectance natural surfaces can be simulated as combination specular reflection diffuse reflection. linear Lambertian...
Hyperspectral LiDAR (HSL) has been utilised as an efficacious technique in objects classification and recognition based on its synchronously obtaining spectral spatial information. However, the information obtained by most of developed HSL was visible near-infrared range (VNIR, 400–1000 nm). Whereas a longer wavelength showed more useful for detection, such detecting vegetation water content. This paper proposed tested eight-channel prototype covering to even short-wavelength infrared...
Abstract Light Detection and Ranging (LiDAR) sensors are popular in Simultaneous Localization Mapping (SLAM) owing to their capability of obtaining ranging information actively. Researchers have attempted use the intensity that accompanies each range measurement enhance LiDAR SLAM positioning accuracy. However, before employing intensities SLAM, a calibration operation is usually carried out so independent incident angle range. The determined from laser beam transmitting time. Therefore, key...
Background Clozapine is widely regarded as a highly efficacious psychotropic drug that largely underused worldwide. Recent disproportionality analyses and nationwide case-control studies suggested potential association between clozapine use hematological malignancy (HM). Nevertheless, the absolute rate difference not well-established due to absence of analytic cohort studies. The clinical significance such risk remains unclear. Methods findings We extracted data from territory-wide public...
Convolutional neural networks (CNN) are capable of extracting features with high accuracy, which is dominant in visual-based classification. Previous researches demonstrate that CNN can extract essential the target plant feature extraction and Hyperspectral LIDAR (HSL) a novel active remote sensing technology simultaneously collect spectral spatial information. This paper proposed classification method named VI-CNN for hyperspectral LiDAR, combines vegetable index(VI). As far as we know,...
<title>Abstract</title> Background Previous observational studies suggested that temporomandibular disorders (TMD) are associated with neurodegenerative diseases (NDs). This association may be mediated by confounding factors or reverse causation. Therefore, the objective of this study was to test causal relationship between TMD and four most common NDs [Alzheimer's disease (AD), Parkinson's (PD), Amyotrophic Lateral Sclerosis (ALS) Multiple (MS)]. Methods Data on (N = 134,280), AD 63,926),...
<title>Abstract</title> Objectives Temporomandibular disorders (TMD) are the second most prevalent musculoskeletal condition after chronic low back pain, and have been demonstrated to be associated with a multiple factors. However, studies on relationship between diet TMD limited. This study examined causal association using Mendelian randomization (MR) analysis. Materials methods Leveraging large-scale genome-wide (GWAS) data, we employed MR analysis assess associations TMD. three primary...
Objectives Older individuals with multimorbidity are at an elevated risk of infection and complications from COVID-19. Effectiveness post-COVID-19 interventions or care models in reducing subsequent adverse outcomes these have rarely been examined. This study aims to examine the effectiveness attending general outpatient within 30 days after discharge COVID-19 on 1-year survival among older adults aged 85 years above multimorbidity. Design Retrospective cohort emulating a randomised target...
<title>Abstract</title> <bold>Introduction</bold>: Antipsychotic users are at an elevated risk of major adverse cardiovascular events (MACE) due to many interacting factors. However, specific antipsychotic agents, underlying multimorbidity, and chronic medication patterns in relation MACE little explored. <bold>Aims</bold>: To identify patients’ characteristics with increased people multimorbidity using antipsychotics develop evaluate a time-to-event prediction model. <bold>Methods</bold>:...
Light Detection and Ranging (LiDAR) intensity is associated with the target surface material, which could help points cloud classification. However, also laser beam incident angle transmitting distance, obstructs its further application in Motivated by this problem, paper proposed a practical method for employing LiDAR intensities classification without distance calibration, specifically, ratio values between different spectral channels from newly invented Hyper-spectral (HSL) were defined...
<abstract><p>In many cases, the 'labeled' outcome is difficult to observe and may require a complicated or expensive procedure, predictor information easy be obtained. We propose semi-supervised estimator for one-dimensional varying coefficient regression model which improves conventional supervised by using unlabeled data efficiently. The proposed introducing intercept its asymptotic properties are proven. Monte Carlo simulation studies real example conducted examine finite...
Earth observation (EO) satellite data includes geospatial information (GI), which is a significant source to help human being understand the situation of earth ecosystem. Due large volume and heterogeneity data, sharing integrating are huge issue for GI catalog services. The service specification implemented by working group co-lead Key Laboratory Quantitive Remote Sensing Information Technology (QRSIT) Chinese Academy Sciences utilizes OpenSearch (OS) protocol centralize integrate...
To reduce the redundancy of nuclear magnetic resonance (NMR) echo data, kernel principal component analysis (KPCA) is used in compression. The algorithm data compression using KPCA introduced detail, and specific calculation process given. Four commonly functions are selected: Gaussian kernel, linear polynomial exponential kernel. effect based on these four NMR obtained from complex pore structure formation compared analyzed. study found that: Principal (PCA) not suitable for with structure....
This article has been retracted by the publisher.
Stroke is one of major challenge in healthcare systems. A comprehensive overview trends stroke prevalence can provide a better understanding the burden disease. This paper summarizes results national wide epidemiological surveys and attributable risk factors China. According to analysis, disease China increasing, with an increasing trend incidence, prevalence, mortality. In China, showed significant age differences, gender geographical differences urban-rural differences. The north-eastern...
Hyperspectral LIDAR (HSL) is an innovative active remote sensing technology that allows for the simultaneous collection of spectral and spatial information. In this study, we primarily focus on radiation correction method incident angle distance effects backscatter intensity HSL. We have developed a comprehensive radiometric model addresses these effects. Additionally, applied to point cloud classification using random forest method. Comparing accuracy before after correction, observed 9.6%...
Entropy modeling plays an important role in estimating the rates of latent representations and optimizing rate-distortion performance for learned image compression. Autoregression modules are demonstrated to eliminate spatial/channel-wise redundancy fixed-rate However, it cannot be efficiently achieved progressive coding due high computational complexity raised by element-wise probability prediction. In this paper, we propose a compression method that enables spatial autoregression entropy...