A5102782007- Marine and coastal ecosystems
- Face Recognition and Perception
- Water Quality Monitoring and Analysis
- Neural and Behavioral Psychology Studies
- Aquatic Ecosystems and Phytoplankton Dynamics
- Visual perception and processing mechanisms
- Visual Attention and Saliency Detection
- Water Quality Monitoring Technologies
- Evolutionary Psychology and Human Behavior
- Air Quality Monitoring and Forecasting
- Face and Expression Recognition
- Memory and Neural Mechanisms
- Stochastic processes and financial applications
- Intracranial Aneurysms: Treatment and Complications
- Infrared Target Detection Methodologies
- Natural Language Processing Techniques
- Face recognition and analysis
- Impact of Light on Environment and Health
- Neural dynamics and brain function
- Dementia and Cognitive Impairment Research
- Advanced Image Fusion Techniques
- Fish Ecology and Management Studies
- Advanced X-ray and CT Imaging
- Sparse and Compressive Sensing Techniques
- Functional Brain Connectivity Studies
Zhejiang University
2024-2025
Shanghai Maritime University
2012-2024
Qingdao University of Technology
2024
Nanjing Normal University
2017-2022
Lenovo (China)
2022
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2018-2021
Neusoft (China)
2016
Kochi University of Technology
2010-2015
Xidian University
2015
Fudan University
2009-2010
Atmospheric correction is an essential prerequisite for obtaining accurate inland water color information. An atmospheric algorithm, ACbTC (Atmospheric Correction based on Turbidity Classification), was proposed in this study by using OLCI (Ocean and Land Color Instrument) SLSTR (Sea Surface Temperature Radiometer) synergistic observations the first time. This method includes two main steps: (1) turbidity classification GRA index (GRAdient of spectrum index); (2) use images. The algorithm...
Convolutional Neural Networks (CNNs) have recently been introduced to Alzheimer's Disease (AD) diagnosis. Despite their encouraging prospects, most of the existing models only process AD-related brain atrophy on a single spatial scale, and high computational complexity. Here, we propose novel Attention-based 3D Multi-scale CNN model (AMSNet), which can better capture integrate multiple spatial-scale features AD, with concise structure. For binary classification between 384 AD patients 389...
Water optical clustering based on water color information is important for many ecological and environmental application studies, both regionally globally. The fuzzy method avoids the sharp boundaries in type-memberships produced by hard methods, thus presents its advantages. However, to make good use of methods spectra data sets, determination fuzzifier parameter (m) FCM (fuzzy c-means) key factor. Usually, m set 2 default. Unfortunately, this assigned some membership degrees non-belonging...
Bloom occurrence probability prediction is a critical issue for freshwater resource management and protection. As the mechanism of algal blooms not understood, construction model mainly depends on statistical data. Therefore, knowledge prior bloom derived from data plays significant role in establishing model. In this study, naïve Bayesian incorporating information was constructed to predict probabilities 1–7 days advance under different weather conditions Dianchi Lake. The proposed utilised...
Intracranial aneurysm is a cerebrovascular disease associated with high rupture risk, often resulting in death or severe disability. Recent advances AI enable the prediction of intracranial initiation, progression, and through medical image analysis. Despite growing research interest, there shortage publicly available datasets for training validating models. This paper presents comprehensive dataset comprising high-resolution CTA images 99 patients 105 MCA aneurysms 44 normal healthy...
Traditional remote sensing observation can only derive chlorophyll-a concentration in surface water (Chlasurf), which is insufficient for quality monitoring or biogeochemical applications. In this paper, a column-integrated biomass (CIB) estimation algorithm was established Lake Dianchi, China, and the CIB estimated by Ocean Land Color Instrument (OLCI) data from 2016 to 2018. First, results show that method applicable nonbloom conditions [mean absolute percentage error (MAPE) = 10.55%, mean...
Recently, numerous bio-optical algorithms have been proposed to estimate chlorophyll-a (Chla) concentration in global surface waters. The surge of is mainly due the heterogeneity waters, especially inland systems. To reduce redundant modeling work for waters and enhance usability algorithms, it urgent evaluate published similar optical water types. However, approaches algorithm assessment previous studies vary error metrics usage or relative comparison, leading current lack a standard...
The identification of urban black-odor water bodies plays an important role in monitoring and controlling bodies. In 2016, a ground survey was conducted on the reach Nanjing, 55 samples from West Shazhou River, Tuwei Xuanwu Lake, Jinchuan River were obtained. spectral characteristics other analyzed. Recognition algorithms for GF-2 data proposed order to analyze spatial distribution environmental factors These single-band thresholds based reflectance green band, difference between blue band...
As one of the optically active components, phytoplankton are common photosynthetic organisms in oceans, nearshore, and inland water bodies. The variations algal density play a crucial role understanding primary productivity, carbon cycling, early warning blooms. In this study, three typical eutrophic lakes China, Lake Taihu, Chaohu, Dianchi, were taken as research area. Algorithms for estimating cyanobacteria-dominated non-cyanobacteria-dominated types developed based on Mie theory. results...
Previous studies have found that attention orienting is influenced by the processes of previous trials in a spatial cueing paradigm. This study mainly investigated whether this sequence effect could happen for non-predictive arrow cue and it was cue-target SOAs current trials. A significant observed cues even when voluntary control not required, significantly The present results support automatic memory check hypothesis may reflect some temporal characteristics mechanism sequential...