Search Results - "Yang, Zhengwei"
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CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
Published in Computers and electronics in agriculture (01-06-2012)“…► The development of an effective and efficient method of distributing CDL data. ► The building of CropScape to visualize, customize, and analyze on-demand CDL…”
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Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
Published in Geocarto international (01-08-2011)“…The National Agricultural Statistics Service (NASS) of the US Department of Agriculture (USDA) produces the Cropland Data Layer (CDL) product, which is a…”
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Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
Published in Remote sensing of environment (01-01-2017)“…The ability to regionally monitor crop progress and condition through the growing season benefits both crop management and yield estimation. In the United…”
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Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach
Published in Remote sensing (Basel, Switzerland) (01-09-2023)“…Over the past few years, there has been extensive exploration of machine learning (ML), especially deep learning (DL), for crop yield prediction, resulting in…”
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Classification of diabetic retinopathy: Past, present and future
Published in Frontiers in endocrinology (Lausanne) (16-12-2022)“…Diabetic retinopathy (DR) is a leading cause of visual impairment and blindness worldwide. Since DR was first recognized as an important complication of…”
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Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
Published in International journal of applied earth observation and geoinformation (01-10-2021)“…•A large number of trusted pixels are predicted from Cropland Data Layer (CDL) using machine learning.•Trusted pixels are applied to replace ground truth and…”
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Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Published in Journal of Materiomics (01-07-2023)“…Generative Artificial Intelligence (GAI) is attracting the increasing attention of materials community for its excellent capability of generating required…”
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Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations
Published in Remote sensing (Basel, Switzerland) (01-10-2018)“…Real-time monitoring of crop phenology is critical for assisting farmers managing crop growth and yield estimation. In this study, we presented an approach to…”
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Prussian Blue Analogues in Aqueous Batteries and Desalination Batteries
Published in Nano-micro letters (01-12-2021)“…Highlights The characteristics of Prussian blue analogues PBAs in different aqueous systems are analyzed. The relationship between structure and performance of…”
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Hydrogen Bond-Assisted Ultra-Stable and Fast Aqueous NH4+ Storage
Published in Nano-micro letters (01-12-2021)“…Highlights Zero capacity fading after over 3000 cycles at 1 C. Only 6.4% capacity is lost when rate is increased by 50 times. Diffusion mechanism of formation…”
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Noether Symmetry of Multi-Time-Delay Non-Conservative Mechanical System and Its Conserved Quantity
Published in Symmetry (Basel) (01-04-2024)“…The study of multi-time-delay dynamical systems has highlighted many challenges, especially regarding the solution and analysis of multi-time-delay equations…”
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A Machine Learning-Based High-Resolution Soil Moisture Mapping and Spatial–Temporal Analysis: The mlhrsm Package
Published in Agronomy (Basel) (01-03-2024)“…Soil moisture is a key environmental variable. There is a lack of software to facilitate non-specialists in estimating and analyzing soil moisture at the field…”
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A Multi-Stream Attention-Aware Convolutional Neural Network: Monitoring of Sand and Dust Storms from Ordinary Urban Surveillance Cameras
Published in Remote sensing (Basel, Switzerland) (01-11-2023)“…Sand and dust storm (SDS) weather has caused several severe hazards in many regions worldwide, e.g., environmental pollution, traffic disruptions, and human…”
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An Observational Study of Short‐Cycle Lightning Outbreaks in the Inner Core of Typhoon Hato (2017) Before Landfall
Published in Geophysical research letters (16-08-2023)“…This study analyzes microphysical signatures relevant to the short‐cycle lightning activity in the inner core of Typhoon Hato (2017) before landfall in China…”
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Stereological analysis and transcriptome profiling of testicular injury induced by di-(2-ethylhexyl) phthalate in prepubertal rats
Published in Ecotoxicology and environmental safety (01-09-2021)“…Di-(2-ethylhexyl) phthalate (DEHP) is the most common phthalate that can affect the male reproductive system. DEHP exposure at the prepubertal stage could lead…”
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Optically selective catalyst design with minimized thermal emission for facilitating photothermal catalysis
Published in Nature communications (01-09-2024)“…Converting solar energy into fuels is pursued as an attractive route to reduce dependence on fossil fuel. In this context, photothermal catalysis is a very…”
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Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland
Published in International journal of applied earth observation and geoinformation (01-08-2022)“…•A data service system for the selected SMAP data and its derivative data products over CONUS is developed.•All map and geoprocessing services are implemented…”
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A Novel Reconstruction of the Sparse-View CBCT Algorithm for Correcting Artifacts and Reducing Noise
Published in Mathematics (Basel) (01-05-2023)“…X-ray tomography is often affected by noise and artifacts during the reconstruction process, such as detector offset, calibration errors, metal artifacts, etc…”
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Deep learning-based postoperative visual acuity prediction in idiopathic epiretinal membrane
Published in BMC ophthalmology (21-08-2023)“…Abstract Background To develop a deep learning (DL) model based on preoperative optical coherence tomography (OCT) training to automatically predict the…”
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Spatiotemporal Changes of Winter Wheat Planted and Harvested Areas, Photosynthesis and Grain Production in the Contiguous United States from 2008–2018
Published in Remote sensing (Basel, Switzerland) (2021)“…Winter wheat is a main cereal crop grown in the United States of America (USA), and the USA is the third largest wheat exporter globally. Timely and reliable…”
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