DEEP LEARNING CONVOLUTIONAL NEURAL NETWORK FOR THE RETRIEVAL OF LAND SURFACE TEMPERATURE FROM AMSR2 DATA IN CHINA

Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China

A convolutional neural network (CNN) algorithm was developed to retrieve the land surface temperature (LST) click here from Advanced Microwave Scanning Radiometer 2 (AMSR2) data in China.Reference data were selected using the Moderate Resolution Imaging Spectroradiometer (MODIS) LST product to overcome the problem related to the need for synchronou

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Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic

The control schemes of a wheelchair having two wheels with movable payload utilizing the concept of a double-link inverted pendulum have been investigated in this article.The proposed wheelchair has been simulated using SimWise 4D software considering the most efficient parameters.These parameters are extracted using the spiral dynamic algorithm wh

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Interception performance of intake structures with a flow diversion barrier under supercritical flow conditions

Intake structures are commonly used in drainage systems to redirect surface rainfall runoff into underground tunnels.The Hong Kong West Drainage Tunnel (HKWDT) system is designed to capture stormwater from steep upland catchments during periods of heavy rainfall, concurrently maintaining a minimal environmental flow downstream during dry alphaville

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