Study region: The Baihe River Basin located in the upper Han River, central China.Study focus: Potential evapotranspiration (PET) is commonly utilized as the forcing data for hydrological simulation.The lack of observations for estimating PET usually limits the calculation of evapotranspiration in hydrological models.Fortunately, gridded PET produc
Missing-Sheds Granularity Estimation of Glass Insulators Using Deep Neural Networks Based on Optical Imaging
Insulator defect detection is an important task in inspecting overhead transmission lines.However, the surrounding environment is complex, and the detection accuracy of traditional image processing algorithms is low.Therefore, insulator defect detection is still mainly performed manually.In order to improve this situation, we proposed an insulator
A novel optimization algorithm (Lion-AYAD) to find optimal DNA protein synthesis
Thermal Cutout In this paper, we present a new algorithm to find the optimal proteins generated through DNA synthesis.The algorithm executes in five stages: in the first stage, it takes a DNA sequences and consider it as the initial populations of lions, determined the main positions of each lion and the main distances among lions and goal point th