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Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
Published 2021-01-01Get full text
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An Efficient Compact Difference Method for Temporal Fractional Subdiffusion Equations
Published 2019-01-01Get full text
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Strong Convergence of a Monotone Projection Algorithm in a Banach Space
Published 2013-01-01Get full text
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Fixed Point Theorems on Nonlinear Binary Operator Equations with Applications
Published 2014-01-01Get full text
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A new conceptual model for seed germination and seedling tillering of winter wheat in the field
Published 2025-01-01Get full text
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Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays
Published 2009-01-01Get full text
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Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication
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Multi-Step Forecasting of Chlorophyll Concentration with Multi-Attention Collaborative Network
Published 2025-01-01Get full text
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The immunogenicity of PRV ΔgE/TK/UL49.5 three-gene-deleted vaccine in mice
Published 2025-02-01Get full text
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Spatial Difference Analysis of Water Resources Carrying Capacity in Henan Province
Published 2022-01-01“…Taking 18 cities in Henan Province as the research objects,this paper selects 16 indicators from the water resources-society-economy-ecology composite system.Utilizing the entropy weight TOPSIS method,it conducts the spatial difference analysis and comprehensive evaluation of water resources carrying capacity on 18 cities in Henan Province in 2018.The evaluation results show that the water resources carrying capacity of Henan Province in 2018 is weak.From the perspective of spatial difference,the water resources carrying capacity is the strongest in the southern region,followed by the western region,and the northern and eastern regions are the weakest.Cities with descending water resources carrying capacity are as follows: Xinyang, Zhumadian, Nanyang, Zhengzhou, Sanmenxia, Luoyang, Pingdingshan, Shangqiu, Luohe, Jiyuan, Xuchang, Zhoukou, Anyang, Kaifeng,Hebi,Xinxiang,Jiaozuo,Puyang.The water resources subsystem and the economic subsystem have great influences on water resources carrying capacity in different cities.GDP,water production modulus,and precipitation affect the water resources carrying capacity most in 2018.…”
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