Search Results - "Han, Congying"

Multi-objective modeling and optimization of water distribution for canal system considering irrigation coverage in artesian irrigation district by Mai, Zijun, He, Yupu, Feng, Chen, Han, Congying, Shi, Yuanzhi, Qi, Wei

“…Efficient water distribution within canal systems is essential for conserving water resources and enhancing irrigation efficiency, especially under conditions…”
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A novel method based on deep learning for aligned fingerprints matching by Liu, Yonghong, Zhou, Baicun, Han, Congying, Guo, Tiande, Qin, Jin

“…In this study, a novel method based on deep learning for aligned fingerprints matching is proposed. According to the characteristics of fingerprint images, a…”
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Improving the Spatiotemporal Resolution of Land Surface Temperature Using a Data Fusion Method in Haihe Basin, China by Lin, Rencai, Wei, Zheng, Chen, He, Han, Congying, Zhang, Baozhong, Jule, Maomao

“…Land surface temperature (LST) serves as a pivotal component within the surface energy cycle, offering fundamental insights for the investigation of…”
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Cassava Starch-Based Multifunctional Coating Incorporated with Zinc Oxide Nanoparticle to Enhance the Shelf Life of Passion Fruit by Congying, Han, Meifang, Wang, Islam, Md. Nahidul, Cancan, Shi, Shengli, Guo, Hossain, Afsana, Xiaohuang, Cao

“…Passion fruits are susceptible to numerous postharvest challenges including weight loss, ethylene production, peel shrinkage, microbial growth, and pulp…”
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Estimation of Evapotranspiration and Soil Water Content at a Regional Scale Using Remote Sensing Data by Chen, He, Wei, Zheng, Lin, Rencai, Cai, Jiabing, Han, Congying

“…The timely and accurate estimation of soil water content (SWC) and evapotranspiration (ET) is of great significance in drought estimation, irrigation…”
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A novel fingerprint classification method based on deep learning by Ruxin Wang, Congying Han, Tiande Guo

“…Fingerprint classification is an effective technique for reducing the candidate numbers of fingerprints in the stage of matching in automatic fingerprint…”
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Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization by Sun, Li, Zhao, Kang, Han, Congying, Liu, Ziwen

“…Nonnegative matrix factorization (NMF) is a powerful tool for hyperspectral unmixing (HU). This method factorizes a hyperspectral cube into constituent…”
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Effects of Crop Planting Structure Adjustment on Water Use Efficiency in the Irrigation Area of Hei River Basin by Han, Xin, Wei, Zheng, Zhang, Baozhong, Han, Congying, Song, Jianzheng

“…The adjustment of crop planting structure can change the process of water and material circulation, and thus affect the total amount of water and…”
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Research on follow-current interruption characteristics of gas discharge tube and protective measures by Xiang, Nianwen, Gu, Hongyang, Li, Kejie, Cheng, Lingyun, Yang, Jin, Zhang, Wei, Han, Congying, Yang, Chun

“…If the follow-current interruption time of gas discharge tube is too long, it will lead to short circuit trip of equipment, even breakdown and damage. In order…”
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A Method for Singular Points Detection Based on Faster-RCNN by Liu, Yonghong, Zhou, Baicun, Han, Congying, Guo, Tiande, Qin, Jin

“…Most methods for singular points detection usually depend on the orientation fields of fingerprints, which cannot achieve reliable and accurate detection of…”
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Parallel SSLE algorithm for large scale constrained optimization by Zheng, Fangying, Han, Congying, Wang, Yongli

“…In this paper, a parallel SSLE algorithm is proposed for solving large scale constrained optimization with block-separable structure. At each iteration, the…”
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A new one-step smoothing newton method for the second-order cone complementarity problem by Fang, Liang, Han, Congying

“…In this paper, we present a new one‐step smoothing Newton method for solving the second‐order cone complementarity problem (SOCCP). Based on a new smoothing…”
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Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation by Ren, Hongwei, Han, Congying, Guo, Tiande, Pei, Wei

“…With the distributed generation technology widely applied, some system problems such as overvoltages and undervoltages are gradually remarkable, which are…”
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On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem by Han, Congying, Wang, Yongli, He, Guoping

“…As a synchronization parallel framework, the parallel variable transformation (PVT) algorithm is effective to solve unconstrained optimization problems. In…”
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An Accelerated Proximal Gradient Algorithm for Singly Linearly Constrained Quadratic Programs with Box Constraints by Guo, Tiande, Zhao, Tong, Li, Mingqiang, Han, Congying

“…Recently, the existed proximal gradient algorithms had been used to solve non-smooth convex optimization problems. As a special nonsmooth convex problem, the…”
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Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique by Han, Congying, Feng, Tingting, He, Guoping, Guo, Tiande

“…A modified parallel variable distribution (PVD) algorithm for solving large-scale constrained optimization problems is developed, which modifies quadratic…”
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Spatially distributed crop model based on remote sensing by Han, Congying, Zhang, Baozhong, Chen, He, Wei, Zheng, Liu, Yu

“…•Sowing date of maize has been spatially inversed.•A distributed crop model-AquaCrop-RS model has been developed.•The precision of the AquaCrop-RS model has…”
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STDNet: Rethinking Disentanglement Learning With Information Theory by Liu, Ziwen, Li, Mingqiang, Han, Congying, Tang, Siqi, Guo, Tiande

“…Disentangled representation learning is typically achieved by a generative model, variational encoder (VAE). Existing VAE-based methods try to disentangle all…”
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Quantitative effects of changes in agricultural irrigation on potential evaporation by Han, Congying, Zhang, Baozhong, Han, Songjun

“…Evaporation is a key element to the basin's water cycle. Agricultural irrigation has resulted in a significant variation of regional potential evaporation…”
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A learnable sampling method for scalable graph neural networks by Zhao, Weichen, Guo, Tiande, Yu, Xiaoxi, Han, Congying

“…With the development of graph neural networks, how to handle large-scale graph data has become an increasingly important topic. Currently, most graph neural…”
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