Yuze Zhang

Distributed service restoration strategy for interconnected distribution networks with soft and hard switches

Yuanyuan Chai, Zechao Ma, Yuze Zhang, Qi Li

For the large-scale power outage problem of distribution networks (DNs) caused by main transformer fault, this paper proposes a two-stage distributed service restoration strategy based on the generalized Benders decomposition algorithm for interconnected DNs with soft and hard switches. Firstly, the optimization …

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Research on the Layout and Configuration of Aircraft Cockpit Sensor Network for Pilot Behavior Recognition

Yuze Zhang

Flight safety encompasses a wide range of contributing factors, among which pilot behavior within the cockpit represents the most critical determinant of flight safety. The advancement of sensor technology and artificial intelligence has rendered automatic pilot behavior detection a prominent research area. …

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Estimating Maize Leaf Area Index Using Multi-Source Features Derived from UAV Multispectral Imagery and Machine Learning Models

Hongyan Li, Caixia Huang, Yuze Zhang, Shuai Li et autres

Leaf area index (LAI) is a critical indicator of canopy architecture and physiological performance, serving as a key parameter for crop growth monitoring and management. Although UAV multispectral imagery provides rich spectral and spatial information, the limitations of single texture features for …

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TeGCN:Temporal Evolution-Aware Trust Evaluation for Dynamic Social Networks

Changli Liu, Geming Xia, Chaodong Yu, Yuze Zhang et autres

Dynamic trust evaluation in online social networks is of great significance for applications such as recommendation systems, financial risk control, and e-commerce, but it remains a challenging research problem. Most existing methods are based on static network topologies or simple temporal modeling, …

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Spectral Index Optimization and Machine Learning for Hyperspectral Inversion of Maize Nitrogen Content

Yuze Zhang, Caixia Huang, Hongyan Li, Shuai Li et autres

Hyperspectral remote sensing provides a powerful tool for crop nutrient monitoring and precision fertilization, yet its application is hindered by high-dimensional redundancy and inter-band collinearity. This study aimed to improve maize nitrogen estimation by constructing three types of two-dimensional full-band spectral indices—Difference …

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An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification

Lingjie Li, Yuze Zhang, Zhijiao Xiao, Qiuzhen Lin et autres

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Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer

Yuze Zhang, Lingjie Li, Qiuzhen Lin, Ling Wang et autres

Band selection (BS) is a key method in Hyperspectral image (HSI) classification that helps to reduce the computational burden and improve the class separability. However, with the emerging of unmanned aerial vehicle (UAV)-borne HSI datasets, their attributes such as high spatial and …

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Heterogeneous Multi Relation Trust for SIoT Service Recommendation

Geming Xia, Chaodong Yu, Linxuan Song, Wei Peng et autres

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Distributed Service Restoration Strategy for Interconnected Distribution Networks with Generalized Benders Decomposition Algorithm

Yuanyuan Chai, Yuze Zhang, Zechao Ma, Qingsong Li et autres

The main transformer fault may cause large-scale power outages of distribution networks (DNs) and bring tremendous impact on the social and economic development. Fully exploiting the potential of areas interconnection and grid flexibility in DNs could improve the resilience of power grid …

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A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization

Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji et autres

Cooperative co-evolution (CC) is a promising direction in solving large-scale multiobjective optimization problems (LMOPs). However, most existing methods of grouping decision variables face some difficulties when searching in the huge search space. Specifically, the methods of grouping decision variables can be classified …

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Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images

Yuze Zhang, Qiuzhen Lin, Lingjie Li, Zhijiao Xiao et autres

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Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images

Lingjie Li, Yuze Zhang, Qiuzhen Lin, Zhong Ming et autres

Feature selection (FS) is a very important technique for hyperspectral image (HSI) classification, as successfully selecting informative features can significantly increase the learning performance while reducing the computational cost. However, most of the existing FS methods tend to treat the HSI as …

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