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Yu Ji, Wenxu Yan and Wenyuan Wang
With the increase in the use of high-frequency power electronic devices, the harmonics injected into the power grid show a trend of high-frequency development. The continuous rise of the supraharmonic emission level in the distribution network has become...
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Cleovan Barbosa Pinto, Daiane das Graças do Carmo, Juliana Lopes dos Santos, Marcelo Coutinho Picanço Filho, Juliana Magalhães Soares, Renato Almeida Sarmento, Eraldo Lima, Leandro Bacci and Marcelo Coutinho Picanço
Maize (Zea mays) is the most consumed food in the world. The leafhopper, Dalbulus maidis, (Hemiptera: Cicadellidae) is one of the most important maize pests, and due to its direct and indirect damage, it can cause losses of up to 100%. Sampling plans are...
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Marko Kaasik, Outi Meinander, Leena Leppänen, Kati Anttila, Pavla Dagsson-Waldhauserova, Anders Ginnerup, Timo Hampinen, Yijing Liu, Andri Gunnarsson, Kirsty Langley and Ali Nadir Arslan
Snow sampling, either by inserting a tube through the entire snowpack or by taking samples from the vertical profile, is widely applied to measure the snow depth, density, and snow water equivalent (SWE). A comparative study of snow-sampling methods was ...
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Yali Gong, Huan Xie, Yanmin Jin and Xiaohua Tong
In recent years, the availability of multi-temporal global land-cover datasets has meant that they have become a key data source for evaluating land cover in many applications. Due to the high data volume of the multi-temporal land-cover datasets, probab...
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Cláudia M. Viana, Luis Encalada and Jorge Rocha
OpenStreetMap (OSM) is a free, open-access Volunteered geographic information (VGI) platform that has been widely used over the last decade as a source for Land Use Land Cover (LULC) mapping and visualization. However, it is known that the spatial covera...
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James Jin Kang, Kiran Fahd and Sitalakshmi Venkatraman
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James Jin Kang, Kiran Fahd and Sitalakshmi Venkatraman
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James Jin Kang, Kiran Fahd and Sitalakshmi Venkatraman
Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed the us...
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Hairong Zhang, Lijiang Lu, Yanhua Liu and Wei Liu
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Hairong Zhang, Lijiang Lu, Yanhua Liu and Wei Liu
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Greg Simpson and Yi Hwa Wu
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Hadeel Alsolai and Marc Roper
Various prediction models have been proposed by researchers to predict the change-proneness of classes based on source code metrics. However, some of these models suffer from low prediction accuracy because datasets exhibit high dimensionality or imbalan...
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Sebastian López-Mejía, Andrés Felipe Piedrahita-Montes
Pág. e18466
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Linlin Ji, Rui Zhang, Huijian Han and Ahmad Chaddad
Image magnification can be reduced to construct an approximation surface with data points in the image while keeping image details and edge features. In this paper, a new image magnification method is proposed by constructing piecewise bicubic polynomial...
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Mengchuang Zhang, Shasha Xia, Xiaochuan Li, Qin Yao, Yang Xu and Zhiping Yin
Reliability-based design optimization (RBDO) has become a prevalent design for aeronautical and aerospace engineering. The main problem is that it is impractical in complex cases with multi-failure regions, especially in multi-objective optimization. The...
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Heyan Wang, Dahai Li, Xinwei Zhang, Renhao Ge and Wanxing Zheng
Sampled points on a measured surface are not evenly spaced on rectangular grids but, rather, have a more general quadrilateral geometry due to the perspective effect of the off-axis configuration, which is extensively utilized in phase measuring deflecto...
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Jingjing Zhang, Yanlong Liu and Weidong Zhou
Adaptive sampling of the marine environment may improve the accuracy of marine numerical prediction models. This study considered adaptive sampling path optimization for a three-dimensional (3D) marine observation platform, leading to a path-planning str...
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Yuzhe Bai, Fengjun Hou, Xinyuan Fan, Weifan Lin, Jinghan Lu, Junyu Zhou, Dongchen Fan and Lin Li
With the widespread application of drone technology, the demand for pest detection and identification from low-resolution and noisy images captured with drones has been steadily increasing. In this study, a lightweight pest identification model based on ...
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Jiawei Zhang, Xin Zhao, Tao Jiang, Md Mamunur Rahaman, Yudong Yao, Yu-Hao Lin, Jinghua Zhang, Ao Pan, Marcin Grzegorzek and Chen Li
This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end convolutional neural network (CNN) model with an encoder?decoder architecture...
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Yuxin Zhao, Yanlong Liu and Xiong Deng
The observation path planning of an ocean mobile observation network is an important part of the ocean mobile observation system. With the aim of developing a traditional algorithm to solve the observation path of the mobile observation network, a comple...
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