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Mengmeng Liu, Qingwen Zhang, Feng Fan and Shizhao Shen
A new approach for investigating snowdrifts around buildings and snow loads on building roofs based on a new facility named the ?snow?wind combined experimental facility? is proposed in this paper. First, the method proposed in this paper is convenient a...
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S. S. Belymenko,V. O. Ishchenko
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María del Prado Garrido, Juan Francisco Rodriguez, Maria Jesús Ramos, Manuel Carmona, Francisco Javier Redondo Calvo and Ana Maria Borreguero
The scale-up and the economic feasibility of the synthesis of St-MMA-GMA-PEGMA particles biofunctionalized with HSA were studied. First, the geometrical similarity of laboratory and pilot plant reactors was checked to develop the scale up of the process ...
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Wanpeng Shi, Jianwei Zhang, Chunlei Xin, Danqing Song, Nan Hu and Bowei Li
With the development of infrastructure construction, an increasing number of projects are faced with the problem of hydraulic and dynamic coupling. However, traditional physical model materials mainly consider the single factor influence and lack compreh...
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Raoul R. Nigmatullin and Jocelyn Sabatier
This work was greatly influenced by the opinions of one of the authors (JS), who demonstrated in a recent book that it is important to distinguish between ?fractal models? and ?fractal? (power-law) behaviors. According to the self-similarity principle (S...
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Lan Huang, Yuanwei Zhao, Bo Wang, Dongxu Zhang, Rui Zhang, Subhashis Das, Simone Bocca and Fausto Giunchiglia
Knowledge graph-based data integration is a practical methodology for heterogeneous legacy database-integrated service construction. However, it is neither efficient nor economical to build a new cross-domain knowledge graph on top of the schemas of each...
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Sun-Young Ihm, Shin-Eun Lee, Young-Ho Park, Aziz Nasridinov, Miyeon Kim and So-Hyun Park
Collaborative filtering (CF) is a recommendation technique that analyzes the behavior of various users and recommends the items preferred by users with similar preferences. However, CF methods suffer from poor recommendation accuracy when the user prefer...
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Zhaohua Wang, Nan Wu, Qingguo Wang, Yongxin Li, Quanwei Yang and Fenghe Wu
Biological structures have excellent mechanical performances including lightweight, high stiffness, etc. However, these are difficult to apply directly to some given complex structures, such as automobile frame, control arm, etc. In this study, a novel b...
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Daniela Alexandra Embus, Andres Julián Castillo, Fulvio Yesid Vivas, Oscar Mauricio Caicedo and Armando Ordóñez
Network selection plays a pivotal role in ensuring efficient handover management. Some existing approaches for network selection may use one criterion, such as RSSI (Received Signal Strength Indicator) or SINR (Signal to Interference Noise Ratio). Howeve...
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Hongjie Zou, Yitao Zhang, Jun Zhang, Chuanglu Chen, Xingguang Geng, Shaolong Zhang and Haiying Zhang
Pulse wave signal sensed over the radial artery on the wrist is a crucial physiological indicator in disease diagnosis. The sensor array composed of multiple sensors has the ability to collect abundant pulse wave information. As a result, it has graduall...
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Müslüm Hacar and Türkay Gökgöz
Road-matching processes establish links between multi-sourced road lines representing the same entities in the real world. Several road-matching methods have been developed in the last three decades. The main issue related to this process is selecting th...
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Yiyuan Sun, Qiang Wang, Kevin Tansey, Sana Ullah, Fan Liu, Haimeng Zhao and Lei Yan
Image-based line segment extraction plays an important role in a wide range of applications. Traditional line segment extraction algorithms focus on the accuracy and efficiency, without considering the integrity. Serious line segmentation fracture proble...
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Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang and Xincai Wu
Imbalanced learning is a methodological challenge in remote sensing communities, especially in complex areas where the spectral similarity exists between land covers. Obtaining high-confidence classification results for imbalanced class issues is highly ...
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Chien-Ming Chou
This study presents the application of a set pair analysis-based similarity forecast (SPA-SF) model and wavelet denoising to forecast annual runoff. The SPA-SF model was built from identical, discrepant and contrary viewpoints. The similarity between est...
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