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Mustafa Erkan Turan and Tulin Cetin
Sewer systems are a component of city infrastructure that requires large investment in construction and operation. Metaheuristic optimization methods have been used to solve sewer optimization problems. The aim of this study is to investigate the effects...
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Chunguang Bi, Shuo Zhang, He Chen, Xinhua Bi, Jinjing Liu, Hao Xie, Helong Yu, Shaozhong Song and Lei Shi
Ensuring the security of germplasm resources is of great significance for the sustainable development of agriculture and ecological balance. By combining the morphological characteristics of maize seeds with hyperspectral data, maize variety classificati...
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Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ...
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Mohammad Shokouhifar, Mohamad Hasanvand, Elaheh Moharamkhani and Frank Werner
Heart disease is a global health concern of paramount importance, causing a significant number of fatalities and disabilities. Precise and timely diagnosis of heart disease is pivotal in preventing adverse outcomes and improving patient well-being, there...
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Zhuofan Xu, Jing Yan, Guoqing Sui, Yanze Wu, Meirong Qi, Zilong Zhang, Yingsan Geng and Jianhua Wang
High-voltage circuit breakers (HVCBs) handle the important tasks of controlling and safeguarding electricity networks. In the case of insufficient data samples, improving the accuracy of the traditional HVCB mechanical fault diagnosis method is difficult...
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Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
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Cheng Zhu, Shaoqi Wang, Na He, Hui Sun, Linjuan Xu and Filip Gurkalo
To improve the accuracy of debris flow forecasts and serve as disaster prevention and mitigation, an accurate and intelligent early warning method of debris flow initiation based on the IGWO-LSTM algorithm is proposed. First, the entropy method is employ...
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Botang Li, Qiong Chen, Yui-yip Lau and Maxim A. Dulebenets
This study proposes a novel fuzzy programming optimization model for tugboat scheduling, directly considering multiple berthing bases, time windows, and operational uncertainties. The uncertainties in the required number of tugboats, the earliest start t...
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Li Li, Zhongxu Zhang, Dongsheng Zhao, Yue Qiang, Bo Ni, Hengbin Wu, Shengchao Hu and Hanjie Lin
The occurrence of debris flows are a significant threat to human lives and property. Estimating the debris flow scale is a crucial parameter for assessing disaster losses in such events. Currently, the commonly used method for estimating debris flow runo...
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Timmidi Nagadurga, Ramesh Devarapalli and Lukasz Knypinski
Partial shading conditions lead to power mismatches among photovoltaic (PV) panels, resulting in the generation of multiple peak power points on the P-V curve. At this point, conventional MPPT algorithms fail to operate effectively. This research work ma...
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