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Qi Wang, Peng Guo, Shiwei Dong, Yu Liu, Yuchun Pan and Cunjun Li
Accurate extraction of cropland distribution information using remote sensing technology is a key step in the monitoring, protection, and sustainable development of black soil. To obtain precise spatial distribution of cropland, an information extraction...
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Wen Xue, Ju Chen, Fang Xie, Changhu Ye and Chengbin Liu
The behavior of two series of corroded thin-walled concrete-filled steel tubes (CFSTs) was investigated in this paper. One series, called the CT series, consists of fourteen CFST specimens corroded by NaCl solution, while the other, called the AT series,...
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Sharanya Senthamil Selvan, Sridhar P. Arjunan, Ramakrishnan Swaminathan and Dinesh Kant Kumar
Early-stage detection of cardiac autonomic neuropathy (CAN) is important for better management of the disease and prevents hospitalization. This study has investigated the complex nature of PR, QT, RR, and ST time segments of ECG signals by computing the...
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Jinchao Wang, Qijun Guo, Wei Chen and Houceng Liu
In order to more accurately realize the automatic identification and quantitative characterization of coral reef multi-scale pore structure, this paper has carried out such research. On the basis of using multiple information acquisition technology, it c...
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Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, Mazin Abed Mohammed, Habibollah Haron, Nechirvan Asaad Zebari, Robertas Dama?evicius and Rytis Maskeliunas
Breast cancer detection using mammogram images at an early stage is an important step in disease diagnostics. We propose a new method for the classification of benign or malignant breast cancer from mammogram images. Hybrid thresholding and the machine l...
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Franck Schoefs, Michael O?Byrne, Vikram Pakrashi, Bidisha Ghosh, Mestapha Oumouni, Thomas Soulard and Marine Reynaud
Hard marine growth is an important process that affects the design and maintenance of floating offshore wind turbines. A key parameter of hard biofouling is roughness since it considerably changes the level of drag forces. Assessment of roughness from on...
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Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform exp...
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Zilong Qin, Jinxin Wang and Yan Lu
Multifractal theory provides a reliable method for the scientific quantification of the geomorphological features of basins. However, most of the existing research has investigated small and medium-sized basins rather than complex and large basins. In th...
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Christos Karydas and Bin Jiang
A new method for selecting optimal scales when mapping topographic or hydrographic features is introduced. The method employs rank-size partition of heavy-tailed distributions to detect nodes of rescaling invariance in the underlying hierarchy of the dat...
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Ding Ma, Zhigang Zhao, Ye Zheng, Renzhong Guo and Wei Zhu
Map generalization is a process of reducing the contents of a map or data to properly show a geographic feature(s) at a smaller extent. Over the past few years, the fractal way of thinking has emerged as a new paradigm for map generalization. A geographi...
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