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Nina Golyandina, Pavel Dudnik and Alex Shlemov
Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extractio...
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Wahyu Caesarendra and Tegoeh Tjahjowidodo
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Malgorzata Olszowy-Tomczyk and Dorota Wianowska
Concern for the future of the next generation leads to the search for alternative solutions for the proper management of materials considered as useless waste. This study fits into this research trend. Its aim is to demonstrate the potential of walnut hu...
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Xiaowen Chen, Naiang Wang, Simin Peng, Nan Meng and Haoyun Lv
Notwithstanding the overall improvement in the ecological condition of the Qilian Mountains, there are localized occurrences of grassland degradation, desertification, and salinization. Moreover, timely and accurate acquisition of desertification informa...
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Yang Chen, Kexin Liu, Sijun Jiang, Yiqun Sun and Hui Chen
The system differential response method for inverse estimation has received much attention in the hydrology literature. However, its underlying mechanisms remain largely unexplored, highlighting the need for this study. This study proposes the relation d...
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Yuyilan Chen, Yuqian Dai, Li Li, Chenqu Ma and Xiaogang Liu
Fashion color research takes the color information of fashion apparel as the major focus for further studies, such as style categorization or trend prediction. However, the colors in apparel are treated as isolated elements from each other, disregarding ...
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M. Niranjannaik, Amit Kumar, Zafar Beg, Abhilash Singh, Somil Swarnkar and Kumar Gaurav
The Betwa River basin, a semi-arid catchment that has been classified as a major hotspot of groundwater depletion in Central India. The rainfall and streamflow intermittency have affected agricultural practices due to the variability of groundwater avail...
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Leonardo Ranaldi, Marco Gerardi and Francesca Fallucchi
When analyzing a financial asset, it is essential to study the trend of its time series. It is also necessary to examine its evolution and activity over time to statistically analyze its possible future behavior. Both retail and institutional investors b...
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Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno and Gustavo Ramirez-Gonzalez
Recommendation systems have overcome the overload of irrelevant information by considering users? preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendation approach...
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Zhiwei Li, Jun Li, Yousheng Xia, Pingfa Feng and Feng Feng
Epileptic diseases take EEG as an important basis for clinical judgment, and fractal algorithms were often used to analyze electroencephalography (EEG) signals. However, the variation trends of fractal dimension (D) were opposite in the literature, i.e.,...
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Ruirui Hu, Lijun Yao, Jing Yu, Pimao Chen and Dongliang Wang
In this study, a combination of example-based feature extraction and visual interpretation was applied to analyze the coastline variations in the Guangdong?Hong Kong?Macao Greater Bay Area (GHMGBA) from the past four decades based on the Landsat satellit...
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Arseniy Zhogolev and Igor Savin
Most digital soil mapping (DSM) approaches aim at complete statistical model extraction. The value of the explicit rules of soil delineation formulated by soil-mapping experts is often underestimated. These rules can be used for expert testing of the not...
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Zhao Han and Xiaoli Wang
Period detection technology for weak characteristic signals is very important in the fields of speech signal processing, mechanical engineering, etc. Average magnitude difference function (AMDF) is a widely used method to extract the period of periodic s...
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Rulin Huang, Jiajia Chen, Jian Liu, Lu Liu, Biao Yu and Yihua Wu
Robust and quick road curb detection under various situations is critical in developing intelligent vehicles. However, the road curb detection is easily affected by the obstacles in the road area when Lidar based method is applied. A practical road curb ...
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Pierre-Yves Declercq, Jan Walstra, Pierre Gérard, Eric Pirard, Daniele Perissin, Bruno Meyvis and Xavier Devleeschouwer
The time series of Synthetic Aperture Radar data acquired by four satellite missions (including ERS, Envisat, TerraSAR-X and Sentinel 1) were processed using Persistent Scatterer interferometric synthetic aperture radar (InSAR) techniques. The processed ...
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Pierre-Yves Declercq, Jan Walstra, Pierre Gérard, Eric Pirard, Daniele Perissin, Bruno Meyvis and Xavier Devleeschouwer
The time series of Synthetic Aperture Radar data acquired by four satellite missions (including ERS, Envisat, TerraSAR-X and Sentinel 1) were processed using Persistent Scatterer interferometric synthetic aperture radar (InSAR) techniques. The processed ...
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Alexandre Poisson and Charles A. S. Hall
Modern economies are dependent on fossil energy, yet as conventional resources are depleted, an increasing fraction of that energy is coming from unconventional resources such as tar sands. These resources usually require more energy for extraction and u...
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Hossein Iranmanesh, Majid Abdollahzade and Arash Miranian
This paper proposes a structure for long-term energy demand forecasting. The proposed hybrid approach, called HPLLNF, uses the local linear neuro-fuzzy (LLNF) model as the forecaster and utilizes the Hodrick?Prescott (HP) filter for extraction of the tre...
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Fan Lin, Dengjie Chen, Cheng Liu and Jincheng He
This study pioneered a non-destructive testing approach to evaluating the physicochemical properties of golden passion fruit by developing a platform to analyze the fruit?s electrical characteristics. By using dielectric properties, the method accurately...
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Kangshen Xiang, Weijie Chen, Siddiqui Aneeb and Weiyang Qiao
Future UHBR (Ultra-High Bypass-Ratio) engines might cause serious ?turbine noise storms? but, at present, turbine noise prediction capability is lacking. The large turning angle of the turbine blade is the first major factor deserving special attention. ...
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