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The freight forecasting of river-sea direct transport (RSDT) is crucial for the policy making of river-sea transportation facilities and the decision-making of relevant port and shipping companies. This paper develops a multi-step approach framework for ...
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Yiji Ma, Yuzhe Zhao, Jiahao Yu, Jingmiao Zhou and Haibo Kuang
Shipping companies and maritime organizations want to improve the energy efficiency of ships and reduce fuel costs through optimization measures; however, the accurate fuel consumption prediction of fuel consumption is a prerequisite for conducting optim...
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Lara Ramadan, Isam Shahrour, Hussein Mroueh and Fadi Hage Chehade
Improving the energy efficiency of the building sector has become an increasing concern in the world, given the alarming reports of greenhouse gas emissions. The management of building energy systems is considered an essential means for achieving this go...
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Lin Zhao, Yipeng Wang and Jianhua Cheng
The lithium-ion battery has become the primary energy source of many electronic devices. Accurately forecasting the remaining useful life (RUL) of a battery plays an essential role in ensuring reliable operatioin of an electronic system. This paper inves...
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Qianqian Ba, Yumin Chen, Susu Deng, Qianjiao Wu, Jiaxin Yang and Jingyi Zhang
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Xingdong Zhu, Mark A. Nanny, Elizabeth C. Butler
Pág. 2736 - 2744
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Chengmin Zhou, Lansong Jiang and Jake Kaner
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research?a review of the subject background and applications of Kansei engineering and gr...
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Liguo Zhang, Xinquan Chen, Yonggang Zhang, Fuwei Wu, Fei Chen, Weiting Wang and Fei Guo
In order to establish an effective early warning system for landslide disasters, accurate landslide displacement prediction is the core. In this paper, a typical step-wise-characterized landslide (Caojiatuo landslide) in the Three Gorges Reservoir (TGR) ...
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Yongjun Zhang, Chengguo Wang, Liu Yan, Daoliang Li and Xiaoshuan Zhang
Accurate prediction of forthcoming oxygen concentration during waterless live fish transportation plays a key role in reducing the abnormal occurrence, increasing the survival rate in delivery operations, and optimizing manufacturing costs. The most effe...
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Panagiotis Pintelas and Ioannis E. Livieris
During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained a significant attention from the scientific community. Machine learning ensemble methods combine multiple learning algorithms to obta...
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Dong Zhou, Long Xue, Yijia Song and Jiayu Chen
Lithium-ion battery on-line remaining useful life (RUL) prediction has become increasingly popular. The capacity and internal resistance are often used as the batteries? health indicator (HI) for quantifying degradation and predicting the RUL. However, t...
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Mirka Mobilia and Antonia Longobardi
Evapotranspiration is the major component of the water cycle, so a correct estimate of this variable is fundamental. The purpose of the present research is to assess the monthly scale accuracy of six meteorological data-based models in the prediction of ...
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Yanfen Kong, Caiyue Zhou, Chuanyong Zhang, Lin Sun and Chongbo Zhou
The group sparse representation (GSR) model combines local sparsity and nonlocal similarity in image processing, and achieves excellent results. However, the traditional GSR model and all subsequent improved GSR models convert the RGB space of the image ...
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Serhii Hrybkov,Olena Kharkianen,Volodymyr Ovcharuk,Iryna Ovcharuk
Pág. 62 - 73
An information technology has been proposed that aims to resolve the task of planning the fulfillment of orders for manufacturing products at food enterprises under conditions of uncertainty and risk. The information technology is based on combining the ...
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Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien...
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Seweryn Lipinski
DSC-MRI examination is one of the best methods of diagnosis for brain diseases. For this purpose, the so-called perfusion parameters are defined, of which the most used are CBF, CBV, and MTT. There are many approaches to determining these parameters, but...
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Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra...
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Peng Lyu, Jeongik Min and Juwhan Song
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br...
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Guoyan Xu, Yuwei Lu, Zixu Jing, Chunyan Wu and Qirui Zhang
The accuracy of dam deformation prediction is a key issue that needs to be addressed due to the many factors that influence dam deformation. In this paper, a dam deformation prediction model based on IEALL (IGWO-EEMD-ARIMA-LSTM-LSTM) is proposed for a si...
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Chong Yan, Yibing Xu, Ruizhe Cao and Ying Piao
The very large eddy simulation (VLES) method was investigated for supersonic reacting flows in the present work. The advantages and characteristics of the VLES model and the widely used improved delayed detached eddy simulation (IDDES) method were reveal...
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