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Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle and Roman Sueur
Finding outliers in functional infinite-dimensional vector spaces is widely present in the industry for data that may originate from physical measurements or numerical simulations. An automatic and unsupervised process of outlier identification can help ...
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Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
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Xudong Guan, Gaohuan Liu, Chong Huang, Xuelian Meng, Qingsheng Liu, Chunsheng Wu, Xarapat Ablat, Zhuoran Chen and Qiang Wang
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Dimitris Fotakis, Panagiotis Patsilinakos, Eleni Psaroudaki and Michalis Xefteris
In this work, we consider the problem of shape-based time-series clustering with the widely used Dynamic Time Warping (DTW) distance. We present a novel two-stage framework based on Sparse Gaussian Modeling. In the first stage, we apply Sparse Gaussian P...
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Benlei Zhang, Fei Yang, Fuguo Wang and Baowei Lu
Active optics and aberration correction techniques for sparse aperture segmented mirrors are studied. A finite element model of the sparse aperture segmented mirror was established, and a multi-aperture aberration polynomial was derived. According to the...
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Chen Wang, Si-jia Zhao, Zong-qiang Ren and Qi Long
Classifying a time series is a fundamental task in temporal analysis. This provides valuable insights into the temporal characteristics of data. Although it has been applied to traffic flow and individual-centered accessibility analysis, it has yet to be...
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Fuat Kosanoglu
The predictability of wind energy is crucial due to the uncertain and intermittent features of wind energy. This study proposes wind speed forecasting models, which employ time series clustering approaches and deep learning methods. The deep learning (LS...
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Markus Beck and Gerhard Fischerauer
The model proposed in this article lays the foundation for cost-efficient in-process measurement of warp in corrugated cardboard manufacturing and, subsequently, improved process control to reduce waste.
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Taoying Li, Xu Wu and Junhe Zhang
An increasing number of automobiles have led to a serious shortage of parking spaces and a serious imbalance of parking supply and demand. The best way to solve these problems is to achieve the reasonable planning and classify management of car parks, gu...
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Xudong Liu, Yongzhong Tian, Xueqian Zhang and Zuyi Wan
Overall scientific planning of urbanization layout is an important component of the new period of land spatial planning policies. Defining the main functions of different spaces and dividing urban functional areas are of great significance for optimizing...
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Xiaofei Zhao, Caiyi Hu, Zhao Liu and Yangyang Meng
Many kinds of spatial?temporal data collected by transportation systems, such as user order systems or automated fare-collection (AFC) systems, can be discretized and converted into time-series data. With the technique of time-series data mining, certain...
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Chiu-Ching Tuan, Chi-Heng Lu, Yi-Chao Wu, Mei-Chuan Chen, Sung-Wei Chi, Tsair-Fwu Lee and Wen-Ling Yeh
In this paper, we introduce a simple sound signal diagnostic method to evaluate anterior cruciate ligament (ACL) injury before and after reconstructive surgery. Sixty-five recruited participants were divided into control (n = 27) and experimental (n = 38...
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Mohammed Salah Al-Radhi, Tamás Gábor Csapó and Géza Németh
The work discussed herein provides a reference for selecting appropriate techniques to optimize and improve the performance of current fundamental frequency estimation methods-based text-to-speech.
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Ramón Irles Más, Juan Carlos Pomares Torres, José Ramón Atienza Reales
Pág. 507 - 517
AbstractIn the study of prismatic bars subjected to bending forces, the authors of Strength of Materials generally assume the Navier-Bernoulli simplifying hypothesis which states that flat cross sections (CS) normal to their axes before deformation remai...
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Nuno Ferreira, João Gama
Cada vez mais, as empresas e organizações utilizam bases de dados multidimensionais e ferramentas OLAP como forma de organizar informação proveniente de sistemas transacionais com o objetivo de aceder e analisar dados com elevada flexibilidade e desempen...
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Mengchuang Zhang, Shasha Xia, Yongsheng Huang, Jiawei Tian and Zhiping Yin
Flight maneuver recognition (FMR) is a critical tool for capturing essential information about the state of an aircraft, which is necessary to improve pilot training, flight safety, and autonomous air combat. However, due to the alignment of multidimensi...
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Suleyman Al-Showarah,Wael Alzyadat,Aysh Alhroob,Hisham Al-Assam
Pág. pp. 126 - 136
Abstract - This research presents a methodology for user identification using ten English words written by a finger on smartphone and mini-tablet. This research considers three features, namely Signature Precision (SP), Finger Pressure (FP), and Movement...
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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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Rafal Piotrowski and Andrzej Szychowski
Lateral torsional buckling of beams is a very important issue in the design of steel structures. Currently, this phenomenon is accounted for in a simplified way, namely by determining the critical moment of lateral torsional buckling for the theoretical ...
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Arturo Silva-Campillo and Francisco Pérez-Arribas
The aim of this paper is to estimate the influence of the dimensions of the torsion box (height and width), of a 2400 TEU feeder-class container ship, on local stress distribution and assessment of local fatigue strength by using a numerical approach bas...
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