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Rachid Djeffal, Djemoui Lalmi, Sidi Mohammed El Amine Bekkouche, Tahar Bechouat and Zohir Younsi
Most thermal researchers have solved thermal conduction problems (inverse or direct) using several different methods. These include the usual discretization methods, conventional and special estimation methods, in addition to simple synchronous gradient ...
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Wei Li, Yanpeng Wei, Jiale Zhao, Weiye Han, Ding Li, Jianzhong Wang, Mengfei Zhao, Lin Chen, Limei Chen and Lina Zhou
This paper aims to find a fertilization method that better matches the growth characteristics of vegetables and reduces the soil and environmental problems caused by unreasonable fertilization methods, in view of the strong buffering of the clayey black ...
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Zehan Wang, Zhenggang Lu, Juyao Wei and Xiaojie Qiu
The virtual track train (VTT) is a new urban public transportation system that adopts all-axle steering and distributed drive. The Super autonomous Rail rapid Transit (SRT), as one of them, adopts a four-module six-axle structure. In response to its cruc...
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Emilio Jofré-Saldía, Álvaro Villalobos-Gorigoitía, Cristián Cofré-Bolados, Gerson Ferrari and Gemma María Gea-García
Objective: To evaluate the effect of a multicomponent progressive training program (MPTP) on functionality, quality of life (QoL) and motivation to exercise (EM) in a group of older adults (OA) of a community. Methods: A total of 55 participants of 69.42...
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Songsong Lu, Binchao Liu, Rong Yang, Qiuyi Wang and Rui Bao
Applying the machine learning (ML) technique in the modelling of crack growth (CG) behavior is a potential way to improve the efficiency and precision of CG assessment. However, research in this field at elevated temperatures is limited, although a lot o...
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José Victor Sá Santos and Napoleão Nepomuceno
The Cutting Stock Problem (CSP) is an optimisation problem that roughly consists of cutting large objects in order to produce small items. The computational effort for solving this problem is largely affected by the number of cutting patterns. In this ar...
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Zabidin Salleh, Ghaliah Alhamzi, Ibitsam Masmali and Ahmad Alhawarat
The conjugate gradient method is one of the most popular methods to solve large-scale unconstrained optimization problems since it does not require the second derivative, such as Newton?s method or approximations. Moreover, the conjugate gradient method ...
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Anna Hola and Lukasz Sadowski
The paper presents the results of the verification of the neural method for assessing the humidity of saline brick walls. The method was previously developed by the authors and can be useful for the nondestructive assessment of the humidity of walls in h...
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Johannes Hofmann,Christie L. Alappat,Georg Hager,Dietmar Fey,Gerhard Wellein
Pág. 54 - 78
We propose several improvements to the execution-cache-memory (ECM) model, an analytic performance model for predicting single- and multicore runtime of steady-state loops on server processors. The model is made more general by strictly differentiating b...
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Meibao Wang, Xiaolin Zhang, Wenyan Tang and Jun Wang
Measuring the mass and Center of Gravity (CG) of rigid bodies with a multi-point weighing method is widely used nowadays. Traditional methods usually include two parts with a certain location, i.e., a fixed platform and a mobile platform. In this paper, ...
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