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Yalin Dai, Zhouwei Fan, Jian Xu, You He and Xiongqing Yu
A special feature of airbreathing hypersonic aircraft is the complex coupling between aerodynamic and propulsive performances. This study presents a rapid analysis methodology for the integration of these two critical aspects in the conceptual design of ...
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Hassan Aleisa, Konstantinos Kontis and Melike Nikbay
Developing wind tunnel models is time consuming, labor intensive, and expensive. Rapid prototyping for wind tunnel tests is an effective, faster, and cheaper method to obtain aerodynamic performance results while considerably reducing acquisition time an...
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Mingfei Wang, Xiangshu Kong, Feifei Shan, Wengang Zheng, Pengfei Ren, Jiaoling Wang, Chunling Chen, Xin Zhang and Chunjiang Zhao
Temperature has a significant impact on the production of edible mushrooms. The industrial production of edible mushrooms is committed to accurately maintaining the temperature inside the mushroom room within a certain range to achieve quality and effici...
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Shunyu Yao, Guangyuan Kan, Changjun Liu, Jinbo Tang, Deqiang Cheng, Jian Guo and Hu Jiang
In recent years, mountainous areas in China have faced frequent geological hazards, including landslides, debris flows, and collapses. Effective simulation of these events requires a solver for shallow water equations (SWEs). Traditional numerical method...
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Yuan Wang, Xiaodan Shi and Takashi Oguchi
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, ...
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Ali Mirzazade, Cosmin Popescu and Björn Täljsten
The aim of this study was to find strains in embedded reinforcement by monitoring surface deformations. Compared with analytical methods, application of the machine learning regression technique imparts a noteworthy reduction in modeling complexity cause...
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Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
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José Pinto, João R. C. Ramos, Rafael S. Costa and Rui Oliveira
In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large numbe...
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Cheng Chen, Xiangrui Zhang, Guo Wang, Feng Feng, Cong Sun and Qin He
The inherent complexity of large ships makes it challenging to evaluate ship designs systematically and scientifically. Knowledge-based expert systems can be reasonable solutions. However, this problem needs more rationality and better operability, espec...
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Jones Luís Schaefer, Paulo Roberto Tardio, Ismael Cristofer Baierle and Elpidio Oscar Benitez Nara
The adoption of models based on key performance indicators to diagnose and evaluate the competitiveness of companies has been presented as a trend in the operations? management. These models are structured with different variables in complex interrelatio...
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