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Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
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Jiahao Chen, Jiaxin Li, Deqian Zheng, Qianru Zheng, Jiayi Zhang, Meimei Wu and Chaosai Liu
The multi-field coupling of grain piles in grain silos is a focal point of research in the field of grain storage. The porosity of grain piles is a critical parameter that affects the heat and moisture transfer in grain piles. To investigate the distribu...
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Jiancong Xu, Chen Sun and Guorong Rui
How to evaluate the reliability of deep soft rock tunnels under high stress is a very important problem to be solved. In this paper, we proposed a practical stochastic reliability method based on the third-generation non-dominated sorting genetic algorit...
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Jianwei Shang, Guojun Ma, Fangxin Wan, Zepeng Zang, Yanrui Xu, Qian Zhang, Tongxun Wang and Xiaopeng Huang
To enhance the quality of Moutan Cortex for medicinal purposes, this study was conducted to analyze the impact of rotary microwave vacuum drying on its drying characteristics and overall quality. Experimental variables including drying temperature, rotor...
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Yunfei Gao, Guogui Huang, Yinxi Li, Junyuan Zhang, Zeng Yang and Meng Wang
Homogenization methods can characterize the mechanical properties of these materials based on appropriate constitutive models and data. They are also applied to the characterization of mechanical parameters under complex geotechnical conditions in geotec...
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Lingfeng Zhong, Rui Liu, Xiaodong Miao, Yufeng Chen, Songhong Li and Haocheng Ji
Compressors are important components in various power systems in the field of energy and power. In practical applications, compressors often operate under non-design conditions. Therefore, accurate calculation on performance under various operating condi...
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Binzhen Zhou, Jiahao Wang, Kanglixi Ding, Lei Wang and Yingyi Liu
Predicting extreme waves can foresee the hydrodynamic environment of marine engineering, critical for avoiding disaster risks. Till now, there are barely any available models that can rapidly and accurately predict the occurrence probability of freak wav...
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Runze Zhang, Yujie Zhu, Zhongshen Liu, Guohong Feng, Pengfei Diao, Hongen Wang, Shenghong Fu, Shuo Lv and Chen Zhang
(1) Background: Traditional kinetic-based shelf-life prediction models have low fitting accuracy and inaccurate prediction results for blueberries. Therefore, this study aimed to develop a blueberry shelf-life prediction method based on a back propagatio...
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Runjuan Zhou, Kuo Zhang and Ming Zhang
A back-propagation neural network (BPNN) was used to model and optimize the process of hydroxylamine (HA)-enhanced Fe2+ activating peroxymonosulfate (PMS). Using HA-enhanced Fe2+ to activate PMS is a cost-effective method to degrade orange II (AO7). We i...
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Zichao Wei, Xiangbei Wan, Wenye Lei, Kaikai Yuan, Miao Lu, Bin Li, Pan Gao, Huarui Wu and Jin Hu
Photosynthetic rate prediction models can provide guidance for crop photosynthetic process optimization, which has been widely used in the precise regulation of the protected environment. The photosynthetic capacity of crops continuously changes during t...
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