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Guanghao Liu, Meifa Huang and Wenbo Su
At present, the automatic generation of tolerance types based on rule-based reasoning has an obvious characteristic: for the same assembly feature, tolerance items are recommended that satisfy all feature characteristics, with a large number of recommend...
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Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ...
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Katarzyna Leszczynska-Sejda, Andrzej Chmielarz, Dorota Kopyto, Michal Ochmanski, Grzegorz Benke, Arkadiusz Palmowski, Agnieszka Sobianowska-Turek, Przemyslaw Los, Agnieszka Fornalczyk, Michal Zygmunt and Karolina Goc
This paper presents comparative experimental results for the single-stage and two-stage counter-current acid leaching of battery masses, with the addition of a booster, from different types of LIB waste. Three different types of battery masses were used ...
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Yubing Yuan, Yicai Ji, Shengbo Ye, Xiaojun Liu and Guangyou Fang
Life detection is important in earthquake rescue, but weak vital signal is susceptible to interference by clutters. Due to the undesirable characteristics of the hardware, there are two main types of clutter generated by the frequency modulation continuo...
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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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