Limited reliability data during the development of cruise ship automation systems often leads to subjective weight allocation. This paper proposes an reliability allocation method based on the Bayesian best-worst meth...
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This paper addresses the challenges of low search efficiency and high complexity associated with standard genetic algorithms in illustration art design. We introduce a new model that integrates operator optimization a...
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Leveling is an indispensable process in steel plate production, and the quality of leveling directly affects the quality of steel plate production. The leveling quality has many links with the dynamic changes of steel...
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In the process of low-temperature plasma discharge in atmospheric-pressure humid air, which involves numerous species and a myriad of reactions, the system exhibits a highly nonlinear behavior, making it challenging t...
In this paper, Fog-based IoT-enabled Electrical vehicles connected with smart grid systems and propose a reference model that integrates fog computing concepts for electrical vehicles connected with smart grids. Due t...
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An important area of research in computer vision is feature extraction algorithms for image processing, which is the focal point of this paper's analysis. In the field of visual management, feature extraction and ...
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The evaluation and diagnosis of diseases related to blood cancer can be intricate and time-consuming. This complexity is compounded by the reliance on manual analyses employing techniques that consume a significant am...
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This paper delves into the critical technologies for cybersecurity situational awareness in big data environments and proposes a comprehensive framework that integrates feature extraction, assessment and prediction. F...
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Outdoor exercise can be an effective way to relieve menopausal symptoms in women. However, women going through menopause are more sensitive to changes in ambient temperature. The current heated garments are only able ...
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The integration of the Internet of Things (IoT) in sericulture, or silk farming, has the potential to significantly enhance the efficiency and output of silk production. Traditional methods, such as manual monitoring ...
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