Companies globally compete to create products tailored to customer needs. This area of tension affects the design of production and logistics systems, which have therefore become increasingly flexible and changeable i...
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License plate recognition is the most important means of determining vehicle identity in intelligent transportation management applications, and its recognition speed is related to the operational efficiency of the en...
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Object detection and tracking systems have diverse real-world applications, including surveillance and security, autonomous vehicles, robotics, sports analysis, and medical imaging. These systems can detect and track ...
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This paper presents a novel method for decentralized storage in deep-learning-based face recognition systems using the Hierarchical Navigable Small World (HNSW) algorithm. The proposed solution utilizes Ethereum smart...
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The article presents the results of modeling the processing of a workpiece using the trochoidal and high-speed milling approach. A methodology aimed at optimizing the strategy of mechanical high-speed metalworking dur...
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This article is based on a 2.2 kVar small magnetically saturated controllable reactor (MSCR) prototype and builds a three-dimensional three-field coupling model of its electromagnetic structure acoustics in the finite...
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Multi-sink wireless sensor networks are widely used because of their prominent advantages in extending network life and balancing energy. However, the current research on cascading failures of wireless sensor networks...
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Group velocity superluminal phenomenon, also known as negative group delay or negative group velocity phenomenon, refers to a group of envelope signals at the output end of the medium before the input, on the time axi...
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The extraction of quantitative parameters (features) from medical images to build prediction models for computer-assisted clinical decision making (radiomics) has attracted a lot of research attention in recent years....
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The overwhelming burden on the healthcare system has resulted in increased mortality rates as individuals struggle to receive appropriate medical attention. Machine learning has demonstrated its efficacy across divers...
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