With the increasing demand for ocean exploration in the fields of technology and engineering, there is an urgent need to develop efficient and safe Human Occupied Vehicle (HOV) and Unmanned Underwater Vehicles (UUV) t...
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Compared with the traditional linearly polarized antenna, the circularly polarized antenna has a great practical application value, which can receive arbitrarily polarized linearly polarized waves or circularly polari...
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This study proposes an innovative approach to improve solar cooking systems by combining microcontroller technology and deep-learning techniques. The Solar-PV Microcontroller-based Cooker concept aims to provide a sus...
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Textual data is a fundamental element of human communication and information exchange, playing a pivotal role in a wide array of applications across various domains. However, the digital age has ushered in an era of u...
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In this paper, a novel Tensor-based MIMO precoder algorithm that significantly reduces computational complexity compared to the classical SVD precoder is proposing. This approach is based on the well-known tensor deco...
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Natural language processing (NLP) technology in foreign language translation systems is an important subject in computer science. However, due to the high complexity of NLP, the logical method of symbolic modeling is ...
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This article examines the complex realm of search engine optimization and its importance in the era of digitalization. With an emphasis on different facets of search engine optimization, including optimizing on-page e...
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With the increasing requirements for supply chain security, traceability and efficiency in the healthcare industry, existing centralized or decentralized management systems show obvious limitations in dynamic environm...
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This paper studies data organization, node coding and multi-view conversion in ship product data management, and proposes a product data organization structure compatible with system design and partition construction,...
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Itaddresses the challenges that are associated with dynamic power management in embedded systems by utilizing techniques that are derived from the discipline of reinforcement learning (RL). Given the increasing comple...
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