Cattle face recognition is an emerging application of deep learning to improve animal management in agriculture. This technology enhances breeding, health monitoring, and livestock management by accurately identifying...
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Crowd counting is a computer vision task that involves using computer algorithms to analyze the number and distribution of crowds. With the world's population increasing, stampedes caused by too many people contin...
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A design scheme for an intelligent code reader system with compact structure, high cost-effectiveness, low power consumption, and strong stability is proposed to address the problems of limited variety, high cost, hig...
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Alzheimer's disease (AD) is a common chronic ailment that predominantly affects elderly people. AD is a neurological condition that causes a steady deterioration in cognitive function. There is no cure for AD;howe...
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Digital transformation necessitates the creation of business value or innovation using digital technology in every industry. Enterprises are facing an unprecedented business environment and competition for resources a...
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This study focuses on the application of artificial intelligence technology in the field of customer relationship management in the tourism industry and the problems encountered in this application. At the same time, ...
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Three-dimensional geometric modeling of parts includes wireframe modeling, surface modeling, and solid modeling, which are generally generated by CAD software. This paper proposes a new speech modeling technique, whic...
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Using AR technology for tourism products research and development and application, especially should pay attention to the feeling of tourists experience, with cultural creativity as the starting point and the foothold...
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In this article, the potential of low-terahertz (THz) technology is discussed to present high data rates in future biomedical systems, and also in the 6G mobile system. However, due to the loss, the design of high-gai...
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Medical image segmentation is a critical task in clinical diagnosis and treatment. However, the high cost of acquiring annotated data and the scarcity of labeled datasets have made semi-supervised learning methods a f...
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