IoT has transformed healthcare by enabling remote patient monitoring, resource management, and personalized therapies. The integration of many networked devices has prompted data security and privacy concerns. This pa...
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As the number of web services proliferates, service discovery has emerged as a burgeoning area of research. Conventional service discovery methods hinge on index creation to enhance the efficiency of service identific...
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Traditional salient object detection (SOD) methods heavily rely on large-scale pixel-level datasets, making them both time-consuming and expensive. However, it is a significant challenge to effectively integrate long-...
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Business data fusion from various data sources in enterprises has been one of the hot issues in current research. While previous work has made great efforts to achieve data fusion, existing methods still suffer from t...
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This paper presents a high gain, compact size and dual band rectangular patch antenna for 5G applications. To enhance the gain of antenna, an equilateral triangle slots on the upper rectangular patch are constructed. ...
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If you are working on autonomous systems such as drones, robots, or self-driving cars that have to navigate through an unknown environment, you will at some point face the peculiar problem of path planning. In this st...
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Heart disease is one of the significant diseases that lead to health complications, and eventually mortality. The recognition and management of cardiac disease is intricate, particularly in developing countries, becau...
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Given the rising complexity in communication networks and data traffic, novel strategies are badly needed to handle the effective transmission of data, especially in a broadcasting scenario where reliability comes int...
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With the rapid development of the internet, technology, and social media platforms, an increasing number of people are choosing to express their opinions on their social media accounts. This paper aims to address publ...
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In the field of real-world image super-resolution(SR), collecting paired training data is extremely challenging. As a result, some SR methods are trained on synthetic datasets. But there remains a gap when applied to ...
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