Accurate and timely segmentation of kidney tumors from medical images is crucial for effective treatment and prognosis. This research study proposes a novel hybrid deep learning framework incorporating Convolutional N...
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The proliferation of Internet of Things (IoT) devices has introduced significant security challenges due to the increased attack surface and the inherent vulnerabilities of interconnected systems. This paper proposes ...
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Data breaches, identity theft, and the lack of user control within traditional digital identity management systems, it begs a more secure and decentralized alternative. In this study we propose a blockchain based digi...
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Many are wary of storing and processing data in the cloud because of the prevalence of hostile assaults on mobile and wireless communication networks, which raises serious privacy and security concerns. Using Blockcha...
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In the process of modeling and solving large-scale complex systems, issues with complex state structures and low computational efficiency are often *** partially observable discrete event systems, this paper proposes ...
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Traffic signs secure their safety on the roads and the protection of others around them;everyone must be aware of traffic signs and other aspects of road safety. Traffic sign detection is a highly relevant computer vi...
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This abstract describes the project funded by the IEEE SMCS on Transforming Educational Assets and Materials (TEAM) in systems, Man, and Cybernetics. The project develops an open course on Cyber Physical systems (CPS)...
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The implementation of Natural Language Processing (NLP) in chatbots has significantly enhanced the efficiency and user experience of academic information systems. This paper presents a case study of the international ...
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The data collected in industrial production processes often exhibit highly nonlinear, non-normal, and heteroscedastic characteristics. These traits result in the limited effectiveness of traditional industrial process...
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Traditional recommendation methods often struggle to capture the evolving nature of user interactions and the rich contextual information available in external data sources. This paper presents an innovative approach ...
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