Traditional rescue efforts encounter difficulties in challenging terrain, hindered by obstacles and natural calamities. Unmanned Aerial Vehicles (UAVs) integrated with Vehicular Ad Hoc Networks (VANETs) present a viab...
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Machine Learning (ML) has significantly impacted daily life by automating tasks and enhancing decision-making across diverse sectors such as healthcare, finance, and transportation. However, concerns regarding data pr...
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Irregularly Sampled Medical Time Series (ISMTS) are commonly found in the healthcare domain, where different variables exhibit unique temporal patterns while interrelated. However, many existing methods fail to effici...
Cardiovascular diseases, such as heart attacks, are a significant global health concern, responsible for a great deal of annual mortality. The introduction of wearable edge devices with advanced sensors has enabled co...
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To train sentiment classifiers, a collective multi-Trends sentiment classification approach is proposed for numerous tweets simultaneously. This technique uses sentiment facts from exceptional tweets to train accurate...
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This research study proposes an innovative methodology for the automated estimation of biological profiles through deep learning techniques, with a particular focus on the classification of age and gender derived from...
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With the global population aging, the need to ensure the health and safety of elderly individuals living alone has become a pressing societal issue. This paper introduces an activity sensing system utilizing millimete...
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In many software projects, especially large and complex ones, there often exists a significant gap in documentation. This can lead to a lack of understanding among developers, especially when they encounter unfamiliar...
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Recent years have seen a surge in interest in underwater object detection, driven by increased participation in marine research, environmental monitoring, and underwater robotics. This paper offers a systematic review...
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With the development of science and technology, all kinds of data are generated in our daily life. While data analysis brings convenience, it also poses threat to users' privacy. This paper proposes a data securit...
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