Academic mental health is crucial for university students as it directly influences their academic performance, personal well-being, and future professional development. Factors such as academic stress, social isolati...
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Intelligent traffic management systems have emerged as a promising solution to address the increasing traffic congestion in Latin American cities, where rapid urban population growth and limited infrastructure capacit...
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In today's digital age, network security is paramount. This paper introduces a robust web application designed to swiftly identify network attacks and real-time anomalies, enabling users to protect their networks ...
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Studies on interpersonal conflict have a long history and contain many suggestions for conflict typology. We use this as the basis of a novel annotation scheme and release a new dataset of situations and conflict aspe...
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Among the emerging technologies, Mixed Reality (MR) has provided the means to interact with holograms. A very distant future is now near and accessible, which allows for the replacement of classic controllers for robo...
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Technological improvements have been exponential in the last two decades. The advancements in networking, fog computing, and artificial intelligence have allowed us to implement the "Internet of Things"start...
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In this paper, a generalized form of chaotic map based on nonlinear function with parabolic shape is introduced. The study involves the investigation of chaotic dynamics in terms of apparent in time-domain, and both q...
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We propose sublinear algorithms for probabilistic testing of the discrete and continuous Fréchet distance—a standard similarity measure for curves. We assume the algorithm is given access to the input curves via...
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The contribution main from this research is modularity and better processing time in detecting community by using K-1 coloring. Testing performed on transaction datasets remittance on P2P platforms where the Louvain C...
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Data curation is a field with origins in librarianship and archives, whose scholarship and thinking on data issues go back centuries, if not millennia. The field of machine learning is increasingly observing the impor...
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