In recent years, personalized paper grouping is a hot research topic in the field of intelligence education. In this paper, we propose an optimized deep knowledge tracking model Mul-MAKT combined with a genetic algori...
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This study demonstrates the utilization of Machine Learning (ML) for network slice prediction, enabling the optimization of resources for diverse network slices. Traditional methods for network slice prediction often ...
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With the development of technology, artificial intelligence is becoming gigantic and entering many areas. This development of artificial intelligence has also revealed beautiful studies by making contributions to the ...
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Diarrhea is one of the biggest diseases in the world that can cause death. Diarrhea can be caused by poor environmental sanitation or poor lifestyle habits. Prevention can be done early, such as education at the prima...
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Advancements in electrical engineering and signal processing can enable the development of automated sleep data analysis systems that embody significantly more advantages than their traditional manual counterparts. Re...
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Early detection of skin conditions is crucial, and some skin conditions can become more difficult to treat if left untreated. The gold standard Dermatoscope is a non-invasive technique used for the examination and eva...
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The accurate and early detection of retinal diseases is critical for effective treatment and prevention of vision loss. Optical coherence tomography (OCT) imaging has become an essential tool for non-invasive diagnosi...
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The rapid development of deep learning methods presents a potentially game-changing opportunity in the realm of education, particularly in the promotion of student involvement and the comprehension of the subject matt...
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Lexical translation consistency is one of the most common discourse phenomena in Chinese-to-English document-level translation. To better evaluate the performance of lexical translation consistency, previous researche...
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Label Distribution Learning (LDL), as a novel paradigm aimed at resolving label ambiguity, has attracted significant attention in recent years. To further improve the predictive accuracy of LDL, we propose a LDL Metho...
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