Titlebook: Advanced Data Mining and Applications; 18th International C Weitong Chen,Lina Yao,Xue Li Conference proceedings 2022 The Editor(s) (if appl

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Fabian Neubauer,Albert E. Frieder Dr.Short Term Memory (LSTM). The results show that transformer-based pre-processing and fine-tuning yield better performance results. The DistilBERT model yields the highest accuracy of 91.46% compared to the CNN and LSTM models.

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,Persönlichkeit aus betrieblicher Sicht, of financing in addition to popular forms of financing, such as term loans, and expedited the entire lending process. High-tech online platforms have provided better user experiences and attracted more consumers and SMBs (small and medium-sized businesses). Partnerships and collaborations have also

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,Persönlichkeit aus betrieblicher Sicht, that voice changes in Parkinson’s patients are among the symptoms that appear early. In this research paper, we propose a speech processing based approach for early Parkinson disease detection. Our approach evaluate the use of a deep convolutional autoencoder to extract the deep features from raw s

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https://doi.org/10.1007/978-3-8350-9659-2hips and only consider the prevalence of patterns. However, pollution sources and cancer cases do not satisfy the clique relationship, and users focus on the influence of pollution sources on cancer cases. Therefore, we propose high-influence ordered-pair patterns to study their relationships. First