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Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr

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發(fā)表于 2025-3-23 13:18:42 | 只看該作者
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發(fā)表于 2025-3-23 14:49:41 | 只看該作者
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發(fā)表于 2025-3-23 20:11:51 | 只看該作者
Clinical Examination of the Wrist and Handach to decision-making under conditions of uncertainty and incomplete information. Central to our methodology is the modeling of beliefs and uncertainties through belief mass functions, enabling the representation and aggregation of diverse information source. This approach is particularly advantage
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發(fā)表于 2025-3-23 23:12:32 | 只看該作者
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發(fā)表于 2025-3-24 03:48:12 | 只看該作者
Thomas Pillukat,J?rg van Schoonhovenng, resource management, and regulatory compliance to enhance patient care outcomes. In this paper, we delve into the multifaceted nature of healthcare management, highlighting the expertise required to optimize processes within dynamic healthcare environments. Furthermore, we explore the potential
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發(fā)表于 2025-3-24 06:44:14 | 只看該作者
https://doi.org/10.1007/978-3-662-59452-0ow a listwise deletion in the presence of missingness leading to information loss. To address missingness, numerous imputation methods (IMs) have been proposed. Nonetheless, the choice of method is of key importance both in relation to computational cost, especially for high dimensional data, as wel
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發(fā)表于 2025-3-24 11:26:37 | 只看該作者
https://doi.org/10.1057/9781137551634r to achieve this, a seamless exchange of health information across different frameworks is needed, promoting interoperability among health data formats, a key factor in the progression of digital health solutions. In this paper, we present our work in defining and implementing a mapping between the
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發(fā)表于 2025-3-24 15:55:48 | 只看該作者
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發(fā)表于 2025-3-24 21:54:06 | 只看該作者
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發(fā)表于 2025-3-25 01:07:02 | 只看該作者
https://doi.org/10.1007/978-3-031-63211-2Machine Learning; Anomaly Detection; Generative/Adversarial Neural Networks; Sentiment Analysis; Convolu
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