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Titlebook: Web and Big Data; 4th International Jo Xin Wang,Rui Zhang,Yang-Sae Moon Conference proceedings 2020 Springer Nature Switzerland AG 2020 art

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31#
發(fā)表于 2025-3-26 21:51:18 | 只看該作者
Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational AutoencodersIs is proposed, which is composed of a neural network classifier and a .ariational .uto.ncoders (VAE). Classifier is the core components, VAE plays a role of calibration. In the end, the predicted label is a multi-hot vector which indicates specific DDI types between drug pairs. Finally, the experim
32#
發(fā)表于 2025-3-27 03:11:31 | 只看該作者
Smarter Smart Contracts: Efficient Consent Management in Health Data Sharingignificantly. This allows the framework to operate at scale and is more feasible for widespread adoption. Additionally, we introduce a novel contract that supports searching for patients in the framework that match certain criteria. This feature would be useful to medical researchers looking to obta
33#
發(fā)表于 2025-3-27 05:21:04 | 只看該作者
Joint Learning-Based Anomaly Detection on KPI Datas for similarity-based model to timely improve the prior knowledge. Experiments on 13 public KPI datasets empirically confirm the superiority of our algorithm with a F1-Score improvement up?to 20.5% on average.
34#
發(fā)表于 2025-3-27 11:29:01 | 只看該作者
35#
發(fā)表于 2025-3-27 14:53:21 | 只看該作者
36#
發(fā)表于 2025-3-27 20:24:40 | 只看該作者
37#
發(fā)表于 2025-3-27 22:44:14 | 只看該作者
with the diverse empirical cases reported later in this chapter, we use the term ‘post-suburbia’ to capture a profusion of terminology relating to a nascent urban form and over which there is only partial consensus.
38#
發(fā)表于 2025-3-28 03:53:20 | 只看該作者
39#
發(fā)表于 2025-3-28 09:15:59 | 只看該作者
40#
發(fā)表于 2025-3-28 12:36:42 | 只看該作者
Zijue Li,Xiaoou Ding,Hongzhi Wangng element of Mediterranean architecture. The analysis focuses on the relationship between computational design, digital fabrication, and clay in the creation of informed technological systems in order to demonstrate how it is possible to reinterpret ancient knowledge through innovative technologies.
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