词源法 发表于 2025-3-21 18:16:21
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https://doi.org/10.1007/978-3-658-29488-5specificity of the machine learning algorithms. However, the included studies only considered retrospective data. This means that randomized clinical trials are required to translate machine learning implementations to clinical practice.Stagger 发表于 2025-3-22 12:47:38
https://doi.org/10.1007/978-3-658-43866-1ity of healthcare services. Moreover, these technologies introduced the terms smart health and smart hospital. The aim of this work in progress is to define smart hospital, explain its context and services, and distinguish it from other emerging approaches (agile, hybrid and green hospital) according to the literature review findings.宽容 发表于 2025-3-22 15:25:47
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Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater uation metric and uses the sliding window method to transform the problem into a supervised one. After several experiments, the results demonstrate that the LSTM-based model outperforms GRU-based models, achieving an RMSE of 347.9 kWh.骗子 发表于 2025-3-23 01:09:49
Fusing Temporal and Contextual Features for Enhanced Traffic Volume Predictiones the performance of a model that includes contextual factors against standalone LSTM. The results show superior predictive accuracy for the proposed hybrid model. SHapley Additive exPlanations (SHAP) analysis reveals the influence of diverse features, emphasizing the significance of contextual attributes in enhancing traffic prediction.innovation 发表于 2025-3-23 03:50:06
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Defining the “Smart Hospital”: A Literature Reviewity of healthcare services. Moreover, these technologies introduced the terms smart health and smart hospital. The aim of this work in progress is to define smart hospital, explain its context and services, and distinguish it from other emerging approaches (agile, hybrid and green hospital) according to the literature review findings.