运动的我
发表于 2025-3-30 10:29:19
Julia Plugmann,Philipp Plugmannng the quality of clinical healthcare enormously. Such kind of intelligent decision making in healthcare and clinical practice is also expected to result in holistic treatment. In this chapter, we review and accumulate various existing DL techniques and their applications for decision support in cli
十字架
发表于 2025-3-30 13:57:56
Ben Barsties v. Latoszekng the quality of clinical healthcare enormously. Such kind of intelligent decision making in healthcare and clinical practice is also expected to result in holistic treatment. In this chapter, we review and accumulate various existing DL techniques and their applications for decision support in cli
Digitalis
发表于 2025-3-30 19:03:45
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保存
发表于 2025-3-30 20:45:16
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Felicitous
发表于 2025-3-31 04:24:55
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interior
发表于 2025-3-31 06:18:41
Krisztina Schmitz-Grosz,Falko Lindachern amongst the transaction establishments, and supply chain management is inculcating blockchain technology completely. The significant segment which is benefited with the adoption of Industry 4.0 moralities besides machineries is industrial or manufacturing business which will be generating smart in
弄皱
发表于 2025-3-31 11:25:04
Matthias Drossel,Carolien Korth solution is a digital twin relying on physics-based numerical models to reproduce the structural response in terms of the vibration recordings provided by the sensor devices during a specific events to be monitored. This work presents a comprehensive methodology to carry out the damage localization
无能的人
发表于 2025-3-31 13:45:12
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王得到
发表于 2025-3-31 20:46:24
Carsten Lexaere considered in the model. The time-dependent area under the receiver operating characteristic (ROC) curve (AUC) was used to assess the discriminating capability, and the time-dependent Brier score was used to assess prediction error.. In addition to existing risk factors including disease history
后退
发表于 2025-4-1 00:05:46
Detlef Bleise,Gerd Einighammermage with the sub-datasets. In this study, sub-dataset generation and matching methods are proposed to improve the performance of crack detection in brick walls using CNN. CNN training is conducted with each sub-dataset generated by the proposed sub-dataset generation method, while crack detection i