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Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov Conference

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樓主: NERVE
31#
發(fā)表于 2025-3-26 23:08:16 | 只看該作者
32#
發(fā)表于 2025-3-27 04:28:11 | 只看該作者
33#
發(fā)表于 2025-3-27 08:37:13 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmanfailure correction. The dental implant is complex and non-trivial since multiple variables are involved. Therefore, the integration between dentistry and IT has allowed the creation of expert systems that assist the dentist during the planning and execution stages of the dental implant process. Thus
34#
發(fā)表于 2025-3-27 10:47:56 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmancer, cardiovascular diseases, and tissue engineering. The SGABU platform is a robust information system capable of data integration, information extraction, and knowledge exchange, with the goal of designing and developing suitable computing pipelines to give accurate and adequate biological informa
35#
發(fā)表于 2025-3-27 14:51:12 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmanm examining the importance of clinical and genetic data points in risk stratification of patients with hypertrophic cardiomyopathy. The significance of features was gathered in consultations with cardiologists as well as from the evaluation of created classification models built for the purposes of
36#
發(fā)表于 2025-3-27 20:54:39 | 只看該作者
37#
發(fā)表于 2025-3-27 22:44:47 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmanch as a debilitating stroke and even death. This is the reason why early detection is a number one priority. This disease occurs as a result of plaque deposition within the coronary vessel. The process of manually annotating plaque components is both resource and time consuming, therefore, an automa
38#
發(fā)表于 2025-3-28 05:24:39 | 只看該作者
Paul I. Schneiderman,Marc E. Grossman There are many available open-source frameworks with different working principles and performances. From the point of view of an average user, selecting and using the right framework might not be a trivial task. We elaborate on this issue and propose our solution for it. We present an idea of AutoM
39#
發(fā)表于 2025-3-28 07:50:41 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmanng the right balance between model complexity and training data volume. Three convolutional neural networks - LeNet-5, AlexNet, and VGG-16 - are also included in the models that are being presented, along with two custom architectures. The first architecture has a very simple design, while the secon
40#
發(fā)表于 2025-3-28 11:56:56 | 只看該作者
Paul I. Schneiderman,Marc E. Grossmanhe results of bibliometric analysis on 1758 documents for public administration and 2163 documents for the private sector from the Scopus database published until 2022 reveal the growth of the research after 2000, whereby the growth was much faster in public administration than in the business secto
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