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Titlebook: Lehrbuch der Physiologie für Studierende der Zahnheilkunde; Ernst Fischer,Emil Lehnartz Textbook 1934 Springer-Verlag Berlin Heidelberg 19

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21#
發(fā)表于 2025-3-25 05:09:33 | 只看該作者
22#
發(fā)表于 2025-3-25 09:28:38 | 只看該作者
Ernst Fischer,Emil Lehnartz new methods have been proposed, which possess the advantages of known methods but lack their disadvantages. The effectiveness of the known and proposed methods has been tested on a real example of texts from a monograph by one of the authors, which was published with the funding of a grant from the
23#
發(fā)表于 2025-3-25 13:15:40 | 只看該作者
24#
發(fā)表于 2025-3-25 17:39:51 | 只看該作者
Ernst Fischer,Emil Lehnartzuch as registration and access control in the exchange of genetic information have been carried out, primarily through entities that manage the eligibility of users with genomics information and grant access to specific data sets, demonstrating a lack of harmonization in access policies between the
25#
發(fā)表于 2025-3-26 00:03:46 | 只看該作者
Ernst Fischer,Emil Lehnartz parameters. Overall, the paper presents the qualitative key findings as well as the descriptive results of the quantitative study. The results show the usefulness of both methods to a) identify and understand thought processes of potential users regarding privacy requirements as well as b) to get i
26#
發(fā)表于 2025-3-26 02:51:54 | 只看該作者
27#
發(fā)表于 2025-3-26 04:28:57 | 只看該作者
Ernst Fischer,Emil Lehnartzdel that assesses degrees of recurrent depression by examining facial photos and voice to identify the chronicity of depressive symptoms in young Peruvians is thus one of the research’s problems. Our findings demonstrate that, based on the functions of the mobile application, adolescent patients wer
28#
發(fā)表于 2025-3-26 10:28:15 | 只看該作者
Ernst Fischer,Emil Lehnartzled sleep stages of 30?s each. Apart from handcrafted features we experimented with unsupervised feature learning based on the deep learning paradigm. Our best results for correctly classified sleep stages are between 86 and 90% for Wake, REM, N2 and N3, while the best recognition rate for N1 is 37%
29#
發(fā)表于 2025-3-26 15:12:07 | 只看該作者
Ernst Fischer,Emil Lehnartznic disease based on a Bayesian reasoning network. The added value of the proposed approach is that the system not only collects, processes and transmits vital measurements to the healthcare experts but also detects risks within the collected data. The system developed is discussed in detail as well
30#
發(fā)表于 2025-3-26 19:08:20 | 只看該作者
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