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Titlebook: Modelling in Life Insurance – A Management Perspective; Jean-Paul Laurent,Ragnar Norberg,Frédéric Planchet Book 2016 The Editor(s) (if app

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樓主: tornado
21#
發(fā)表于 2025-3-25 07:17:24 | 只看該作者
22#
發(fā)表于 2025-3-25 08:17:14 | 只看該作者
Kreativit?tstechniken, und Marketingstrategien usw. überzeugen. Sie ben?tigen daher f?hige Mitarbeiter, die alleine und in Projektgruppen kreative Ideen entwickeln, um neue M?rkte zu erschlie?en und mit vielf?ltigen, v?llig neuen Problemen fertig zu werden. Hierbei k?nnen Kreativit?tstechniken helfen, da sie Einzelperso
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發(fā)表于 2025-3-25 14:17:16 | 只看該作者
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發(fā)表于 2025-3-25 19:14:09 | 只看該作者
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發(fā)表于 2025-3-25 22:07:58 | 只看該作者
26#
發(fā)表于 2025-3-26 01:31:02 | 只看該作者
Conclusions,s the globe. Hospitals concentrate combinations of qualified staff and specific investments in order to take care (especially at diagnosis and treatment level) of the more severe groups of patients. They are a core element of each country’s response to health needs, involving many stakeholders. They
27#
發(fā)表于 2025-3-26 04:23:56 | 只看該作者
Non-anglophone Ethnoarchaeologies of sound and well accepted replication methodologies, we tried to remake the original simulation and highlight the roadblocks encountered during the process. Some suggestions are made in order to avoid such obstacles. New results showed a relational equivalence.
28#
發(fā)表于 2025-3-26 08:52:58 | 只看該作者
29#
發(fā)表于 2025-3-26 16:18:18 | 只看該作者
SVD-Based Watermarking Scheme for?Medical Image Authenticationed scheme achieved 73.36 dB PSNR and SSIM is near about 0.99 with 64,980 bit embedding capacity. Compared to the traditional methods, proposed method effectively increases the accuracy of tamper localization as well as PSNR value of the self-recovered image are both significantly increased.
30#
發(fā)表于 2025-3-26 17:23:19 | 只看該作者
Alessandro Chiaramonte,Vincenzo Emanuele generalization of our model predictions, we have used various image augmentation techniques to improve our dataset and trained the model to predict infected plants accurately. For more accurate disease prediction, we have also used different edge detection techniques on the input images like Laplac
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