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Titlebook: Spring Boot 2 Recipes; A Problem-Solution A Marten Deinum Book 20181st edition Marten Deinum 2018 Spring.Boot.Java.framework.micro.applicat

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21#
發(fā)表于 2025-3-25 05:32:09 | 只看該作者
Spring Security,ization of users for your application. Spring Security has a plugable mechanism for both the authentication and authorization process and by default, supports different mechanisms. For authentication, Spring Security out-of-the-box has support for JDBC, LDAP, and property files.
22#
發(fā)表于 2025-3-25 08:14:12 | 只看該作者
23#
發(fā)表于 2025-3-25 14:56:11 | 只看該作者
24#
發(fā)表于 2025-3-25 16:42:39 | 只看該作者
25#
發(fā)表于 2025-3-25 22:02:09 | 只看該作者
Marten Deinumution of the system by enabling the behaviour of resource allocation classes to be extended through reuse mechanisms, and how this facility of incremental evolution of systems can be extended to constraints by capturing the dynamic components of the system explicitly as a second level of constraints
26#
發(fā)表于 2025-3-26 03:32:16 | 只看該作者
27#
發(fā)表于 2025-3-26 06:05:06 | 只看該作者
Marten Deinumution of the system by enabling the behaviour of resource allocation classes to be extended through reuse mechanisms, and how this facility of incremental evolution of systems can be extended to constraints by capturing the dynamic components of the system explicitly as a second level of constraints
28#
發(fā)表于 2025-3-26 11:20:36 | 只看該作者
29#
發(fā)表于 2025-3-26 16:06:45 | 只看該作者
Geschichte der Herz- und Kreislaufpathologie, a lot of new approaches for person detection have become a very interesting topic. In this paper, two different approaches for person detection are tested and compared. As the first and standard approach, the YOLO architectures, which are very effective for image classification, are adapted to the
30#
發(fā)表于 2025-3-26 16:51:22 | 只看該作者
Trade in Agriculture and the Doha Round,tion images. The mapping is represented as a deep convolutional neural network (CNN) [15] that takes the low-resolution image as the input and outputs the high-resolution one. We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network. But unli
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