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Titlebook: Ambient Communications and Computer Systems; Proceedings of RACCC Yu-Chen Hu,Shailesh Tiwari,K. K. Mishra Conference proceedings 2022 The E

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21#
發(fā)表于 2025-3-25 04:16:39 | 只看該作者
22#
發(fā)表于 2025-3-25 10:40:45 | 只看該作者
23#
發(fā)表于 2025-3-25 13:26:40 | 只看該作者
,A Framework for?Component Mapping Between Event-B and?Python,y useful for industrial automation. Event-B has the extended tool support RODIN to verify the model and generate proof obligations. This paper proposes the translation framework of Event-B to Python code. The translation rules are presented that will map each component of an Event-B model into Python class.
24#
發(fā)表于 2025-3-25 19:31:43 | 只看該作者
25#
發(fā)表于 2025-3-25 22:17:08 | 只看該作者
Conference proceedings 2022Computational Sciences (RACCCS 2021), held at Aryabhatta College of Engineering and Research Center, Ajmer, India, on August 20–21, 2021. Presenting the latest developments and technical solutions in computational sciences, it covers a variety of topics, such as intelligent hardware and software des
26#
發(fā)表于 2025-3-26 02:48:07 | 只看該作者
https://doi.org/10.1007/3-7985-1585-9ocess. As these advanced concepts were applied on MR images to carry out Glioma grading task, it not only make the procedure fast but also helps in precise grading. These approaches in contrast to biopsy can be performed repeatedly. This paper presents an overview of potential of transfer learning approaches in Glioma grading process.
27#
發(fā)表于 2025-3-26 08:21:45 | 只看該作者
https://doi.org/10.1007/978-3-7091-8019-8image and face beautification application is created. Different tools and filters are created to make the input image more natural and dramatic. This application is fully in the choice of human. Every tool can be adjusted by the slider option. Finally, a user can easily beautify their image without any prior knowledge of the application.
28#
發(fā)表于 2025-3-26 09:01:42 | 只看該作者
Role of Transfer Learning in Glioma Grading,ocess. As these advanced concepts were applied on MR images to carry out Glioma grading task, it not only make the procedure fast but also helps in precise grading. These approaches in contrast to biopsy can be performed repeatedly. This paper presents an overview of potential of transfer learning approaches in Glioma grading process.
29#
發(fā)表于 2025-3-26 12:56:59 | 只看該作者
An Application for Facial Image Beautification,image and face beautification application is created. Different tools and filters are created to make the input image more natural and dramatic. This application is fully in the choice of human. Every tool can be adjusted by the slider option. Finally, a user can easily beautify their image without any prior knowledge of the application.
30#
發(fā)表于 2025-3-26 18:36:00 | 只看該作者
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