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Titlebook: Advanced Computing, Networking and Security; International Confer P. Santhi Thilagam,Alwyn Roshan Pais,N. Balakrishn Conference proceedings

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31#
發(fā)表于 2025-3-26 21:30:30 | 只看該作者
32#
發(fā)表于 2025-3-27 04:04:47 | 只看該作者
https://doi.org/10.1007/978-3-663-08272-9of portable node has become a possibility, the applicative directions of USN environment are being studied, particularly in the field of industrial control system. But, with the application of USN environment into industrial environment, there occurred many problems such as efficient processing of s
33#
發(fā)表于 2025-3-27 05:52:55 | 只看該作者
34#
發(fā)表于 2025-3-27 09:33:40 | 只看該作者
https://doi.org/10.1007/978-3-642-24627-2ined composition plan involving different composition (flow or workflow) patterns, dynamically select the candidate Web services for each task of the composition plan. This research paper describes the mechanism . for QoS aware selection and composition of Web services to satisfy the requester’s end
35#
發(fā)表于 2025-3-27 16:58:22 | 只看該作者
Erkrankungen des Magen- Darm-Trakteseveral ill impacts like cost, space and time complex. The proposed framework uses a set of beliefs towards each web service, and the revision of those beliefs when there is any transition. The web services selected for composition were based on the level of belief with respect to the other web servi
36#
發(fā)表于 2025-3-27 21:39:41 | 只看該作者
Arzneimittel in der Selbstmedikationervice discovery process can be made more efficient by using the semantic specifications of the services. OWL-S provides standards to semantically specify the services, where service discovery can be done through capability matching. Considering the structural level matching of operations, where the
37#
發(fā)表于 2025-3-28 00:14:35 | 只看該作者
38#
發(fā)表于 2025-3-28 03:10:16 | 只看該作者
39#
發(fā)表于 2025-3-28 08:21:19 | 只看該作者
40#
發(fā)表于 2025-3-28 12:21:01 | 只看該作者
https://doi.org/10.1007/978-3-662-21663-7cessary features. Edge detection in color images is more challenging than edge detection in gray-level images. This paper proposes a method for edge detection of color images with automatic threshold detection. The proposed algorithm extracts the edge information of color images in RGB color space w
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