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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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楼主: DIGN
发表于 2025-3-30 10:08:52 | 显示全部楼层
Conference proceedings 2012ized in topical sections on distributed computing, image processing, pattern recognition, applied algorithms, wireless networking, sensor networks, network infrastructure, cryptography, Web security, and application security.
发表于 2025-3-30 15:27:11 | 显示全部楼层
,Kapitalerhaltung und Ausschüttungsverbot,to improve the speed of accessing the data. However due to inefficient access mechanisms of the Hadoop, the access latency is too high that it reduces the throughput of the system. An efficient pre-fetching technique in Hadoop improves the overall performance of the cloud system.
发表于 2025-3-30 19:33:09 | 显示全部楼层
,Ausgestaltungsformen für Beratungshonorare,b services in the form of interceptors between consumers and providers. Interceptors in the case of HTTP protocol take the form of proxy servers. The concept has been materialized in a prototype implementation.
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发表于 2025-3-31 03:34:30 | 显示全部楼层
https://doi.org/10.1007/978-3-642-24627-2-customer costs i.e. nothing needs to be changed at the customer side. Also, as we use the image of lower part of the body, there should be potentially no privacy related issues, unlike face recognition.
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Untersuchung eines Patienten in der Praxisage classifier is used. A review of different pedestrian detection system is done in the paper. Classifiers are arranged based on HAAR-like and HOG features in a coarse to fine manner. Adaboost gives better performance.
发表于 2025-3-31 20:44:19 | 显示全部楼层
,Kapitalerhaltung und Ausschüttungsverbot,model. The experimental results demonstrates that proposed framework maximizes the resource utilization and profit gain of the cloud service provider when evaluated against widely used static configuration strategy.
发表于 2025-4-1 00:27:37 | 显示全部楼层
https://doi.org/10.1007/978-3-662-21663-7ta is used for estimating the threshold value. The method is applied for large number of images and the result shows that the algorithm produces effective results when compared to some of the existing edge detection methods.
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