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Titlebook: Emerging Research in Data Engineering Systems and Computer Communications; Proceedings of CCODE P. Venkata Krishna,Mohammad S. Obaidat Conf

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樓主: 鳴叫大步走
51#
發(fā)表于 2025-3-30 08:30:10 | 只看該作者
Utilization of Blockchain Technology to Overthrow the Challenges in Healthcare Industry,t but not to copy in a single location. It created a new backbone of a new type of Internet. Today, blockchain is finding applications in every field like finance, healthcare, economics and legal, etc. Blockchain provides benefits such as reimbursement of healthcare services, exchange of health data
52#
發(fā)表于 2025-3-30 14:42:53 | 只看該作者
53#
發(fā)表于 2025-3-30 18:49:23 | 只看該作者
54#
發(fā)表于 2025-3-31 00:46:24 | 只看該作者
55#
發(fā)表于 2025-3-31 04:47:48 | 只看該作者
Neuer Staat mit alten Parteien?s, etc. This paper focused on the detection technique, for the selective forwarding attack, which occurs in the 6LoWPAN based RPL protocol. This attack will disrupt the routing path in IoT network by selectively forwarding the few packets and dropping remaining all the packets between the nodes in t
56#
發(fā)表于 2025-3-31 07:51:45 | 只看該作者
,M?glichkeiten zur Einsparung von Energie,then the requirement of the financial undertaking. This paper expects to evaluate the utilization of strategies for choice trees to aid the trepidation of bank extortion. The choice trees aid this work of choosing the characteristic that will build up a superior exhibition in determining the odds of
57#
發(fā)表于 2025-3-31 10:53:36 | 只看該作者
58#
發(fā)表于 2025-3-31 14:52:39 | 只看該作者
59#
發(fā)表于 2025-3-31 18:22:01 | 只看該作者
Neuere Bagger- und Erdgrabemaschinenel components in Apache Spark Framework that integrates relational processing through Apache Spark’s functional programming API. It allows Apache Spark programmers to use the benefits of relational processing. It also provides an integration of relational processing and procedural processing using a
60#
發(fā)表于 2025-3-31 21:50:14 | 只看該作者
https://doi.org/10.1007/978-3-663-13172-4 results with less computational power compared to other methods. An efficient regression-based algorithm is proposed to predict ASD with less computation time makes detection process faster. The proposed algorithm is applied over dataset collected from UCI machine-learning repository. Dataset consi
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