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Titlebook: Materials for Chemical Sensing; Thiago Regis Longo Cesar Paix?o,Subrayal Medapati Book 2017 Springer International Publishing AG 2017 Bio

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發(fā)表于 2025-3-25 06:00:13 | 只看該作者
22#
發(fā)表于 2025-3-25 11:14:15 | 只看該作者
William Reis de Araujo,Subrayal Medapati Reddy,Thiago Regis Longo Cesar Paix?oulnerability to malicious attacks. Recently, many researchers and security analysts are focusing on the blockchain technology to solve the security and privacy issues of the IoT data management. However, current blockchain technologies are unable to meet the highly concurrent IoT data transactions a
23#
發(fā)表于 2025-3-25 13:16:35 | 只看該作者
24#
發(fā)表于 2025-3-25 19:53:49 | 只看該作者
Nipapan Ruecha,Kentaro Yamada,Koji Suzuki,Daniel Citterioulnerability to malicious attacks. Recently, many researchers and security analysts are focusing on the blockchain technology to solve the security and privacy issues of the IoT data management. However, current blockchain technologies are unable to meet the highly concurrent IoT data transactions a
25#
發(fā)表于 2025-3-25 23:20:54 | 只看該作者
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發(fā)表于 2025-3-26 04:11:45 | 只看該作者
27#
發(fā)表于 2025-3-26 05:57:18 | 只看該作者
Roger Jagdish Narayan,Nishant Verma web protocols such as the Constrained Application Protocol?(CoAP). These web protocols are typically defined and described in the Request for Comments?(RFC) documents, which are written in natural or semi-formal languages. Since developers largely follow the RFCs when implementing web protocols, th
28#
發(fā)表于 2025-3-26 09:46:14 | 只看該作者
Celina Massumi Miyazaki,Anerise de Barros,Daniela Branco Tavares Mascagni,Juliana Santos Gra?a,PaulaMeantime deep learning can provide more accurate traffic anomaly detection and has become an important class of methods for LEO satellite network security. However, deep learning is susceptible to adversarial sample attacks, and the LEO satellite network system has not been investigated to find a fr
29#
發(fā)表于 2025-3-26 15:58:48 | 只看該作者
30#
發(fā)表于 2025-3-26 19:08:52 | 只看該作者
Manel del Valleng in various novel data mining applications. Since trajectories may contain sensitive information about their moving objects, so they ought to be anonymized before making them accessible to the public. Many existing approaches for trajectory anonymization consider the same privacy level for all mov
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