Titlebook: Developments and Advances in Defense and Security; Proceedings of MICRA álvaro Rocha,Robson Pacheco Pereira Conference proceedings 2020 Spr

浮雕寶石

G. Frerichs,G. Arends,H. Z?rnige been able to classify the Deep Learning algorithms selected in each solution, which yielded that the most commonly used are the deep neural network (DNN) and convolutional neural network (CNN), among other fundamental data.

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https://doi.org/10.1007/978-3-662-36330-0ions using different hostility and weapon range distributions. The results demonstrated that the proposed model is able to significantly improve the number of UAVs that are able to complete the mission without being hit by any threat. In addition, the proposed approach for calculating the goal posit

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G. Frerichs,G. Arends,H. Z?rnigsults allowed to demonstrate certain behavior of air pollutants around the city, such as the increased air pollution levels during daylight hours. Similarly, we discovered that the presence of particulate material PM10 and PM2.5 is directly related to the increase of the Air Quality Index for the ci

兩棲動(dòng)物

Single Sign-on Implementation: Leveraging Browser Storage for Handling Tabbed Browsing Sign-outsuser may not sign out from some services that he or she was using. This situation may lead to information security attacks. Also, we propose a solution that can be implemented on the browser to ensure a safe sign-out process.

可忽略

Cybernetic Dependency Capacityany country, within the scope of a cyberwar, is very influenced by the dependence of this country of their information society. As a major development of the IT society in one country will not make it theoretically victorious in a cyberwarfare with a country less IT developed. This fact, which is ap

異端

Portuguese Concerns and Experience of Specific Cybercrimes: A Benchmarking with European Citizensat the Portuguese’s concerns about cybercrime are in line with the average of the European citizens, although the percentage of Portuguese experienced these attacks is, for now, below average. Based on these results, it is possible to identify some public policies that aim to mitigate this phenomeno

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Classification of Phishing Attack Solutions by Employing Deep Learning Techniques: A Systematic Litee been able to classify the Deep Learning algorithms selected in each solution, which yielded that the most commonly used are the deep neural network (DNN) and convolutional neural network (CNN), among other fundamental data.

Hemoptysis

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Evaluating Trail Formation in Collaborative UAV Networks with Lethal Threatsions using different hostility and weapon range distributions. The results demonstrated that the proposed model is able to significantly improve the number of UAVs that are able to complete the mission without being hit by any threat. In addition, the proposed approach for calculating the goal posit