Titlebook: Emerging Research in Intelligent Systems; Proceedings of the C Miguel Botto-Tobar,Henry Cruz,Benjamin Durakovic Conference proceedings 2022

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Neural Network Data Analysis Using Simulnet™ing the optimal costs of a supply model. In this paper, we study this model by using simulated scenarios subject to different degrees of skewness and kurtosis to model demand, considering univariate Weibull statistical distribution described by a generalized additive models of location, scale and sh

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Statistical Mechanics of Nervous Nets, to achieve a higher level of security. For this reason, ECC (Elliptic Curves Cryptography) is considered as a promising solution. This paper shows a systematic review about ECC methods for IoT systems. Our research questions were related to find out the principal applications of ECC, criteria for i

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Neural Network Adjustment Algorithmsd the resources that compose it. The implementation of Blockchain has provided improvements in security and reliability for handling data. However, there is no concrete information on techniques, advantages, or results of the use of Blockchain in IoT devices. To identify relevant information on the

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Radial Basis Function Networks,ion of an application oriented to the transport of people with a motor disability. The application is developed for Android system, uses Google’s geolocation services, maps and routes generation, in addition, it stores information in Firebase, also has a web interface that allows the validation of n

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