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NETWORK DEFENSE THROUGH THE USE OF MACHINE LEARNING and Distributed Denial of Service Attack(DDOS), a more effective method of information and network safety via

A neural regulator for efficient control of electric vehicle motors the service life of mechanical components. During motor operation, the neural network can continue learning

FLAT CITY VERSUS VOLUMETRIC CITY, RE-APPLICATION OF THE LAYERED MOVEMENT NETWORK APPROACH mobility networks as main structural elements for the landscape (Bruyns, 2011, Read & Bruyns 2007

Hierarchical Intelligent-Geometric Control Architecture for Unmanned Aerial Vehicles Operating in Uncertain Environments intelligence (productions, semantic networks, fuzzy logic, frame-based behavioral microprograms and operations

The method of attack detection in corporative networkThe method of attack detection in corporative network

On the Performance of Spectrum Handoff Framework for Next-generation 5G Networks), such as the mobile network operators (MNOs), which coexist geographically. Despite certain benefits, there are still

Convergence bounds for limited processor sharing queue with impatience for analyzing non-stationary file transfer in wireless networkThe data transmission in wireless networks is usually analyzed under the assumption of non

Simulation of Hydrogen Combustion at Different Pressures Using a Neural Network of calculations as compared to numerical methods. The resulting neural network operates in a recurrent mode

On the analysis of the the dynamic assignment of radio resources in wireless networks with a Network Slicing mechanism. The technology will radically change the approach of network operators to the support of vertical applications

A Bit-Parallel Representation of Activation Functions for Fast Neural Networks by the tabular-algorithmic method is suggested. The effect is achieved by means of a bit-parallel representation

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