Learning to Fly: A Distributed Deep Reinforcement Learning Framework for Software-Defined UAV Network Control

Control and performance optimization of wireless networks of Unmanned Aerial Vehicles (UAVs) require scalable approaches that go beyond architectures based on centralized network controllers.At the same time, the performance of model-based optimization approaches is often limited by the accuracy of the approximations and relaxations necessary to so

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Analysis of Ukraine border-region economic collaboration effectiveness on the example of Sumy region and place of marketing of innovations in it

The aim of the article.The authors analyze the spheres of general interests and collaboration between Ukraine and Russia and methodical bases of such collaboration and its instruments in the article.The analysis of dynamics of external trade turnover and commodity structure of export and import of Sumy region as displays of economic border-region c

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Reverse and conventional chemical ecology approaches for the development of oviposition attractants for Culex mosquitoes.

Synthetic mosquito oviposition attractants are Hockey Protective - Shin Pads - Intermediate sorely needed for surveillance and control programs for Culex species, which are major vectors of pathogens causing various human diseases, including filariasis, encephalitis, and West Nile encephalomyelitis.We employed novel and conventional chemical ecolog

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