Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful technique for solving challenging reinforcement learning problems. Compared to traditional (e.g.
Abstract: A number of detection and defense mechanisms have emerged in the last decade to tackle the botnet phenomenon. It is important to organize this knowledge to better understand the botnet ...
Abstract: Energy-efficiency is the main concern in most Wireless Sensor Network (WSN) applications. For this purpose, current WSN MAC (Medium Access Control) protocols use duty-cycling schemes, where ...
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Barcellona, Spagna-- (BUSINESS WIRE)--Mentre il MWC Barcelona 2026 mette in evidenza il ruolo sempre più centrale dell’intelligenza artificiale, della connettività e di sistemi tecnologici più ...
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