Didier Siboni

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In this paper, we present a possible application of neural networks as a component of an intrusion detection system. Neural network algorithms are emerging nowadays as a new arnficial intelligence techm”quethat can be applied to real-l~e problems. We present an approach of user behavior modeling that takes advantage of the properties of neural algorithms(More)
Low-energy alpha particle and proton heavy charged particle (HCP) relative thermoluminescence (TL) efficiencies are calculated for the major dosimetric glow peak in LiF:Mg,Cu,P (MCP-N) in the framework of track structure theory (TST). The calculations employ previously published TRIPOS-E Monte Carlo track segment values of the radial dose in condensed phase(More)
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