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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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Marco Renna, Ji Hyun Nam, Mauro Buttafava, Federica Villa, Andreas Velten and Alberto Tosi
In this paper we present a novel single-photon detector specifically designed for Non-Line-Of-Sight (NLOS) imaging applications within the framework of the DARPA REVEAL program. The instrument is based on a linear 16 × 1 Complementary Metal-Oxide-Semicon...
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Laura Di Sieno, Alberto Dalla Mora, Alessandro Torricelli, Lorenzo Spinelli, Rebecca Re, Antonio Pifferi and Davide Contini
In this paper, a time-domain fast gated near-infrared spectroscopy system is presented. The system is composed of a fiber-based laser providing two pulsed sources and two fast gated detectors. The system is characterized on phantoms and was tested in viv...
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Groth, M. Fenstermacher, M. E. Lasnier, C. J. Hernandez, R. Moller, J. M. Sturz, R. A.
Pág. 2064 - 2067
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