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Francesco Mercaldo, Luca Brunese, Fabio Martinelli, Antonella Santone and Mario Cesarelli
Currently, deep learning networks, with particular regard to convolutional neural network models, are typically exploited for biomedical image classification. One of the disadvantages of deep learning is that is extremely expensive to train due to comple...
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Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo and Antonella Santone
The Android platform is currently targeted by malicious writers, continuously focused on the development of new types of attacks to extract sensitive and private information from our mobile devices. In this landscape, one recent trend is represented by t...
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Eugenia Bobeico, Lucia V. Mercaldo, Pasquale Morvillo, Iurie Usatii, Marco Della Noce, Laura Lancellotti, Carmen Sasso, Rosa Ricciardi and Paola Delli Veneri
Substoichiometric molybdenum oxide (MoOx) has good potential as a hole-collecting layer in solar cells. In this paper, we report on the application of ultrathin evaporated MoOx as a hole collector at the back side of two distinct photovoltaic technologie...
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Lucia V. Mercaldo, Iurie Usatii and Paola Delli Veneri
The conversion efficiency of thin-film silicon solar cells needs to be improved to be competitive with respect to other technologies. For a more efficient use of light across the solar spectrum, multi-junction architectures are being considered. Light-ma...
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Talanov, Vladimir V.; Mercaldo, Lucia V.; Anlage, Steven M.; Claassen, John H
Pág. 2136 - 2146
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