Zobrazeno 1 - 10
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pro vyhledávání: '"Wong., Edward"'
Autor:
Penzo, Erika, Loiudice, Anna, Barnard, Edward S., Borys, Nicholas J., Jurow, Matthew J., Lorenzon, Monica, Rajzbaum, Igor, Wong, Edward K., Liu, Yi, Schwartzberg, Adam M., Cabrini, Stefano, Whitelam, Stephen, Buonsanti, Raffaella, Weber-Bargioni, Alexander
F\"orster Resonant Energy Transfer (FRET)-mediated exciton diffusion through artificial nanoscale building block assemblies could be used as a new optoelectronic design element to transport energy. However, so far nanocrystal (NC) systems supported o
Externí odkaz:
http://arxiv.org/abs/2003.04353
Publikováno v:
Proceedings of the 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2024, pp. 587-592
Real-time object tracking necessitates a delicate balance between speed and accuracy, a challenge exacerbated by the computational demands of deep learning methods. In this paper, we propose Confidence-Triggered Detection (CTD), an innovative approac
Externí odkaz:
http://arxiv.org/abs/1902.00615
Autor:
Aiello, Clarice D., Pickel, Andrea D., Barnard, Edward, Wai, Rebecca B., Monachon, Christian, Wong, Edward, Aloni, Shaul, Ogletree, D. Frank, Dames, Chris, Ginsberg, Naomi
Crucial to analyze phenomena as varied as plasmonic hot spots and the spread of cancer in living tissue, nanoscale thermometry is challenging: probes are usually larger than the sample under study, and contact techniques may alter the sample temperat
Externí odkaz:
http://arxiv.org/abs/1810.07581
With the recent development of deep learning on steganalysis, embedding secret information into digital images faces great challenges. In this paper, a secure steganography algorithm by using adversarial training is proposed. The architecture contain
Externí odkaz:
http://arxiv.org/abs/1804.07939
Publikováno v:
In Polyhedron 1 October 2022 225
Different from the conventional deep learning work based on an images content in computer vision, deep steganalysis is an art to detect the secret information embedded in an image via deep learning, pose challenge of detection weak information invisi
Externí odkaz:
http://arxiv.org/abs/1711.09335
Akademický článek
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Akademický článek
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Publikováno v:
In Neurocomputing 28 October 2021 462:376-388