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pro vyhledávání: '"Florence, Victoria"'
To be effective in unstructured and changing environments, robots must learn to recognize new objects. Deep learning has enabled rapid progress for object detection and segmentation in computer vision; however, this progress comes at the price of hum
Externí odkaz:
http://arxiv.org/abs/1904.00952
To be useful in everyday environments, robots must be able to identify and locate real-world objects. In recent years, video object segmentation has made significant progress on densely separating such objects from background in real and challenging
Externí odkaz:
http://arxiv.org/abs/1903.08336
Autor:
Farah Noun, Rafik Naccache, Florence Victoria, Tayline V. de Medeiros, Jun-Ray Macairan, John Manioudakis
Publikováno v:
Journal of Materials Chemistry C. 7:7175-7195
Carbon dots, an emerging class within the carbon allotrope family, have gained significant attention largely due to their versatile and tunable physico-chemical and optical properties. These quasi-spherical carbon nanomaterials, less than 10 nm in si
Autor:
Roberto Lucifero, John Manioudakis, Florence Victoria, Rafik Naccache, Liam Brown, Christine A. Thompson, Michael Movsum
Publikováno v:
Journal of Materials Chemistry C. 7:853-862
Passivation of carbon dots, via nitrogen-doping, enhances their photoluminescent properties yet the impact of the chemical composition of the passivating molecule remains poorly understood. In this work, we seek to clarify the role of nitrogen-doping
Publikováno v:
RSC advances. 10(53)
Chirality remains a critical consideration in drug development and design, as well as in applications of enantioselective recognition and sensing. However, the preparation of chiral nanomaterials requires extensive post synthetic modifications with a