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Peng Li, Yibing Fan, Zhengyang Cai, Zhiyu Lyu and Weijie Ren
Marine biological object detection is of great significance for the exploration and protection of underwater resources. There have been some achievements in visual inspection for specific objects based on machine learning. However, owing to the complex i...
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Toms Salgals, Janis Alnis, Oskars Ozolins, Alexey V. Andrianov, Elena A. Anashkina, Inga Brice, Roberts Berkis, Xiaodan Pang, Aleksejs Udalcovs, Jurgis Porins, Sandis Spolitis and Vjaceslavs Bobrovs
Kerr optical frequency combs (OFCs) based on silica microsphere whispering gallery mode resonator (WGMR) have various applications where they are used as a light source. For telecommunication purposes, WGMR-based Kerr-OFC comb generators can be physicall...
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Marcele O. K. Mendonça, Jonathas O. Ferreira, Christos G. Tsinos, Paulo S R Diniz and Tadeu N. Ferreira
The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation, data...
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Yi Weng, Junyi Wang and Zhongqi Pan
This paper provides a technical review regarding the latest progress on multi-input multi-output (MIMO) digital signal processing (DSP) equalization techniques for high-capacity fiber-optic communication networks. Space division multiplexing (SDM) techno...
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Marino Mangeruga, Marco Cozza and Fabio Bruno
Underwater images usually suffer from poor visibility, lack of contrast and colour casting, mainly due to light absorption and scattering. In literature, there are many algorithms aimed to enhance the quality of underwater images through different approa...
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