Improved multi-label imaging using hyperspectral phaser analysis
Sign Up to like & getrecommendations! Published in 2017 at "Lab Animal"
DOI: 10.1038/laban.1206
Abstract: version of the algorithm that would enable scientists to more easily take advantage of tools like brainbow mice and zebrafish for lineage analysis. With some small tweaks to the software, they hope to add some… read more here.
Keywords: improved multi; label imaging; genetics; multi label ... See more keywords
Analysis method for factors influencing gear hobbing quality based on density peak clustering and improved multi-objective differential evolution algorithm
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Integrated Manufacturing"
DOI: 10.1080/0951192x.2021.1885063
Abstract: ABSTRACT For addressing the problem that the quality indicators of gear hobbing are complicated and the influencing factors are unknown, a characteristic processing method combining improved multi-objective differential evolution (IMODE) and clustering based on peak… read more here.
Keywords: quality; process; method; hobbing quality ... See more keywords
A New Searching Approach Using Improved Multi-Ant Colony Scheme for Multi-UAVs in Unknown Environments
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2949249
Abstract: In this research, an important topic of cooperative search for multi-dynamic targets in unknown sea area by unmanned aerial vehicle (UAV) is studied based on improved multi-ant colony theory (IMAC). A specialized multi-UAV sea area… read more here.
Keywords: new searching; multi ant; ant colony; multi ... See more keywords
An Improved Multi-View Convolutional Neural Network for 3D Object Retrieval
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3008970
Abstract: Learning robust and discriminative representations is essential for 3D object retrieval. In this paper, we present an improved Multi-view Convolutional Neural Network (MVCNN) for view-based 3D object representation learning. Our technical contributions are divided into… read more here.
Keywords: object retrieval; multi view; view; convolutional neural ... See more keywords
Machinery fault diagnosis via an improved multi-linear subspace and locally linear embedding
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331217739688
Abstract: Traditional fault diagnosis methods mainly depend on the vector model to describe a signal, which will lead to information loss and the curse of dimensionality. In order to overcome these problems, in this paper an… read more here.
Keywords: improved multi; diagnosis; fault diagnosis; linear subspace ... See more keywords