Species identification through deep learning and geometrical morphology in oaks (Quercus spp.): Pros and cons
Sign Up to like & getrecommendations! Published in 2024 at "Ecology and Evolution"
DOI: 10.1002/ece3.11032
Abstract: Abstract Plant phenotypic characteristics, especially leaf morphology of leaves, are an important indicator for species identification. However, leaf shape can be extraordinarily complex in some species, such as oaks. The great variation in leaf morphology… read more here.
Keywords: deep learning; species identification; identification deep; leaf morphology ... See more keywords
Wind Turbine Gearbox Failure Identification With Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2607179
Abstract: The feasibility of monitoring the health of wind turbine (WT) gearboxes based on the lubricant pressure data in the supervisory control and data acquisition system is investigated in this paper. A deep neural network (DNN)-based… read more here.
Keywords: identification deep; deep neural; failure identification; gearbox failure ... See more keywords
targetSCAPE and ultraSCAPE: Simultaneous identification and deep profiling of human antigen-specific T cells and other immune cell subsets by mass cytometry.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2020.38.15_suppl.e15204
Abstract: e15204Background: During clinical trial immune monitoring, especially in the field of immunotherapy, it is critical to collect in-depth phenotypic information from multiple immune cell populations ... read more here.
Keywords: immune cell; targetscape ultrascape; identification deep; ultrascape simultaneous ... See more keywords