Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Space Research"
DOI: 10.1016/j.asr.2018.11.011
Abstract: Abstract In the last 20 years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of… read more here.
Keywords: neural network; single frequency; using tensorflow; gnss ... See more keywords
Image Retraining Using TensorFlow Implementation of the Pretrained Inception-v3 Model for Evaluating Gravel Road Dust
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Infrastructure Systems"
DOI: 10.1061/(asce)is.1943-555x.0000545
Abstract: AbstractIn gravel roads management systems (GRMS), the need for a holistic approach for detecting the dust amounts on gravel roads has enabled the development of a solution that works based on one ... read more here.
Keywords: image retraining; tensorflow implementation; pretrained inception; implementation pretrained ... See more keywords
Tree Species Identification in Urban Environments Using TensorFlow Lite and a Transfer Learning Approach
Sign Up to like & getrecommendations! Published in 2023 at "Forests"
DOI: 10.3390/f14051050
Abstract: Building and updating tree inventories is a challenging task for city administrators, requiring significant costs and the expertise of tree identification specialists. In Ecuador, only the Trees Inventory of Cuenca (TIC) contains this information, geolocated… read more here.
Keywords: transfer learning; using tensorflow; tensorflow lite; learning approach ... See more keywords