Improving the 3D model accuracy with a post-processing kinematic (PPK) method for UAS surveys
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1882004
Abstract: Numerous studies utilizing unmanned aerial systems (UASs) have been conducted using the structure from motion technique to study regions/objects of interest for various geoscience-related studies. ... read more here.
Keywords: kinematic ppk; improving model; post processing; model accuracy ... See more keywords
Accurate Differentially Private Deep Learning on the Edge
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3064345
Abstract: Deep learning (DL) models are increasingly built on federated edge participants holding local data. To enable insight extractions without the risk of information leakage, DL training is usually combined with differential privacy (DP). The core… read more here.
Keywords: accuracy; model accuracy; noise calibration; edge ... See more keywords
Resource Consumption for Supporting Federated Learning in Wireless Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3181611
Abstract: Federated learning (FL) has recently become one of the hottest focuses in wireless edge networks with the ever-increasing computing capability of user equipment (UE). In FL, UEs train local machine learning models and transmit them… read more here.
Keywords: wireless; wireless networks; federated learning; computing resources ... See more keywords
Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana)
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DOI: 10.1186/s12864-017-3715-5
Abstract: BackgroundGenomic selection (GS) uses information from genomic signatures consisting of thousands of genetic markers to predict complex traits. As such, GS represents a promising approach to accelerate tree breeding, which is especially relevant for the… read more here.
Keywords: model accuracy; selection; accuracy; growth wood ... See more keywords
Can multi-objective calibration of streamflow guarantee better hydrological model accuracy?
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2018.131
Abstract: Hydrological models often require calibration. Multi-objective calibration has been more widely used than single-objective calibration. However, it has not been fully ascertained that multi-objective calibration will necessarily guarantee better model accuracy. To test whether multi-calibration… read more here.
Keywords: objective calibration; multi objective; calibration; model accuracy ... See more keywords