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   Articles with "model accuracy" as a keyword



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Improving the 3D model accuracy with a post-processing kinematic (PPK) method for UAS surveys

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recommendations! 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

DeepUMQA-X: Comprehensive and insightful estimation of model accuracy for protein single-chain and complex

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recommendations! Published in 2025 at "Nucleic Acids Research"

DOI: 10.1093/nar/gkaf380

Abstract: Abstract An open protein model quality assessment server is essential for improving the accuracy of structure prediction and advancing the application of protein models in the biology community. In the post-AlphaFold2 era, protein complex structure… read more here.

Keywords: single model; deepumqa; model accuracy; protein ... See more keywords

Efficient and Secure Federated Knowledge Transfer Under Non-IID Settings in IoT

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3555646

Abstract: In the era of Internet of Things (IoT) and federated learning (FL), where distributed training models are essential, the FL paradigm has come into the spotlight for researchers. However, the inconsistency in the sources of… read more here.

Keywords: non iid; efficient secure; model accuracy; knowledge transfer ... See more keywords

Impact of MBES Measurement Noise on Seabed Model Accuracy: A Comparative Analysis of Interpolation and Smoothing Techniques

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3628055

Abstract: This study investigates the accuracy of seabed digital terrain models (DTMs) generated from multibeam echo sounder (MBES) data, focusing on mitigating the impact of random measurement noise. Despite the precision of modern MBES systems, random… read more here.

Keywords: measurement noise; accuracy; interpolation; model accuracy ... See more keywords

Tri-AFLLM: Resource-Efficient Adaptive Asynchronous Accelerated Federated LLMs

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3519790

Abstract: The local deployment of federated large language models (FLLM) has further advanced the development of edge intelligence. However, the resource constraints of end devices, device heterogeneity, and the non-independent and identically distributed (Non-IID) nature of… read more here.

Keywords: resource; tri afllm; model accuracy; adaptive asynchronous ... See more keywords

Model-Free Predictive Control Using Sinusoidal Generalized Universal Model for PMSM Drives

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recommendations! Published in 2024 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2024.3379667

Abstract: To address the issue of weak robustness caused by parameter mismatches in model predictive control (MPC), model-free predictive control is widely adopted in motor driving systems. This approach replaces the a priori model with a… read more here.

Keywords: model free; control; predictive control; free predictive ... See more keywords
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Accurate Differentially Private Deep Learning on the Edge

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recommendations! 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

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recommendations! 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

Chili leaf segmentation using meta-learning for improved model accuracy

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recommendations! Published in 2025 at "Bulletin of Electrical Engineering and Informatics"

DOI: 10.11591/eei.v14i3.7929

Abstract: Recognizing chili plant varieties through chili leaf image samples automatically at low costs represents an intriguing area of study. While maintaining and protecting the quality of chili plants is a priority, classifying leaf images captured… read more here.

Keywords: accuracy; meta learning; chili leaf; model accuracy ... 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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recommendations! Published in 2017 at "BMC Genomics"

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?

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recommendations! 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