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   Articles with "training strategy" as a keyword



Ensemble learning and personalized training for the improvement of unsupervised deep learning-based synthetic CT reconstruction.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16087

Abstract: BACKGROUND The growing adoption of MRI-guided radiation therapy (RT) platforms and a focus on MRI-only RT workflows has brought the technical challenge of synthetic CT (sCT) reconstruction to the forefront. Unpaired-data deep learning-based approaches to… read more here.

Keywords: unpaired data; training; training strategy; personalized training ... See more keywords

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.05.061

Abstract: Abstract Working up with deep learning techniques requires profound understanding of the mechanisms underlying the optimization of the internal parameters of complex structures. The major factor limiting this understanding is that there exist only a… read more here.

Keywords: limited memory; training strategy; optimization; bfgs ... See more keywords

A network-based team situation awareness enhanced training strategy and experimental validation in simulated maritime collaboration.

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recommendations! Published in 2025 at "Ergonomics"

DOI: 10.1080/00140139.2025.2538703

Abstract: This study proposes a network-based training strategy to improve the team situation awareness (TSA) of crews in complex socio-technical systems. Eighty-four participants were recruited and divided into twenty-one teams to receive different trainings, including network-less… read more here.

Keywords: team; based training; network based; training ... See more keywords

A patch-interactive enhancement network for semiconductor wafer map mixed defect recognition with a two-stage training strategy

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/adbc0d

Abstract: To improve the product quality and process reliability in the semiconductor manufacturing, it is of great significance to detect the defect of the wafer map and recognize the defect pattern. With the increase in the… read more here.

Keywords: patch interactive; interactive enhancement; recognition; wafer map ... See more keywords

A Novel Curriculum Learning Training Strategy for Pomegranate Growth Stage Classification Using YOLO Models on Multi-Source Datasets for Precision Agriculture

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3581794

Abstract: Pomegranates are among the many vital crops generally believed to offer health quality and economically impact agriculture. Accurate detection and classification of the pomegranate growth stages enables fruit harvesting robots, resulting in yield optimization, supply… read more here.

Keywords: detection; curriculum; curriculum learning; training strategy ... See more keywords

Research on the Training Strategy of Aerobic Physical Education Talents under the Background of Artificial Intelligence Era

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recommendations! Published in 2022 at "Applied Bionics and Biomechanics"

DOI: 10.1155/2022/1102760

Abstract: Aerobic is loved by the public, especially the young people, through the combination of the art and power of dance. With people's attention to health, the demand for aerobic professionals is increasing. As an important… read more here.

Keywords: artificial intelligence; physical education; training strategy; intelligence ... See more keywords

Optimized U-shape convolutional neural network with a novel training strategy for segmentation of concrete cracks

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recommendations! Published in 2023 at "Structural Health Monitoring"

DOI: 10.1177/14759217221105647

Abstract: Crack detection is a vital component of structural health monitoring. Several computer vision-based studies have been proposed to conduct crack detection on concrete surfaces, but most cases have difficulties in detecting fine cracks. This study… read more here.

Keywords: training strategy; novel training; concrete; model ... See more keywords

A training strategy for hybrid models to break the curse of dimensionality

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0274569

Abstract: Mechanistic/data-driven hybrid modeling is a key approach when the mechanistic details of the processes at hand are not sufficiently well understood, but also inferring a model purely from data is too complex. By the integration… read more here.

Keywords: training strategy; hybrid models; strategy hybrid; strategy ... See more keywords

The Muscle Fatigue’s Effects on the sEMG-Based Gait Phase Classification: An Experimental Study and a Novel Training Strategy

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recommendations! Published in 2021 at "Applied Sciences"

DOI: 10.3390/app11093821

Abstract: Surface Electromyography (sEMG) enables an intuitive control of wearable robots. The muscle fatigue-induced changes of sEMG signals might limit the long-term usage of the sEMG-based control algorithms. This paper presents the performance deterioration of sEMG-based… read more here.

Keywords: training strategy; semg based; fatigue; muscle fatigue ... See more keywords