Search Results - (( learning-based modeling predictive value ) OR ( learning-based two augmentation techniques ))

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augmentation techniques » segmentation techniques , imputation techniques
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Machine learning based customer churn prediction in home appliance rental business

by Youngjung, Suh
Published 2023

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Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate

by Van-Hai Nguyen, Tien-Thinh Le, Hoanh-Son Truong, Minh Vuong Le, Van-Luc Ngo, Anh Tuan Nguyen, Huu Quang Nguyen
Published 2021

“... factors affecting surface quality. In this research, six machine learning- (ML-) based models—artificial...”
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Development of user-friendly kernel-based Gaussian process regression model for prediction of load...

by Tien-Thinh, Le, Minh Vuong, Le
Published 2021

“...A Machine Learning (ML) model based on Gaussian regression, using different kernel functions...”
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IoT-cloud based healthcare model for COVID-19 detection an enhanced k-Nearest Neighbour classifier based approach

by Rajendrani, Mukherjee, Aurghyadip, Kundu, Indrajit, Mukherjee
Published 2023

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Enhancing the performance of transferred efficientnet models in leaf image-based plant disease classification

by Bui, Thi Hanh, Hoang, Van Manh, Nguyen, Ngoc Viet
Published 2022

Subjects: “...Image augmentation...”
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Enhancing the performance of transferred efficientnet models in leaf image-based plant disease classification

by Bui, Thi Hanh, Hoang, Van Manh, Ngoc-Viet Nguyen
Published 2022

Subjects: “...Image augmentation...”
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Critical Buckling Load Evaluation of Functionally Graded Material Plate Using Gaussian Process Regression

by Huan, Thanh Duong, Hieu, Chi Phan, Tien, Thinh Le
Published 2022

“... learning model is crucial for predicting critical buckling load of the FGM plate without complexity...”
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Critical Buckling Load Evaluation of Functionally Graded Material Plate Using Gaussian Process Regression

by Huan Thanh, Duong, Hieu Chi, Phan, Tien Thinh, Le
Published 2022

“... learning model is crucial for predicting critical buckling load of the FGM plate without complexity...”
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