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Improving the performance of an unmixing model in sediment source apportionment using synthetic sediment mixtures and an adaptive boosting algorithm

Catena (Giessen), 2022-10, Vol.217, p.106491, Article 106491

2022

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Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction & building materials, 2020-01, Vol.230, p.117000, Article 117000

2020

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Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

Advanced engineering informatics, 2020-08, Vol.45, p.101126, Article 101126

2020

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Milling chatter detection by multi-feature fusion and Adaboost-SVM

Mechanical systems and signal processing, 2021-07, Vol.156, p.107671, Article 107671

2021

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Data-driven insights into the properties of liquisolid systems based on machine learning algorithms

European journal of pharmaceutical sciences, 2024-12, Vol.203, p.106927, Article 106927

2024

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Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

Agricultural water management, 2020-02, Vol.228, p.105875, Article 105875

2020

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Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model

IEEE transactions on power electronics, 2021-02, Vol.36 (2), p.1303-1315

2021

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Application of hybrid artificial intelligence model to predict coal strength alteration during CO2 geological sequestration in coal seams

The Science of the total environment, 2020-04, Vol.711, p.135029-135029, Article 135029

2020

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Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

Journal of hydrology (Amsterdam), 2019-12, Vol.579, p.124172, Article 124172

2019

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Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm

Energy (Oxford), 2022-12, Vol.261, p.125328, Article 125328

2022

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Hybrid boosting algorithms and artificial neural network for wind speed prediction

International journal of hydrogen energy, 2022-01, Vol.47 (3), p.1449-1460

2022

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Multi-objective optimization for combustion, thermodynamic and emission characteristics of Atkinson cycle engine using tree-based machine learning and the NSGA II algorithm

Fuel (Guildford), 2023-06, Vol.342, p.127839, Article 127839

2023

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Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application

Journal of structural engineering (New York, N.Y.), 2021-02, Vol.147 (2)

2021

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Novel hybrid WOA-GBM model for patch loading resistance prediction of longitudinally stiffened steel plate girders

Thin-walled structures, 2022-08, Vol.177, p.109424, Article 109424

2022

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Reducing the burden of data collection in a fingerprinting-based VLP system using a hybrid of improved co-training semi-supervised regression and adaptive boosting algorithms

Optics communications, 2021-06, Vol.488, p.126857, Article 126857

2021

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GBC: Guided Alignment and Adaptive Boosting CLIP Bridging Vision and Language for Robust Action Recognition

IEEE transactions on circuits and systems for video technology, 2024-09, Vol.34 (9), p.8172-8187

2024

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Crash injury severity analysis using a two-layer Stacking framework

Accident analysis and prevention, 2019-01, Vol.122, p.226-238

2019

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Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach

Expert systems with applications, 2024-10, Vol.251, p.123934, Article 123934

2024

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Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation

Applied sciences, 2022-02, Vol.12 (4), p.2126

2022

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Human Microbe-Disease Association Prediction Based on Adaptive Boosting

Frontiers in microbiology, 2018-10, Vol.9, p.2440-2440

2018

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Effective passenger flow forecasting using STL and ESN based on two improvement strategies

Neurocomputing (Amsterdam), 2019-09, Vol.356, p.244-256

2019

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Artificial intelligence methods reliably predict crop evapotranspiration with different combinations of meteorological data for sugar beet in a semiarid area

Agricultural water management, 2021-08, Vol.254, p.106968, Article 106968

Yamaç, Sevim Seda

2021

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Unbalanced fault diagnosis of rolling bearings using transfer adaptive boosting with squeeze-and-excitation attention convolutional neural network

Measurement science & technology, 2023-04, Vol.34 (4), p.44006

2023

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Hepatotoxicity and lipid metabolism disorders of 8:2 polyfluoroalkyl phosphate diester in zebrafish: In vivo and in silico evidence

Journal of hazardous materials, 2024-05, Vol.469, p.133807, Article 133807

2024

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A data-driven fault detection scheme for DC distribution networks based on the adaptive boosting technique

Applied energy, 2024-11, Vol.374, p.123949, Article 123949

2024

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Improving the performance of an unmixing model in sediment source apportionment using synthetic sediment mixtures and an adaptive boosting algorithm

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

Milling chatter detection by multi-feature fusion and Adaboost-SVM

Data-driven insights into the properties of liquisolid systems based on machine learning algorithms

Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model

Application of hybrid artificial intelligence model to predict coal strength alteration during CO2 geological sequestration in coal seams

Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm

Hybrid boosting algorithms and artificial neural network for wind speed prediction

Multi-objective optimization for combustion, thermodynamic and emission characteristics of Atkinson cycle engine using tree-based machine learning and the NSGA II algorithm

Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application

Novel hybrid WOA-GBM model for patch loading resistance prediction of longitudinally stiffened steel plate girders

Reducing the burden of data collection in a fingerprinting-based VLP system using a hybrid of improved co-training semi-supervised regression and adaptive boosting algorithms

GBC: Guided Alignment and Adaptive Boosting CLIP Bridging Vision and Language for Robust Action Recognition

Crash injury severity analysis using a two-layer Stacking framework

Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach

Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation

Human Microbe-Disease Association Prediction Based on Adaptive Boosting

Effective passenger flow forecasting using STL and ESN based on two improvement strategies

Artificial intelligence methods reliably predict crop evapotranspiration with different combinations of meteorological data for sugar beet in a semiarid area

Unbalanced fault diagnosis of rolling bearings using transfer adaptive boosting with squeeze-and-excitation attention convolutional neural network

Hepatotoxicity and lipid metabolism disorders of 8:2 polyfluoroalkyl phosphate diester in zebrafish: In vivo and in silico evidence

A data-driven fault detection scheme for DC distribution networks based on the adaptive boosting technique

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