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Research article

First published 2021-08-11

An improved QPSO-SVM-based approach for predicting the milling force for white marble in robot stone machining

Fangchen Yin, Qinzhi Ji, Chengwei Jin

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2013-6

Investigation of the cutting performance of the natural stone block production in quarries with armed-chain cutting machine

Ali Sariisik, Gencay Sariisik

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2024-08

A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data

Kevin Shee, Andrew W. Liu, Carter Chan [...]

Journal of Endourology

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Research article

First published 2022-02

Machine Learning Prediction of Kidney Stone Composition Using Electronic Health Record-Derived Features

Abin Abraham, Nicholas L. Kavoussi, Wilson Sui [...]

Journal of Endourology

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Research article

First published 2022-08

Machine Learning-Assisted Preoperative Diagnosis of Infection Stones in Urolithiasis Patients

TingTing Chen, YiFan Zhang, QuanLiang Dou [...]

Journal of Endourology

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Research article

First published 2025-07

Harnessing Artificial Intelligence to Predict Spontaneous Stone Passage: Development and Testing of a Machine Learning-Based Calculator

Kavita Gupta, Anna Ricapito, Dara Lundon [...]

Journal of Endourology

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Research article

First published 2025-09

Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach

Hriday P. Bhambhvani, Adithya Balasubramanian, Justin Lee [...]

Journal of Endourology

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Research article

First published 2024-08

Predictive Modeling of Urinary Stone Composition Using Machine Learning and Clinical Data: Implications for Treatment Strategies and Pathophysiological Insights

John A. Chmiel, Gerrit A. Stuivenberg, Jennifer F.W. Wong [...]

Journal of Endourology

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Research article

First published 2023-12

Routine Urinary Biochemistry Does Not Accurately Predict Stone Type Nor Recurrence in Kidney Stone Formers: A Multicentre,Multimodel,Externally Validated Machine-Learning Study

Robert M. Geraghty, Ian Wilson, Eric Olinger [...]

Journal of Endourology

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Research article

First published 2024-08

Development of UroSAM: A Machine Learning Model to Automatically Identify Kidney Stone Composition from Endoscopic Video

Jixuan Leng, Junfei Liu, Galen Cheng [...]

Journal of Endourology

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