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Research article

First published 2014-11

An analytical method for predicting damage zone in orthogonal machining of unidirectional composites

A Sahraie Jahromi, B Bahr, KK Krishnan

Journal of Composite Materials

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Research article

First published 2020-2

Classifying earthquake damage to buildings using machine learning

Sujith Mangalathu, Han Sun, Chukwuebuka C. Nweke [...]

Earthquake Spectra

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Research article

First published 2022-1

The method of repairing OHE damaged ancient painted murals based on machine vision

Hao Li

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2025

Microstructural damage dependent machine learning model to predict stiffness reduction in damaged GFRP composites

Mritunjay M Hiremath, Timo Bernthaler, Pascal Anger [...]

Journal of Reinforced Plastics and Composites

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Research article

First published 2016-7

Investigations in subsurface damage when machining γ′-strengthened nickel-based superalloy

Yujie Chen, Cristina Bunget, Laine Mears [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2020-12

A machine learning damage prediction model for the 2017 Puebla-Morelos,Mexico,earthquake

Samuel Roeslin, Quincy Ma, Hugon Juárez-Garcia [...]

Earthquake Spectra

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Research article

First published 1996-6

Recent Progress of Computer Aided Simulation of Chip Flow and Tool Damage in Metal Machining

K Maekawa, T Shirakashi, T Obikawa

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2022-4

Structural damage identification method based on vibration statistical indicators and support vector machine

Jiayan Lei, Yiguan Cui, Wei Shi

Advances in Structural Engineering

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Research article

First published 2024-10

Hybrid modal-machine learning damage identification approach for beam-like structures

Pei Yi Siow, Zhi Chao Ong, Shin Yee Khoo [...]

Journal of Vibration and Control

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Research article

First published 2016-5

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

Ramin Ghiasi, Peyman Torkzadeh, Mohammad Noori

Structural Health Monitoring

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