Hip implant performance prediction by acoustic emission techniques: a review. - Ampadi R. Remya; B. Vishwash; Christine Lee; P. Srinivasa Pai; Alejandro A. Espinoza Oras; Didem Ozevin; Mathew T. Mathew (Medical Biol. Eng. Comput., 2020)

Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs. - Kaiser Asif; Lu Zhang; Sybil Derrible; J. Ernesto Indacochea; Didem Ozevin; Brian D. Ziebart (J. Intell. Manuf., 2022)

Total hip replacement monitoring: numerical models for the acoustic emission technique. - Ampadi R. Remya; Christine Lee; Lu Zhang; Supriya M. H; Divya Bijukumar; P. Srinivasa Pai; Kharma Foucher; Sheng-Wei Chi; Didem Ozevin; Mathew T. Mathew (Medical Biol. Eng. Comput., 2022)

Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis - Review of literature and in vitro case study. - Ampadi R. Remya; Sheng-Wei Chi; P. Srinivasa Pai; Kharma Foucher; Didem Ozevin; Mathew T. Mathew (Medical Biol. Eng. Comput., 2023)

Experimental Study on Monitoring Damage Progression of Basalt-FRP Reinforced Concrete Slabs Using Acoustic Emission and Machine Learning. - Tonghao Zhang; Mohammad Mahdi; Mohsen Issa; Chenxi Xu; Didem Ozevin (Sensors, 2023)

AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network. - Yingyi Luo; Talha M. Khan; Emadeldeen Hamdan; Xin Zhu 005; Hongyi Pan; Didem Ozevin; A. Enis Çetin (VTS, 2024)

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression. - Xin Zhu 005; Daoguang Yang; Hongyi Pan; Hamid Reza Karimi; Didem Ozevin; Ahmet Enis Çetin (Eng. Appl. Artif. Intell., 2024)