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Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis - Review of literature and in vitro case study.

, , , , , and . Medical Biol. Eng. Comput., 61 (6): 1239-1255 (June 2023)

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A Machine Learning Technique for Intelligent Manufacturing: Integrating Wavelet Packet Transform (WPT) Into Neural Network Modeling., and . ICE/ITMC, page 1-6. IEEE, (2023)A Statistical Correlation Analysis of Big Data in Machining., and . IEEE Big Data, page 6636-6638. IEEE, (2022)Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification., , , , and . Comput. Intell. Neurosci., (2012)An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting., , and . Soft Comput., 25 (2): 1277-1295 (2021)Total hip replacement monitoring: numerical models for the acoustic emission technique., , , , , , , , , and . Medical Biol. Eng. Comput., 60 (5): 1497-1510 (2022)Prediction of performance and emission characteristics in a biodiesel engine using WCO ester: a comparative study of neural networks., , , and . Soft Comput., 20 (7): 2665-2676 (2016)Hip implant performance prediction by acoustic emission techniques: a review., , , , , , and . Medical Biol. Eng. Comput., 58 (8): 1637-1650 (2020)Prediction of built-up edge formation in machining with round edge and sharp tools using a neural network approach., , and . Int. J. Comput. Integr. Manuf., 23 (11): 1002-1014 (2010)Comparison of denoising schemes and dimensionality reduction techniques for fault diagnosis of rolling element bearing using wavelet transform., , , , and . IJMR, 11 (3): 238-258 (2016)Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis - Review of literature and in vitro case study., , , , , and . Medical Biol. Eng. Comput., 61 (6): 1239-1255 (June 2023)