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Keywords: artificial intelligence
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Proceedings Papers
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A035, October 30–November 3, 2022
Paper No: IMECE2022-92024
... for the training data and checking data respectively. Hence, the developed model can predict the values of the average surface roughness with high accuracy. adaptive neuro-fuzzy inference system (ANFIS) surface roughness CO 2 laser ablation artificial intelligence polymethyl methacrylate (PMMA...
Proceedings Papers
Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A003, November 1–5, 2021
Paper No: IMECE2021-73153
... ultrasonic sensors and from noncontinuous nondestructive testing (NDT) based eddy current measurements is demonstrated. Keywords: Digital twin, Artificial intelligence, Machine learning, Relational database management systems, Structured Query Language (SQL), NoSQL ABBREVIATION: AI-ML: Artificial...
Proceedings Papers
Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A048, November 1–5, 2021
Paper No: IMECE2021-71261
... is strengthened by the growing complexity of work systems and the increasing use of artificial intelligence-based algorithms, which have the potential to replace distinctive human capabilities and are associated with a shift of responsibility from humans to machines. We identify essentially two factors impeding...
Proceedings Papers
Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A021, November 16–19, 2020
Paper No: IMECE2020-24120
.... KEYWORDS Anonymization, GDPR. Data protection, Artificial Intelligence 1. INTRODUCTION Data acquisition and its management are at the centre of both healthcare institutions and users, the citizens. Data, properly acquired and managed, provides ground for the healthcare institutions to develop the best...
Proceedings Papers
Proc. ASME. IMECE2019, Volume 8: Heat Transfer and Thermal Engineering, V008T09A045, November 11–14, 2019
Paper No: IMECE2019-11936
... speed is more effective to improve the ANN performance than the mass flow rate data augmentation. Keywords: Centrifugal Compressor, Gaussian Process Re- gression, Neural Network, Artificial Intelligence, Machine Learning INTRODUCTION The design and off-design performance of a centrifugal compressor can...
