Enhancing Aviation Predictive Maintenance with oneAPI: NASA's Turbofan Engine Degradation Simulation
NASA’s Open Data Portal facilitates Earth science research, climate monitoring, disaster management, and international collaboration. The CMAPSS simulated data, depicting aircraft engine degradation, is pivotal for predictive maintenance, research, and education in aviation and data science. This dataset describes the degradation of the aircraft and its contamination with sensor noise. Learn how Deepthi harnessed oneAPI’s unified programming model, integrating sklearn, xgboost, and daal4py libraries, to optimize and parallelize machine learning algorithms and enhance the predictive accuracy of the dataset.
Speaker(s)
Deepthi A J - IICSE University/PhD Scholar
Deepthi A J is an Intel oneAPI Innovator and Intel Certified Instructor in Machine Learning using oneAPI. Currently pursuing a Ph.D., she is deeply passionate about crafting AI solutions and leveraging the benefits of oneAPI to drive innovation in the field.
