machine learning

Accelerating Big Data Analysis—Data Cleansing & Standardization Strategy

Posted by Dr. Fanqi Meng on Mar 5, 2021 8:55:14 AM

Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

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Topics: Engineering Data, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS, Sensor Data Management, Factory 4.0

What Will it Take for Fully Autonomous Vehicles to Become a Reality?

Posted by Dr. Fanqi Meng on Dec 4, 2018 6:43:00 PM

Self-driving cars offer a safe, efficient and cost-effective solution that will dramatically redefine the future of human mobility. 

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Topics: IIoT, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS