HIGHLIGHTS
- who: Hasan Arief and collaborators from the Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA have published the research: Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning, in the Journal: Sensors 2022, 22, 9878. of /2022/
- what: To improve predictions outside the training distribution the authors explore the continual learning (CL) paradigm for accurately estimating the characteristics of fluid in pipelines. significant challenge facing CL is the concept of catastrophic forgetting. The authors provide novel approach for how to address the forgetting problem compressing the sensor data to increase . . .
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