Jun 26, 2022 · The objective of this work is to use time series data acquired from an in-process millimeter-wave sensor for predicting the size, velocity, and shape ...

The objective of this work is to use time series data acquired from an in-process millimeter-wave sensor for predicting the size, velocity, and shape ...

Jun 26, 2022 · We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed ...

Oct 1, 2022 · We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed ...

We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed multilayer ...

We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed multilayer ...

We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed multilayer ...

In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning.

We devise machine learning models that use the millimeter-wave sensor data to predict the droplet characteristics. Specifically, we developed multilayer ...

In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning · Author ...