Category: Deep Learning

Data Assimilation Deep Learning Digital Twin HAM Interface Learning Machine Learning

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

4 years ago
adil

Most modeling approaches lie in either of the two categories: physics-based or data-driven. Recently, a third approach which is a combination of these deterministic and statistical models is emerging for…

Deep Learning Machine Learning Reinforcement Learning

Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles

4 years ago
adil

Control theory provides engineers with a multitude of tools to design controllers that manipulate the closed-loop behavior and stability of dynamical systems. These methods rely heavily on insights into the…

Deep Learning Digital Twin HAM Machine Learning

HAM for next generation of digital twins

4 years ago
adil

Highlight: The team of Suraj Pawar and Shady Ahmed wins the best paper award for this work at the Deep Wind 2021 COnference The physics-based modeling has been the workhorse…