26 citations · 34 across the 5 of their papers we have counts for
5 papers
A Recurrent YOLOv8-based framework for Event-Based Object Detection
Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh +2
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based…
Gym-preCICE: Reinforcement Learning Environments for Active Flow Control
Mosayeb Shams, Ahmed H. Elsheikh
Active flow control (AFC) involves manipulating fluid flow over time to achieve a desired performance or efficiency. AFC, as a sequential optimisation task, can benefit from utilis…
Robust optimal well control using an adaptive multi-grid reinforcement learning framework
Atish Dixit, Ahmed H. ElSheikh
Reinforcement learning (RL) is a promising tool to solve robust optimal well control problems where the model parameters are highly uncertain, and the system is partially observabl…
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
Atish Dixit, Ahmed H. ElSheikh
We present a case study of model-free reinforcement learning (RL) framework to solve stochastic optimal control for a predefined parameter uncertainty distribution and partially ob…
Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network
Sergey Alyaev, Jan Tveranger, Kristian Fossum +1
Quantitative workflows utilizing real-time data to constrain ahead-of-bit uncertainty have the potential to improve geosteering significantly. Fast updates based on real-time data…