294 citations · 2.9k across the 83 of their papers we have counts for
14 papers · 1 filter
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification
Andrine Elsetrønning, Adil Rasheed, Jon Bekker +1
Lung sounds refer to the sound generated by air moving through the respiratory system. These sounds, as most biomedical signals, are non-linear and non-stationary. A vital part of…
Physics guided machine learning using simplified theories
Suraj Pawar, Omer San, Burak Aksoylu +2
Recent applications of machine learning, in particular deep learning, motivate the need to address the generalizability of the statistical inference approaches in physical sciences…
Interface learning in fluid dynamics: statistical inference of closures within micro-macro coupling models
Suraj Pawar, Shady E. Ahmed, Omer San
Many complex multiphysics systems in fluid dynamics involve using solvers with varied levels of approximations in different regions of the computational domain to resolve multiple…
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Shady Ahmed, Suraj Pawar, Omer San +2
We put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements for air traffic improv…
Multifidelity Computing for Coupling Full and Reduced Order Models
Shady E. Ahmed, Omer San, Kursat Kara +2
Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering a…
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles
Simen Theie Havenstrøm, Adil Rasheed, Omer San
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 he…