Adil Rasheed
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
2020/01/01 by Adil Rasheed, Omer San, Trond Kvamsdal · 13 citations
Engineering · Decision Sciences · #Digital Transformation in Industry #Simulation Techniques and Applications
- Digital Twin: Values, Challenges and Enablers
2019/10/03 by Adil Rasheed, Omer San, Rasheed, Adil +3 · 10 citations
Computer Science · Engineering · #Digital Transformation in Industry #Engineering Education and Technology #FOS: Electrical engineering #Signal Processing (eess.SP) #Technology Assessment and Management #electronic engineering #information engineering
- Physics guided neural networks for modelling of non-linear dynamics
2022/05/13 by Haakon Robinson, Robinson, Haakon, Suraj Pawar +5 · 5 citations
Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
2020/06/16 by Eivind Meyer, Amalie Heiberg, Meyer, Eivind +5 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Maritime Navigation and Safety #Robotic Path Planning Algorithms #Robotics (cs.RO) #Underwater Vehicles and Communication Systems
- Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
2022/05/25 by Shady E. Ahmed, Ahmed, Shady E., Omer San +7 · 1 citation
Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Pattern Formation and Solitons (nlin.PS)
- Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
2022/06/07 by Sindre Stenen Blakseth, Adil Rasheed, Blakseth, Sindre Stenen +5 · 2 citations
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Nuclear reactor physics and engineering
- Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
2024/06/04 by Florian Stadtmann, Stadtmann, Florian, Adil Rasheed +1 · 1 citation
Engineering · #Oil and Gas Production Techniques #Offshore Engineering and Technologies #Reservoir Engineering and Simulation Methods
- Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
2024/11/08 by Daniel Menges, Menges, Daniel, Florian Stadtmann +5 · 1 citation
Engineering · Materials Science · #Additive Manufacturing Materials and Processes #Computer Vision and Pattern Recognition (cs.CV) #Digital Transformation in Industry #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metal Alloys Wear and Properties
- Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
2021/03/26 by Omer San, Adil Rasheed, San, Omer +3 · 1 citation
Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
- Large Language Models for Control
2025/11/01 by Adil Rasheed, Rasheed, Adil, Oscar Ravik +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Electrical engineering #Multimodal Machine Learning Applications #Systems and Control (eess.SY) #Topic Modeling #electronic engineering #information engineering