Adil Rasheed

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 79

Top Topics

Autonomous Underwater Vehicle

Collision Avoidance

Reinforcement Learning

Top Venues

Appl. Soft Comput.

Neural Networks

Publications

Florian Stadtmann, Erik Rugaard Furevik, Adil Rasheed, Trond Kvamsdal
Physics-guided federated learning as an enabler for digital twins. Expert Syst. Appl. 258 (2024)
Prateek Gupta, Adil Rasheed, Sverre Steen
Correlation-based outlier detection for ships' in-service datasets. J. Big Data 11 (1) (2024)
Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth, Martin Slaastuen
Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. ICCAD (2024)
Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access 12 (2024)
Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth
Exploring Urban Mobility Trends using Cellular Network Data. CoRR (2024)
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. 153 (2024)
Daniel Menges, Adil Rasheed
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. CoRR (2024)
Daniel Menges, Andreas Von Brandis, Adil Rasheed
Digital Twin for Autonomous Surface Vessels for Safe Maritime Navigation. CoRR (2024)
Adil Rasheed, Florian Stadtmann, Eivind Fonn, Mandar V. Tabib, Vasileios Tsiolakis, Balram Panjwani, Kjetil André Johannessen, Trond Kvamsdal, Omer San, John Olav Giæver Tande, Idar Barstad, Tore Christiansen, Elling Rishoff, Lars Frøyd, Tore Rasmussen
Digital Twin for Wind Energy: Latest updates from the NorthWind project. CoRR (2024)
Mandar V. Tabib, Adil Rasheed
Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. AIAI (3) (2024)
Florian Stadtmann, Adil Rasheed
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. CoRR (2024)
Daniel Menges, Trym Tengesdal, Adil Rasheed
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. CoRR (2024)
Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. CoRR (2024)
Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed
Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artif. Intell. 336 (2024)
Martin Føre, Morten Omholt Alver, Jo Arve Alfredsen, Adil Rasheed, Thor Hukkelås, Hans V. Bjelland, Biao Su, Sveinung Johan Ohrem, Eleni Kelasidi, Tomas Norton, Nikos Papandroulakis
Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects. Comput. Electron. Agric. 218 (2024)
Abdallah Alshantti, Adil Rasheed, Frank Westad
Privacy Re-identification Attacks on Tabular GANs. CoRR (2024)
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. 137 (2024)
Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl, Ivar Johan Halvorsen
Sparse deep neural networks for modeling aluminum electrolysis dynamics. Appl. Soft Comput. 134 (2023)
Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Dirk Reinhardt, Sebastien Gros, Jan Tommy Gravdahl
Deep active learning for nonlinear system identification. CoRR (2023)
Florian Stadtman, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, John Olav Skogås
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR (2023)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. 45 (3) (2023)
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR (2023)
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, Francesco Scibilia, John Olav Skogås
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 11 (2023)
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
Machine Learning for enhancing Wind Field Resolution in Complex Terrain. CoRR (2023)
Emil Johannesen Haugstvedt, Alberto Miño Calero, Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl
A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access 11 (2023)
Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
Deep learning assisted physics-based modeling of aluminum extraction process. Eng. Appl. Artif. Intell. 125 (2023)
Elias Mohammed Elfarri, Adil Rasheed, Omer San
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access 11 (2023)
Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. CDC (2023)
Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters. CoRR (2023)
Mohammed Ayalew Belay, Sindre Stenen Blakseth, Adil Rasheed, Pierluigi Salvo Rossi
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Sensors 23 (5) (2023)
Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Sparse neural networks with skip-connections for nonlinear system identification. CoRR (2023)
Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. CoRR (2023)
Florian Stadtmann, Hary Pirajan Mahalingam, Adil Rasheed
Data Integration Framework for Virtual Reality Enabled Digital Twins. WF-IoT (2023)
R. Praveen Jain, Edmund Førland Brekke, Adil Rasheed
Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. FUSION (2022)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. 128 (2022)
Daniel Menges, Adil Rasheed
An environmental disturbance observer framework for autonomous ships. CoRR (2022)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 146 (2022)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR (2022)
Håvard Bjørgan Bjørkøy, Hans Alvar Engmark, Adil Rasheed, Damiano Varagnolo
Wienerization Based Control of Nonlinear Systems. ECC (2022)
Elias Mohammed Elfarri, Adil Rasheed, Omer San
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR (2022)
Omer San, Suraj Pawar, Adil Rasheed
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR (2022)
Prateek Gupta, Young-Rong Kim, Sverre Steen, Adil Rasheed
Data Processing Framework for Ship Performance Analysis. CoRR (2022)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR (2022)
Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Sparse deep neural networks for modeling aluminum electrolysis dynamics. CoRR (2022)
Omer San, Suraj Pawar, Adil Rasheed
Decentralized digital twins of complex dynamical systems. CoRR (2022)
Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. CoRR (2022)
Riccardo Busetto, Thomas N. Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin
A receding-horizon estimation and control framework for the content sequencing problem. ECC (2022)
Omer San, Suraj Pawar, Adil Rasheed
Prospects of federated machine learning in fluid dynamics. CoRR (2022)
Hans Alvar Engmark, Håvard Bjørgan Bjørkøy, Adil Rasheed, Damiano Varagnolo
Wienerization of systems in nonlinear control canonical normal form. CDC (2022)
Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152 (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. CoRR (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154 (2022)
Mandar V. Tabib, Jon Kåre Stene, Adil Rasheed, Ove Langeland, Frants Gundersen
Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. INTAP (2021)
Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR (2021)
Abdallah Alshantti, Adil Rasheed
Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering. Frontiers Artif. Intell. 4 (2021)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu
Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR (2021)
Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
Geometric Change Detection in Digital Twins. Digit. 1 (2) (2021)
Thomas Nakken Larsen, Halvor Ødegård Teigen, Torkel Laache, Damiano Varagnolo, Adil Rasheed
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. Frontiers Robotics AI 8 (2021)
Omer San, Adil Rasheed, Trond Kvamsdal
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR (2021)
Prateek Gupta, Adil Rasheed, Sverre Steen
Ship Performance Monitoring using Machine-learning. CoRR (2021)
Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR (2021)
Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics 62 (2021)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR (2021)
Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR (2020)
Adil Rasheed, Omer San, Trond Kvamsdal
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access 8 (2020)
Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR (2020)
Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed
Interface learning of multiphysics and multiscale systems. CoRR (2020)
Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
Marine life through You Only Look Once's perspective. CoRR (2020)
Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal
Physics guided machine learning using simplified theories. CoRR (2020)
Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR (2020)
Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access 8 (2020)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access 8 (2020)
Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR (2020)
Simen Theie Havenstrøm, Adil Rasheed, Omer San
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR (2020)
Simen Theie Havenstrøm, Adil Rasheed, Omer San
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI 7 (2020)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR (2019)
Haakon Robinson, Adil Rasheed, Omer San
Dissecting Deep Neural Networks. CoRR (2019)
Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR (2019)
Mandar V. Tabib, Ole Martin Løvvik, Kjetil André Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. ICANN (1) (2018)