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Adil Rasheed
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2020 – today
- 2024
- [j27]Abdallah Alshantti
, Damiano Varagnolo
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access 12: 13213-13232 (2024) - [j26]Aksel Vaaler, Svein Jostein Husa, Daniel Menges
Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artif. Intell. 336: 104201 (2024) - [j25]Sondre Sørbø
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. 153: 111312 (2024) - [j24]Martin Føre
Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects. Comput. Electron. Agric. 218: 108676 (2024) - [j23]Jacob Wulff Wold
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. 137: 109167 (2024) - [j22]Florian Stadtmann
Physics-guided federated learning as an enabler for digital twins. Expert Syst. Appl. 258: 125169 (2024) - [j21]Prateek Gupta, Adil Rasheed, Sverre Steen:
Correlation-based outlier detection for ships' in-service datasets. J. Big Data 11(1): 85 (2024) - [j20]Daniel Menges
Real-Time Predictive Condition Monitoring Using Multivariate Data. IEEE Trans. Image Process. 33: 5703-5714 (2024) - [c10]Oluwaleke Yusuf
Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. ICCAD 2024: 1-6 - [c9]Mandar V. Tabib
Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. AIAI (3) 2024: 111-124 - [i43]Daniel Menges, Andreas Von Brandis, Adil Rasheed:
Digital Twin for Autonomous Surface Vessels for Safe Maritime Navigation. CoRR abs/2401.04032 (2024) - [i42]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 abs/2403.14646 (2024) - [i41]Daniel Menges, Trym Tengesdal, Adil Rasheed:
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. CoRR abs/2403.19028 (2024) - [i40]Daniel Menges, Adil Rasheed:
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. CoRR abs/2403.19721 (2024) - [i39]Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed:
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. CoRR abs/2404.00623 (2024) - [i38]Abdallah Alshantti, Adil Rasheed, Frank Westad:
Privacy Re-identification Attacks on Tabular GANs. CoRR abs/2404.00696 (2024) - [i37]Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth:
Exploring Urban Mobility Trends using Cellular Network Data. CoRR abs/2404.02173 (2024) - [i36]Florian Stadtmann, Adil Rasheed:
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. CoRR abs/2406.02775 (2024) - 2023
- [j19]Elias Mohammed Elfarri, Adil Rasheed
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access 11: 35035-35058 (2023) - [j18]Florian Stadtmann
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 11: 110762-110795 (2023) - [j17]Emil Johannesen Haugstvedt, Alberto Miño Calero
A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access 11: 131435-131452 (2023) - [j16]Erlend Torje Berg Lundby
Sparse deep neural networks for modeling aluminum electrolysis dynamics. Appl. Soft Comput. 134: 109989 (2023) - [j15]Haakon Robinson
Deep learning assisted physics-based modeling of aluminum extraction process. Eng. Appl. Artif. Intell. 125: 106623 (2023) - [j14]Mohammed Ayalew Belay
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Sensors 23(5): 2844 (2023) - [j13]Shady E. Ahmed
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. 45(3): 283-313 (2023) - [c8]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: 5506-5513 - [c7]Florian Stadtmann, Hary Pirajan Mahalingam, Adil Rasheed:
Data Integration Framework for Virtual Reality Enabled Digital Twins. WF-IoT 2023: 1-6 - [i35]Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed
Sparse neural networks with skip-connections for nonlinear system identification. CoRR abs/2301.00582 (2023) - [i34]Erlend Torje Berg Lundby, Adil Rasheed
Deep active learning for nonlinear system identification. CoRR abs/2302.12667 (2023) - [i33]Florian Stadtmann, Adil Rasheed
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR abs/2304.11405 (2023) - [i32]Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad:
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. CoRR abs/2307.00384 (2023) - [i31]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 abs/2309.10172 (2023) - [i30]Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR abs/2309.10181 (2023) - [i29]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 abs/2312.01855 (2023) - 2022
- [j12]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. 128: 109533 (2022) - [j11]Sindre Stenen Blakseth
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 146: 181-199 (2022) - [j10]Amalie Heiberg, Thomas Nakken Larsen
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152: 17-33 (2022) - [j9]Haakon Robinson
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154: 333-345 (2022) - [c6]Hans Alvar Engmark, Håvard Bjørgan Bjørkøy, Adil Rasheed
Wienerization of systems in nonlinear control canonical normal form. CDC 2022: 4485-4492 - [c5]Håvard Bjørgan Bjørkøy, Hans Alvar Engmark, Adil Rasheed
Wienerization Based Control of Nonlinear Systems. ECC 2022: 641-648 - [c4]Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed
A receding-horizon estimation and control framework for the content sequencing problem. ECC 2022: 1908-1915 - [c3]R. Praveen Jain, Edmund Førland Brekke, Adil Rasheed:
Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. FUSION 2022: 1-6 - [i28]Prateek Gupta, Young-Rong Kim, Sverre Steen, Adil Rasheed:
Data Processing Framework for Ship Performance Analysis. CoRR abs/2202.01000 (2022) - [i27]Haakon Robinson, Suraj Pawar, Adil Rasheed
Physics guided neural networks for modelling of non-linear dynamics. CoRR abs/2205.06858 (2022) - [i26]Shady E. Ahmed, Omer San
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR abs/2205.12419 (2022) - [i25]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR abs/2206.03451 (2022) - [i24]Omer San
Decentralized digital twins of complex dynamical systems. CoRR abs/2207.12245 (2022) - [i23]Omer San
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR abs/2207.12854 (2022) - [i22]Omer San
Prospects of federated machine learning in fluid dynamics. CoRR abs/2208.07017 (2022) - [i21]Erlend Torje Berg Lundby, Adil Rasheed
Sparse deep neural networks for modeling aluminum electrolysis dynamics. CoRR abs/2209.05832 (2022) - [i20]Haakon Robinson, Erlend Lundby, Adil Rasheed
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. CoRR abs/2209.10861 (2022) - [i19]Daniel Menges, Adil Rasheed
An environmental disturbance observer framework for autonomous ships. CoRR abs/2211.08360 (2022) - [i18]Elias Mohammed Elfarri, Adil Rasheed
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR abs/2212.07102 (2022) - 2021
- [j8]Tiril Sundby, Julia Maria Graham, Adil Rasheed
Geometric Change Detection in Digital Twins. Digit. 1(2): 111-129 (2021) - [j7]Herman Stavelin, Adil Rasheed
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics 62: 101269 (2021) - [j6]Thomas Nakken Larsen, Halvor Ødegård Teigen, Torkel Laache, Damiano Varagnolo
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. Frontiers Robotics AI 8: 738113 (2021) - [j5]Abdallah Alshantti, Adil Rasheed
Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering. Frontiers Artif. Intell. 4: 761925 (2021) - [c2]Mandar V. Tabib
Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. INTAP 2021: 419-432 - [i17]Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San:
Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR abs/2103.08201 (2021) - [i16]Omer San, Adil Rasheed, Trond Kvamsdal:
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR abs/2103.14629 (2021) - [i15]Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR abs/2105.11521 (2021) - [i14]Prateek Gupta, Adil Rasheed, Sverre Steen:
Ship Performance Monitoring using Machine-learning. CoRR abs/2110.03594 (2021) - [i13]Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu:
Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR abs/2110.08295 (2021) - [i12]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 abs/2112.00115 (2021) - 2020
- [j4]Adil Rasheed
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access 8: 21980-22012 (2020) - [j3]Eivind Meyer, Haakon Robinson, Adil Rasheed
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access 8: 41466-41481 (2020) - [j2]Eivind Meyer, Amalie Heiberg, Adil Rasheed
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access 8: 165344-165364 (2020) - [j1]Simen Theie Havenstrøm, Adil Rasheed
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI 7: 566037 (2020) - [i11]Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San:
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR abs/2002.01022 (2020) - [i10]Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes:
Marine life through You Only Look Once's perspective. CoRR abs/2003.00836 (2020) - [i9]Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San:
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR abs/2006.09540 (2020) - [i8]Simen Theie Havenstrøm, Adil Rasheed, Omer San:
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR abs/2006.09792 (2020) - [i7]Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed:
Interface learning of multiphysics and multiscale systems. CoRR abs/2006.10112 (2020) - [i6]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 abs/2008.03157 (2020) - [i5]Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San:
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR abs/2012.11759 (2020) - [i4]Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal:
Physics guided machine learning using simplified theories. CoRR abs/2012.13343 (2020)
2010 – 2019
- 2019
- [i3]Sk. Mashfiqur Rahman, Suraj Pawar
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR abs/1906.11617 (2019) - [i2]Haakon Robinson, Adil Rasheed, Omer San:
Dissecting Deep Neural Networks. CoRR abs/1910.03879 (2019) - [i1]Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San:
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR abs/1912.08578 (2019) - 2018
- [c1]Mandar V. Tabib
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. ICANN (1) 2018: 392-401
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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