Adil Rasheed - RankMe

96 papers A 1C 1Misc 1Journal 82Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT. CoRR Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi
2026	J	`jnl`	The evolution of digital twins from reactive to agentic systems. Nat. Comput. Sci. Omer San, Adil Rasheed, Eda Bozdemir, Jun Deng
2025	J	`jnl`	Adaptive sampling using variational autoencoder and reinforcement learning. CoRR Adil Rasheed, Mikael Aleksander Jansen Shahly, Muhammad Faisal Aftab
2025	Misc	`conf`	Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection. ICASSP Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi
2025	J	`jnl`	ChronoSHAP: Revealing temporal patterns from transformers and LTSF-linear models in time series forecasting. Knowl. Based Syst. Alberto Miño Calero, Adil Rasheed, Anastasios M. Lekkas
2025	J	`jnl`	Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins. CoRR Adil Rasheed, Oscar Ravik, Omer San
2025	J	`jnl`	Large Language Models for Control. CoRR Adil Rasheed, Oscar Ravik, Omer San
2025	J	`jnl`	Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs. CoRR Mrigank Dhingra, Romit Maulik, Adil Rasheed, Omer San
2025	—	`conf`	Machine Learning Based Wind and Turbulence Prediction at Urban-Scale for Drone Operations. BDA Mandar V. Tabib, Adil Rasheed
2025	J	`jnl`	Privacy Re-Identification Attacks on Tabular GANs. Secur. Priv. Abdallah Alshantti, Adil Rasheed, Frank Westad
2025	J	`jnl`	Resource-constrained dynamic planning and model-free control in turbulent urban environments. Robotics Auton. Syst. Thomas Nakken Larsen, Mandar V. Tabib, Adil Rasheed
2025	J	`jnl`	Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection. IEEE Signal Process. Lett. Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi
2024	J	`jnl`	CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad
2024	—	`conf`	Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. CAI Daniel Menges, Adil Rasheed
2024	J	`jnl`	Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. CoRR Daniel Menges, Adil Rasheed
2024	J	`jnl`	Correlation-based outlier detection for ships' in-service datasets. J. Big Data Prateek Gupta, Adil Rasheed, Sverre Steen
2024	J	`jnl`	Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. CoRR Florian Stadtmann, Adil Rasheed
2024	J	`jnl`	Digital Twin for Autonomous Surface Vessels for Safe Maritime Navigation. CoRR Daniel Menges, Andreas Von Brandis, Adil Rasheed
2024	J	`jnl`	Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation. CoRR Daniel Menges, Adil Rasheed
2024	J	`jnl`	Digital Twin for Wind Energy: Latest updates from the NorthWind project. CoRR 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
2024	J	`jnl`	Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects. Comput. Electron. Agric. 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
2024	J	`jnl`	Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2024	J	`jnl`	Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
2024	J	`jnl`	Exploring Urban Mobility Trends using Cellular Network Data. CoRR Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth
2024	J	`jnl`	Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artif. Intell. Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed
2024	—	`conf`	Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. AIAI (3) Mandar V. Tabib, Adil Rasheed
2024	J	`jnl`	Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. CoRR Daniel Menges, Trym Tengesdal, Adil Rasheed
2024	J	`jnl`	Physics-guided federated learning as an enabler for digital twins. Expert Syst. Appl. Florian Stadtmann, Erik Rugaard Furevik, Adil Rasheed, Trond Kvamsdal
2024	J	`jnl`	Predictive Digital Twin for Condition Monitoring Using Thermal Imaging. CoRR Daniel Menges, Florian Stadtmann, Henrik Jordheim, Adil Rasheed
2024	J	`jnl`	Privacy Re-identification Attacks on Tabular GANs. CoRR Abdallah Alshantti, Adil Rasheed, Frank Westad
2024	J	`jnl`	Real-Time Predictive Condition Monitoring Using Multivariate Data. IEEE Trans. Image Process. Daniel Menges, Adil Rasheed, Harald Martens, Torbjørn Pedersen
2024	—	`conf`	Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization. CAI Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi
2024	A	`conf`	Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. ICCAD Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth, Martin Slaastuen
2024	J	`jnl`	Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. CoRR Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed
2023	J	`jnl`	A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. IEEE Access Emil Johannesen Haugstvedt, Alberto Miño Calero, Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl
2023	J	`jnl`	Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access Elias Mohammed Elfarri, Adil Rasheed, Omer San
2023	J	`jnl`	CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. CoRR Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad
2023	—	`conf`	Data Integration Framework for Virtual Reality Enabled Digital Twins. WF-IoT Florian Stadtmann, Hary Pirajan Mahalingam, Adil Rasheed
2023	J	`jnl`	Deep active learning for nonlinear system identification. CoRR Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Dirk Reinhardt, Sebastien Gros, Jan Tommy Gravdahl
2023	J	`jnl`	Deep learning assisted physics-based modeling of aluminum extraction process. Eng. Appl. Artif. Intell. Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
2023	J	`jnl`	Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 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
2023	J	`jnl`	Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR 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, John Olav Skogås
2023	J	`jnl`	Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2023	J	`jnl`	Machine Learning for enhancing Wind Field Resolution in Complex Terrain. CoRR Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
2023	J	`jnl`	Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters. CoRR Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed
2023	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2023	—	`conf`	Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. CDC Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
2023	J	`jnl`	Sparse deep neural networks for modeling aluminum electrolysis dynamics. Appl. Soft Comput. Erlend Torje Berg Lundby, Adil Rasheed, Jan Tommy Gravdahl, Ivar Johan Halvorsen
2023	J	`jnl`	Sparse neural networks with skip-connections for nonlinear system identification. CoRR Erlend Torje Berg Lundby, Haakon Robinson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
2023	J	`jnl`	Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Sensors Mohammed Ayalew Belay, Sindre Stenen Blakseth, Adil Rasheed, Pierluigi Salvo Rossi
2022	J	`jnl`	A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. CoRR Haakon Robinson, Erlend Lundby, Adil Rasheed, Jan Tommy Gravdahl
2022	—	`conf`	A receding-horizon estimation and control framework for the content sequencing problem. ECC Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin
2022	J	`jnl`	An environmental disturbance observer framework for autonomous ships. CoRR Daniel Menges, Adil Rasheed
2022	J	`jnl`	Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR Elias Mohammed Elfarri, Adil Rasheed, Omer San
2022	J	`jnl`	Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Data Processing Framework for Ship Performance Analysis. CoRR Prateek Gupta, Young-Rong Kim, Sverre Steen, Adil Rasheed
2022	J	`jnl`	Decentralized digital twins of complex dynamical systems. CoRR Omer San, Suraj Pawar, Adil Rasheed
2022	J	`jnl`	Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. CoRR Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. Neural Networks Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2022	J	`jnl`	Prospects of federated machine learning in fluid dynamics. CoRR Omer San, Suraj Pawar, Adil Rasheed
2022	J	`jnl`	Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
2022	J	`jnl`	Sparse deep neural networks for modeling aluminum electrolysis dynamics. CoRR Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
2022	C	`conf`	Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. FUSION R. Praveen Jain, Edmund Førland Brekke, Adil Rasheed
2022	J	`jnl`	Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR Omer San, Suraj Pawar, Adil Rasheed
2022	—	`conf`	Wienerization Based Control of Nonlinear Systems. ECC Håvard Bjørgan Bjørkøy, Hans Alvar Engmark, Adil Rasheed, Damiano Varagnolo
2022	—	`conf`	Wienerization of systems in nonlinear control canonical normal form. CDC Hans Alvar Engmark, Håvard Bjørgan Bjørkøy, Adil Rasheed, Damiano Varagnolo
2021	J	`jnl`	Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
2021	J	`jnl`	Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. Frontiers Robotics AI Thomas Nakken Larsen, Halvor Ødegård Teigen, Torkel Laache, Damiano Varagnolo, Adil Rasheed
2021	J	`jnl`	Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2021	J	`jnl`	Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
2021	J	`jnl`	Geometric Change Detection in Digital Twins. Digit. Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
2021	J	`jnl`	Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR Omer San, Adil Rasheed, Trond Kvamsdal
2021	—	`conf`	Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. INTAP Mandar V. Tabib, Jon Kåre Stene, Adil Rasheed, Ove Langeland, Frants Gundersen
2021	J	`jnl`	Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu
2021	J	`jnl`	Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
2021	J	`jnl`	Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering. Frontiers Artif. Intell. Abdallah Alshantti, Adil Rasheed
2021	J	`jnl`	Ship Performance Monitoring using Machine-learning. CoRR Prateek Gupta, Adil Rasheed, Sverre Steen
2020	J	`jnl`	A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib
2020	J	`jnl`	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
2020	J	`jnl`	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
2020	J	`jnl`	Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI Simen Theie Havenstrøm, Adil Rasheed, Omer San
2020	J	`jnl`	Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR Simen Theie Havenstrøm, Adil Rasheed, Omer San
2020	J	`jnl`	Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access Adil Rasheed, Omer San, Trond Kvamsdal
2020	J	`jnl`	Interface learning of multiphysics and multiscale systems. CoRR Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed
2020	J	`jnl`	Marine life through You Only Look Once's perspective. CoRR Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
2020	J	`jnl`	On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San
2020	J	`jnl`	Physics guided machine learning using simplified theories. CoRR Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal
2020	J	`jnl`	Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San
2020	J	`jnl`	Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu
2019	J	`jnl`	Dissecting Deep Neural Networks. CoRR Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
2018	—	`conf`	Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. ICANN (1) Mandar V. Tabib, Ole Martin Løvvik, Kjetil André Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad