Adil Rasheed
Orcid: 0000-0003-2690-983X
According to our database1,
Adil Rasheed
authored at least 55 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels.
CoRR, 2024
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis.
IEEE Access, 2024
2023
SIAM J. Sci. Comput., June, 2023
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Sensors, March, 2023
Appl. Soft Comput., February, 2023
Eng. Appl. Artif. Intell., 2023
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters.
CoRR, 2023
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions.
CoRR, 2023
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
CoRR, 2023
CoRR, 2023
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
IEEE Access, 2023
A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics.
IEEE Access, 2023
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality.
IEEE Access, 2023
Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Neural Networks, 2022
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.
Neural Networks, 2022
Deep neural network enabled corrective source term approach to hybrid analysis and modeling.
Neural Networks, 2022
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process.
CoRR, 2022
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems.
CoRR, 2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach.
Appl. Soft Comput., 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
A receding-horizon estimation and control framework for the content sequencing problem.
Proceedings of the European Control Conference, 2022
Proceedings of the European Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering.
Frontiers Artif. Intell., 2021
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters.
Frontiers Robotics AI, 2021
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis.
Ecol. Informatics, 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution.
CoRR, 2021
Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service.
Proceedings of the Intelligent Technologies and Applications, 2021
2020
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles.
Frontiers Robotics AI, 2020
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification.
CoRR, 2020
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction.
CoRR, 2020
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles.
CoRR, 2020
IEEE Access, 2020
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning.
IEEE Access, 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning.
IEEE Access, 2020
2019
CoRR, 2019
2018
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018