Mahmood Taghavi
Mahmood Taghavi,
Lokukaluge Prasad Perera
:
Localized anomaly detection and recovery of marine engine data to support digital twin development in shipping
Mahmood Taghavi,
Lokukaluge Prasad Perera,
Ziaul Haque Munim
:
Dynamic Mode Decomposition-Based Approach for Digital Twin Development in Ship Performance Prediction
Mahmood Taghavi,
Lokukaluge Prasad Perera,
Sharma Charu,
Pawan Sharma,
Yufei Wang
:
Feasibility Study of Wave Energy Harvesting in Northern Norway
Mahmood Taghavi,
Lokukaluge P. Perera
:
Digital twin development for ship fuel consumption predictions using multiple model adaptive estimation with Eigensystem Realization Algorithm and Observer/Kalman Filter Identification
Mahmood Taghavi,
Lokukaluge Prasad Channa Perera
:
Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification
Mahmood Taghavi,
Lokukaluge Prasad Channa Perera
:
Singular Value Decomposition-based Multiple Model Approach towards Developing Digital Twin Applications in Ship Performance Prediction
Mahmood Taghavi,
Lokukaluge Prasad Channa Perera
:
Multiple Model Adaptive Estimation Coupled With Nonlinear Function Approximation and Gaussian Mixture Models for Predicting Fuel Consumption in Marine Engines
Mahmood Taghavi,
Lokukaluge Prasad Channa Perera
:
Data Driven Digital Twin Applications Towards Green Ship Operations
Mahmood Taghavi,
Lokukaluge Prasad Perera
:
A Data-Driven Digital Twin Framework for Vessel Performance Modeling to Quantify Ship Energy Efficiency
UiT Norges arktiske universitet 29. Oktober 2025 ARKIV
Ziaul Haque Munim,
Halvor Schøyen,
Helene Luise Sonna Krabbel,
Mahmood Taghavi,
Lokukaluge Prasad Channa Perera
:
A review of digital twins for shipping operations
2023 ARKIV
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