Mandar V. Tabib

According to our database, Mandar V. Tabib authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Digital Twin for Wind Energy: Latest updates from the NorthWind project.

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

CoRR, 2024

Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process.

Mandar V. Tabib, Adil Rasheed

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Machine Learning for enhancing Wind Field Resolution in Complex Terrain.

Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn

CoRR, 2023

2021

Geometric Change Detection in Digital Twins.

Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San

Digit., June, 2021

Geometric Change Detection in Digital Twins using 3D Machine Learning.

Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San

CoRR, 2021

Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service.

Mandar V. Tabib, Jon Kåre Stene, Adil Rasheed, Ove Langeland, Frants Gundersen

Proceedings of the Intelligent Technologies and Applications, 2021

2020

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction.

Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib

CoRR, 2020

2018

Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges.

Mandar V. Tabib, Ole Martin Løvvik, Kjetil André Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018