activity
20182026
most citedEstimation and Optimization of Ship Fuel Consumption in Maritime: Review, Challenges and Future Directions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026★ 1 cited

Estimation and Optimization of Ship Fuel Consumption in Maritime: Review, Challenges and Future Directions

Dusica Marijan, Hamza Haruna Mohammed, Bakht Zaman

To reduce carbon emissions and minimize shipping costs, improving the fuel efficiency of ships is crucial. Various measures are taken to reduce the total fuel consumption of ships,…

eess.SP2020

Online Joint Topology Identification and Signal Estimation from Streams with Missing Data

Bakht Zaman, Luis Miguel Lopez Ramos, Baltasar Beferull-Lozano

Identifying the topology underlying a set of time series is useful for tasks such as prediction, denoising, and data completion. Vector autoregressive (VAR) model-based topologies…

eess.SP2020

Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies

Bakht Zaman, Luis Miguel Lopez Ramos, Baltasar Beferull-Lozano

Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for t…

eess.SP2019

Online Topology Identification from Vector Autoregressive Time Series

Bakht Zaman, Luis Miguel Lopez Ramos, Daniel Romero +1

Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multiv…

eess.SP2018

Dynamic network identification from non-stationary vector autoregressive time series

Luis M. Lopez-Ramos, Daniel Romero, Bakht Zaman +1

Learning the dynamics of complex systems features a large number of applications in data science. Graph-based modeling and inference underpins the most prominent family of approach…