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Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation2022 Foundations of Data Science article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
4citations -
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation2021 arXiv (Cornell University) preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access
Truong‐Vinh Hoang, Sebastian Krumscheid, Hermann Georg Matthies, Raul F. Tempone
0citations -
Real-time Multi-Object Tracking using Adaptive Filtering and Filter Banks for Maritime Applications2021 European Control Conference (ECC) conference-paper Computer Science Target Tracking and Data Fusion in Sensor Networks
Jiaying Lin, Aravindaraja Puthiyavinayagam, Shuchen Liu, Martin Kurowski, Jan-Jöran Gehrt, René Zweigel, +1 more
4citations -
Data frame aware optimized Octomap-based dynamic object detection and removal in Mobile Laser Scanning data2023 Alexandria Engineering Journal article Environmental Science Remote Sensing and LiDAR Applications Open access
Zhenyu Liu, Peter van Oosterom, Jesús Balado, Arjen Swart, Bart Beers
10citations -
Advancing Pressure-Based Flow Rate Soft Sensors: Signal Filtering Effects and Non-Laminar Flow Rate Determination2025 Journal of Experimental and Theoretical Analyses article Engineering Flow Measurement and Analysis Open access
Faras Brumand‐Poor, Tim Kotte, Abdulaziz Hanifa, Christian Reese, Marius Hofmeister, Katharina Schmitz
3citations -
Importance sampling for rare event tracking within the ensemble Kalman filtering framework2026 White Rose Research Online (University of Leeds, The University of Sheffield, University of York) article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access
Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raul F. Tempone
0citations