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Lessons learned from mesocosm experiments with curcumin: Pilot studies of a harmful algal bloom mitigation technique

Limnology and Oceanography: Methods, Volume 24, Issue 1, January 2026.
Abstract Curcumin, a natural plant product derived from Curcuma longa, was assessed as a mitigation technique against the toxic bloom‐forming dinoflagellate Karenia brevis in two mesocosm experiments taking place in 2022 and 2024. In these experiments, curcumin was applied at a dosage of 5 mg L−1 to K.
Victoria Devillier, Emily R. Hall, Cynthia A. Heil, Jessica D. Frankle, Sarah Klass, Jennifer H. Toyoda, Rich Pierce   +6 more
wiley   +1 more source

Extended Kalman Filtering of Satellite Doppler Tracking Data and IT¡¯S Application to Orbit Determination Problems

, 1995
Dong‐Kyu Kim, Kyu-Hong Choi
openalex   +1 more source

Synchronization through extended Kalman filtering

, 1999
Cruz, C., Nijmeijer, H.
openaire   +1 more source

Multi-Tap Extended Kalman Filter for a Periodic Waveform with Uncertain Frequency and Waveform Shape, and Data Dropouts

, 2019
Justin Saboury
openalex   +1 more source

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State Estimation using Extended Kalman Filter and Unscented Kalman Filter

2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), 2020
In any linear system the Kalman Filter is highly used to tracking and estimation. Extended Kalman Filter is deal nonlinear system better than Kalman Filter. But the framework of Extended Kalman Filter is not easy to draw they requires some highly numerical terms in nature.
Priya Shree Madhukar, L.B. Prasad
openaire   +2 more sources

Extended Kalman filter for extended object tracking

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this work, we present a novel method for tracking an elliptical shape approximation of an extended object based on a varying number of spatially distributed measurements. For this purpose, an explicit nonlinear measurement equation is formulated that relates the kinematic and shape parameters to a measurement by means of a multiplicative noise term.
Shishan Yang, Marcus Baum
openaire   +2 more sources

Parameter estimation of fractional‐order Hammerstein state space system based on the extended Kalman filter

International Journal of Adaptive Control and Signal Processing, 2023
This paper addresses the combined estimation issues of the parameters and states for fractional‐order Hammerstein state space systems with colored noises.
Yiqun Bi, Yan Ji
semanticscholar   +1 more source

Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter

IEEE Transactions on Instrumentation and Measurement, 2023
Accurately monitoring battery state of charge (SOC) is essential for battery system safety. However, single and open-loop combination algorithms are mainly used for SOC estimation currently, which may have the problems of low accuracy and poor ...
Xingtao Liu, Qiule Li, Li Wang, Mingqiang Lin, Ji Wu   +4 more
semanticscholar   +1 more source

Sensorless Speed Control of Synchronous Reluctance Motor Drives Based on Extended Kalman Filter and Neural Magnetic Model

IEEE transactions on industrial electronics (1982. Print), 2023
Due to their robustness and adaptability, position estimators based on the extended Kalman filter have been used in permanent magnet synchronous motors for decades.
D. Pasqualotto, Saverio Rigon, M. Zigliotto   +2 more
semanticscholar   +1 more source

Robust Estimation of Vehicle Dynamic State Using a Novel Second-Order Fault-Tolerant Extended Kalman Filter

SAE International Journal of Vehicle Dynamics Stability and NVH, 2023
The vehicle dynamic state is essential for stability control and decision-making of intelligent vehicles. However, these states cannot usually be measured directly and need to be obtained indirectly using additional estimation algorithms ...
Yan Wang, Henglai Wei, B. Hu, Chen Lv
semanticscholar   +1 more source