Data fusion based on short-term memory Kalman filtering using intermittent-displacement and acceleration signal with a time-varying bias
A Pal, S Nagarajaiah - Mechanical Systems and Signal Processing, 2024 - Elsevier
Accurate displacement information plays a vital role in various applications from structural
health monitoring to damage detection in physical systems. Due to practical reasons …
health monitoring to damage detection in physical systems. Due to practical reasons …
Frequency response based identification of nonlinear oscillators
T Breunung, B Balachandran - Journal of Sound and Vibration, 2025 - Elsevier
Experimental modal analysis is commonly used to identify models for the vibratory behavior
of structures. This is done by conducting a set of experiments to obtain the structure's …
of structures. This is done by conducting a set of experiments to obtain the structure's …
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels
Brain-inspired deep predictive coding networks (DPCNs) effectively model and capture
video features through a bi-directional information flow, even without labels. They are based …
video features through a bi-directional information flow, even without labels. They are based …
The Kalman filter's role in optimizing fluorescence analysis
K Obaideen, Y Faroukh… - Autonomous Air and …, 2024 - spiedigitallibrary.org
This paper investigates the integration of the Kalman filter with fluorescence analysis in
biomedical imaging, a synergy that holds the promise of advancing diagnostic accuracy and …
biomedical imaging, a synergy that holds the promise of advancing diagnostic accuracy and …