Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Advanced Intelligent Systems, EarlyView.Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Normalized field autocorrelation function-based optical coherence tomography three-dimensional angiography. [PDF]
J Biomed Opt, 2019 Tang J, Erdener SE, Sunil S, Boas DA.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Blind SNR estimation for OFDM signals in cognitive radio
Tongxin xuebao, 2011 The traditional blind SNR estimation algorithms had problems of poor performance and high computation complexity for OFDM systems in cognitive radio with low signal to noise ratio(SNR)and multi-path channel conditions,in view of which a novel blind SNR ...
Ming-qian LIU +3 more
doaj
ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function. [PDF]
Sensors (Basel), 2017 Zheng J, Liu H, Liu Z, Liu QH.
europepmc +1 more source
Housing price gradients in a geography with one dominating center [PDF]
We primarily focus on explaining housing prices and predicting housing price gradients in a Norwegian region with one dominating center (Stavanger). For such a geography spatial separation can be represented in a hedonic regression equation by a function
Gitlesen, Jens Petter +2 more
core
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
Advanced Intelligent Systems, EarlyView.This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source
An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal. [PDF]
Brain Inform, 2018 Rahman MM, Chowdhury MA, Fattah SA.
europepmc +1 more source
The memory kernel of velocity autocorrelation function on a NiZr-liquid: theory and simulation [PDF]
, 2005 Achmad Benny Mutiara
openalex +1 more source