Results 211 to 220 of about 32,366 (309)

Stochastic resonance phenomenon in an active low-pass filter circuit with signal-modulated trichotomous noise

, 2016
OU Jian, Zhaoxin
openalex   +1 more source

A Segmented Low-Order Bistable Stochastic Resonance Method for Fixed-Distance Target Detection in Millimeter-Wave Fuze Under Rainy Conditions. [PDF]

Sensors (Basel)
Yang B, Wu K, Guo Z, Liang Y, Hao S, Huang Z.   +5 more
europepmc   +1 more source

Long‐term prediction of epilepsy following traumatic brain injury among veterans using routine clinical data

Epilepsia, EarlyView.
Abstract Objective Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI using routine clinical data. The objective of this study was to develop and validate a machine learning approach to predict the onset of posttraumatic epilepsy (PTE) over varying time horizons ...
Mustafa Ozmen, Shashank Vadlamani, James J. Gugger, Megan Amuan, Ramon Diaz‐Arrastia, Mary Jo Pugh, Eamonn Kennedy   +6 more
wiley   +1 more source

Stochastic resonance in a realistic model for surface adsorption [PDF]

, 2012
J. Sierra, Horacio S. Wio
openalex   +1 more source

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Stochastic resonance noise modified decision solution for binary hypothesis-testing under minimax criterion. [PDF]

Heliyon
Yang T, Liu L, Xiang Y, Liu S, Zhang W.
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Center of Pressure Regularity With and Without Stochastic Resonance Stimulation in Stable and Unstable Ankles

, 2014
Stephen M. Glass, Scott E. Ross, Brent L. Arnold, Christopher K. Rhea   +3 more
openalex   +2 more sources

Stochastic resonance and noise delayed extinction in a model of two competing species [PDF]

, 2003
Davide Valenti, A. Fiasconaro, Bernardo Spagnolo   +2 more
openalex   +1 more source

ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions

Future in Educational Research, EarlyView.
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley   +1 more source