Frontiers

Optical linear systems framework for event sensing and computational neuromorphic imaging

Event Vision Sensors, or neuromorphic cameras, report sparse, and asynchronous image change-related data and enable microsecond-scale sensing and high dynamic range, but challenge physics-based sensor ...
Scientific Research Publishing

Estimating the Rectified Linear Unit Activation Function in Deep Learning Using the Grouping-Adjusted Median Estimator: An Evaluation of Max Pooling ()

The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in econometrics and ...
GitHub

Matrix-weighted graphs: Theory and Applications

MATLAB-SIMULINK files in the book: M. H. Trinh, H.-S. Ahn, "Matrix-weighted graphs: Theory and Applications," Lectures Notes on Control and Information Sciences, Springer - Cham, 2025 ...
Scientific Research Publishing

Robust Regression Diagnostics of Influential Observations in Linear Regression Model ()

1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 2Department of Mathematics and Statistics, Lagos State Polytechnic, Ikorodu, Lagos, Nigeria. In regression ...
Frontiers

Decoding Finger Movements from ECoG Signals Using Switching Linear Models

One of the most interesting challenges in ECoG-based Brain-Machine Interface is movement prediction. Being able to perform such a prediction paves the way to high-degree precision command for a ...
PNAS

Resolvent positive linear operators exhibit the reduction phenomenon

Edited by Joel E. Cohen, The Rockefeller University, New York, NY, and approved December 6, 2011 (received for review August 23, 2011) These results were found for finite-dimensional models. But the ...