GitHub

Convolutional Neural Network for Object Detection

This project involves implementing the forward pass of an 18-layer Convolutional Neural Network (CNN) in MATLAB for object detection. The goal is to classify 32x32x3 images into one of ten categories, ...
IEEE

Computation of a matric convolution-integral that arises in discrete-time DAC theory, and similarly in Discrete/Continuous (D/C) control theory

Abstract: In the theory and applications of, the Discrete Time version of, Disturbance-Accommodating (Rejection) Control (DAC), and also in Discrete/Continuous (D/C) Control, there arises a new, novel ...
Scientific Research Publishing

Vedaldi, A. and Lenc, K. (2015) MatConvNet—Convolutional Neural Networks for MATLAB.

ABSTRACT: Machine learning is an integral technology many people utilize in all areas of human life. It is pervasive in modern living worldwide, and has multiple usages. One application is image ...
Nature

Boundary Integral Equations and Convolution Quadrature Methods for Wave Propagation

Boundary integral equations (BIEs) have emerged as a powerful framework for modelling wave propagation, particularly in problems defined over unbounded or complex domains. By reformulating partial ...
Purdue University

Convolution integral: response to step

In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...