IEEE

Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis

Abstract: Heat diffusion has been widely used in brain imaging for surface fairing, mesh regularization and cortical data smoothing. Motivated by diffusion wavelets and convolutional neural networks ...
GitHub

overlap-save

MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.
GitHub

dsp-kit

MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.
C&EN

Efficient Generation of Conformer Ensembles Using Internal Coordinates and a Generative Directional Graph Convolution Neural Network

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States ...
IEEE

FPGA Based Plant Disease Identification using Convolution Neural Networks

Abstract: It is a very difficult task in agriculture to identify crop diseases in a timely and precise manner. Plant diseases are the principal causes of a significant decrease in crop production ...
Frontiers

Deep Convolutional Neural Networks for Weeds and Crops Discrimination From UAS Imagery

Weeds are among the significant factors that could harm crop yield by invading crops and smother pastures, and significantly decrease the quality of the harvested crops. Herbicides are widely used in ...
Frontiers

Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network

The accurate classification of power quality disturbance (PQD) signals is of great significance for the establishment of a real-time monitoring system of modern power grids, ensuring the safe and ...