GitHub

TINTO: Converting Tidy Data into Image for Classification with 2D CNNs

This repository contains the original implementation of TINTO, an engine for converting tabular (tidy) data into synthetic images using dimensionality reduction and convolution techniques.
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...
IEEE

Fuzzy Convolution Neural Networks for Tabular Data Classification

Abstract: Recently, convolution neural networks (CNNs) have attracted a great deal of attention due to their remarkable performance in various domains, particularly in image and text classification ...
IEEE

An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis

Abstract: Although convolution neural network (CNN) has achieved certain success in fault detection and diagnosis (FDD) tasks in the chemical engineering industry, the performance and credibility of ...
Frontiers

DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites

The NUM encoding approach maps each type of amino acid residue to an integer (Zhang Y. et al., 2019). Specifically, in the alphabet “AVLIFWMPGSTCYNQHKRDE-”, each letter from “A” to “-” is converted to ...