weihong1021

Seismic-Features-For-Machine-Learning

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

CNNOptimization

Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

code_ISLO_ELM

A study on swarm intelligence optimizing neural networks for workload elasticity prediction

code_OCRO_MLNN

Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization

code_OTWO_ELM

(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization

COVID-19

covidpred

Machine Learning-based prediction of COVID-19 diagnosis based on symptoms

coyote-optimisation-algorithm-COA-matlab

Coyote Optimisation Algorithm - COA

CPSOGSA-for-Multilevel-Image-Thresholding

CPSOGSA is employed to find the optimal pixels in the benchmark images

DeepLearning

DEN-ARMOEA

# Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network. Gaussian processes are widely used in surrogate-assisted evolutionary optimization of expensive problems. We propose a computationally efficient dropout neural network (EDN) to replace the Gaussian process and a new model management strategy to achieve a good balance between convergence and diversity for assisting evolutionary algorithms to solve high-dimensional multi- and many-objective expensive optimization problems. mainlydue to the ability to provide a confidence level of their outputs,making it possible to adopt principled surrogate managementmethods such as the acquisition function used in Bayesian opti-mization. Unfortunately, Gaussian processes become less practi-cal for high-dimensional multi- and many-objective optimizationas their computational complexity is cubic in the number oftraining samples. # References If you found DNN-AR-MOEA useful, we would be grateful if you cite the following reference: Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network (IEEE Transactions on Systems, Man and Cybernetics: Systems).

Diabetes-Prediction-using-ML-and-DL

DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Energy-management-hybrid-aircraft

Predictive energy management for hybrid-electric aircraft with parallel propulsion system.

EnergyManagementStrategy

A rule-based energy management strategies for hybrid vehicles using dynamic programming in Matlab

Federated-Learning

FedPSO

FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs

intelligent-decision-support-system

Cite the code using the following: DOI](https://zenodo.org/badge/latestdoi/408407105 )

IoT-EnergyManagement

Dynamic Power Management (DPM) for a Power State Machine (PSM) written in C. Image processing techniques for reducing power consumption in OLED displays. Simulation of an IoT device modeled with Simulink® and scripting with MATLAB®.

LDWPSO-CNN

Paper "Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization" Program

Machine-Learning-Toolbox

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

Matlab-GAN

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Neural-Network-Toolbox

This toolbox contains 6 types of neural networks, which is simple and easy to implement.

Optimal_energy_management_of_offshore_wind_farms-considering_overplanting_and_DTR_of_export_cables

MATLAB code and data for the paper “Optimal energy management of offshore wind farms considering the combination of overplanting and dynamic rating” in CIGRE Session, Paris, France, 2022

pso-mobileNet-malware-classification

psoCNN

Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.

Segmentation-HHO_Altruism

Based on our paper on Multi-Objective Harris Hawk's Optimization with Altruism for Unsupervised Brain MRI Segmentation

Semantic-Color-Constancy-Using-CNN

Semantic information can help CNNs to get better illuminant estimation -- a proof of concept

stochastic-optimization-of-stock-buying-selling

Find the optimal buying & selling threshold of a stock using stochastic optimization.

transformer-models

Deep Learning Transformer models in MATLAB