Loading dataset, call CSA for parameter optimization and classification by deep neural network are the most important commands that there are in the main file. CSA.m: The edited version of crow search ...

This repository contains code for optimizing the hyperparameters of an Artificial Neural Network (ANN) using metaheuristic optimization algorithms. The project uses the Fruits 360 dataset and explores ...

One benefit of the automation of the optimization is that testing more methods becomes easier, so expanding the combinations to include more DR, clustering, and classification methods is natural. For ...

Food crop classification and identification are crucial aspects of modern agriculture. With progression of drones or unmanned aerial vehicles (UAVs), crop detection from RGB images goes through a ...

Automatic modulation classification receives significant interest in the context of current and future wireless communication systems. Deep learning emerged as a powerful tool for modulation ...

Discover how Support Vector Machines (SVM) combined with intelligent optimization methods like PSO and GA can enhance classification accuracy. Explore GA-FSSVM and PSO-FSSVM models for feature ...

The graph below shows the total number of publications each year in Inventory Classification and Optimization Techniques. References [1] An Integrated ABC-FUCOM Model for Product Classification.

Railroad Classification Yard Optimization Publication Trend. The graph below shows the total number of publications each year in Railroad Classification Yard Optimization.