IEEE

Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors

Abstract: Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple ...
GitHub

fares279/garment-productivity-prediction

A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...
GitHub

This project is a Data Structures and Algorithms Visualization System developed using Java Swing. It visually demonstrates Stack, Queue, Linked List, and HashMap operations to ...

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IEEE

Performance Evaluation of List-sorting-based Allocation Algorithms in Few-Mode Fiber SDM Optical Networks

Abstract: Mode-Group Division Multiplexing (MGDM) in Few-Mode Fiber-based Spatial Division Multiplexing (SDM) networks offers a promising solution for current Wavelength Division Multiplexing (WDM) ...