IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
IEEE

UAV Localization Using Automatically Encoded Satellite Images With Hyperparameter Optimization Methodology and Data Augmentation

Abstract: The use of uncrewed aerial vehicles (UAVs) has grown across various fields, requiring accurate localization for efficiency. Reliance on GPS poses issues like interference and signal loss.
GitHub

Umer-Farooq-CS/CNN-CIFAR10-Classification-GPU-Optimized

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...
GitHub

Rossmann Sales Forecasting: Spec-Driven Data Science with Agentic Coding

A demonstration of how specification-driven data science combined with AI-assisted development can achieve competitive results on an established Kaggle challenge. This project forecasts daily sales ...