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Category:
data analysis
machine learning
Proyek ini bertujuan untuk mengembangkan model Convolutional Neural Network (CNN) untuk melakukan klasifikasi gambar. Model ini dirancang untuk mengenali berbagai kategori gambar dengan akurasi tinggi.
Source code: https://github.com/gofhilman/cnn-classification
Category:
data analysis
machine learning
Proyek ini bertujuan untuk mengembangkan model klasifikasi menggunakan dataset EMNIST dan gambar hasil pindai. Model ini dilatih untuk mengenali karakter dan angka dari dataset EMNIST serta gambar yang telah diproses.
Source code: https://github.com/gofhilman/classification
Category:
data analysis
machine learning
Proyek ini bertujuan untuk melakukan analisis regresi menggunakan dataset yang tersedia. Analisis regresi digunakan untuk memprediksi nilai berdasarkan hubungan antara variabel independen dan dependen.
Source code: https://github.com/gofhilman/regression
Category:
tool
data analysis
simulation
A computational study exploring how different particle configurations affect optical scattering characteristics. This project uses Multiple Sphere T-Matrix (MSTM) method to simulate light interaction with spherical aggregates, enabling precise analysis of extinction spectra and scattering behavior. The simulations provide insight into how structural geometry influences optical response, with potential applications in nanophotonics and material science.
Source code: https://github.com/gofhilman/mstm
Category:
tool
data analysis
A MATLAB-based program designed to analyze raw ferromagnetic resonance (FMR) measurement data with precision and flexibility. The fmr-analysis program is tailored for researchers and engineers working with ferromagnetic materials. It provides tools to process, visualize, and interpret FMR measurement data, enabling users to extract meaningful insights efficiently. The program is designed to handle large datasets and offers customizable analysis workflows to suit diverse experimental setups.
Source code: https://github.com/gofhilman/fmr-analysis
