Komputasi Penentuan Kualitas pada Fiber Optik Berdasarkan Rugi Daya dengan Gaussian Naive Bayes Menggunakan Teknologi CUDA
Abstract
Keywords
Full Text:
PDF (Bahasa Indonesia)References
A. C. P. Siregar dan D. H. Sulaksono, “Perancangan Sensor Suhu menggunakan Metode Interpolasi Lagrange Berbasis Serat Optik Berstruktur Sms (Singlemode-Multimode-Singlemode),” JEEE-U J. Electr. Electron. Eng.-UMSIDA, vol. 1, no. 2, hlm. 34–39, 2017.
L. Jiang, Z. Cai, H. Zhang, dan D. Wang, “Naive Bayes text classifiers: a locally weighted learning approach,” J. Exp. Theor. Artif. Intell., vol. 25, no. 2, hlm. 273–286, 2013.
B. Bustami, “Penerapan Algoritma Naïve Bayes Untuk Mengklasifikasi Data Nasabah Asuransi,” J. Inform., vol. 8, no. 1, 2014.
A. H. Jahromi dan M. Taheri, “A non-parametric mixture of Gaussian naive Bayes classifiers based on local independent features,” dalam 2017 Artificial Intelligence and Signal Processing Conference (AISP), 2017, hlm. 209–212.
U. W. Wijayanto dan R. Sarno, “An Experimental Study of Supervised Sentiment Analysis Using Gaussian Naïve Bayes,” dalam 2018 International Seminar on Application for Technology of Information and Communication, 2018, hlm. 476–481.
T. Mahajan dan S. Masih, “Enhancing Blowfish file encryption algorithm through parallel computing on GPU,” dalam 2015 International Conference on Computer, Communication and Control (IC4), 2015, hlm. 1–4.
NVIDIA Corporation, CUDA C Programming Guide, Version 9.1. 2018.
A. Horga, “Genetic algorithms – CPU vs GPU implementation discussion Metaheuristics course report.”
DOI: https://doi.org/10.31284/j.iptek.2018.v22i2.322
Refbacks
- There are currently no refbacks.