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amplitudemodulation

Modulasi amplitudo (AM) adalah proses memodulasi sinyal berfrekuensi rendah pada gelombang berfrekuensi tinggi dengan mengubah-ubah amplitudo gelombang frekuensi tinggi tanpa mengubah frekuensinya. Gelombang yang berfrekuensi rendah ini disebut isyarat pemodulasi dan yang berfrekuensi tinggi adalah pembawa.

androidgithubuser

animal_searcher

avinal

Be my SpaceTime

awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

awesome-readme

A curated list of awesome READMEs

badges

:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!

badges4-readme.md-profile

👩‍💻👨‍💻 Improve your README.md profile with these amazing badges.

bayuwira

bayuwira.github.io

contoh-laporan-mlt

Format Laporan Machine Learning Terapan

datasets

My Personal Datasets for hv fun with some algorithm

document-ranking-algorithms

INI ADALAH PROGRAM 4 ALGORITMA PERANKINGAN DOKUMEN ALGORITMA YANG DIGUNAKAN [x] Boolean Retrieval Model [x] Tf-IDF [x] Vector Space Model [x] BM25L

example-requirements

A Binder-compatible repo with a requirements.txt file

excel-simple-pivot-with-design

frequencymodulation

google-playstore-analysis

hewankita

kendang-tunggal-classification-using-backpropagation-and-onset-detection

Bali has a diversity of arts that has been recognized by the world, where one of the most famous Balinese arts is the Karawitan art, especially the Kendang Tunggal instrument. Notation documentation or more commonly known as music transcription, can make learning a song easier, and in the case of this research, it makes it easier to learn to play the Kendang Tunggal instrument. The first approach method used to document a kendang tunggal song is onset detection. Onset is when the signal experiences an attack period, which helps segment the sound color of the drum instrument. The segmented kendang tunggal sound color classification uses the Backpropagation algorithm with several features of the frequency domain and time domain as a characteristic of the sound color. Then the kendang tunggal song is revived into a synthetic sound with the Mel Spectral Approximation filter. Based on the research, the optimal parameter for drum sound color segmentation with onset detection is the hop size 110 with normalization of the features on its onset detection function. The optimal backpropagation architecture obtained with a learning rate of 0.9, neurons 10, and epoch 2000 produces an accuracy of 60.85%. The synthesis method using the Mel Log Spectrum Approximation can make synthetic sounds similar to kendang songs with an accuracy of 83.33%

knn-classification-from-scratch

This repo for Pacmann Research Scientist Take Home Test Submission

leads_injection

least-cost

Project Riset Operasi

machine-learning-scientist

mood-clustering-balinesse-song-using-spotify-api

netflix-analysis

pbofinal

finalproyek

pingponggame

Ping - Pong game menggunaka gui kivy dengan Python

praktikumweba

project-churn-for-bank-customers

reqres.in-api-test