16 citations · 20 across the 5 of their papers we have counts for
5 papers
The object detection model uses combined extraction with KNN and RF classification
Florentina Tatrin Kurniati, Daniel HF Manongga, Irwan Sembiring +2
Object detection plays an important role in various fields. Developing detection models for 2D objects that experience rotation and texture variations is a challenge. In this resea…
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds…
Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the field of object classification, identification based on object variations is a challenge in itself. Variations include shape, size, color, and texture, these can cause probl…
Feature extraction with mel scale separation method on noise audio recordings
Roy Rudolf Huizen, Florentina Tatrin Kurniati
This paper focuses on improving the accuracy of noise audio recordings. High-quality audio recording, extraction using the mel frequency cepstral coefficients (MFCC) method produce…
Identification of Voice Utterance with Aging Factor Using the Method of MFCC Multichannel
Roy Rudolf Huizen, Jazi Eko Istiyanto, Agfianto Eko Putra
This research was conducted to develop a method to identify voice utterance. For voice utterance that encounters change caused by aging factor, with the interval of 10 to 25 years.…