This study describes the methods for eliminating irrelevant features in speech data to
enhance toxic speech classification accuracy and reduce the complexity of the learning …

Several methods based on the transition region have been developed in image
segmentation. Most are reported as effective methods with some limitations. Some are …

Measuring the performance of several classifiers in the modeling process, based on
datasets with certain criteria, becomes important. It used to determine which classifier is …

Pemanfaatan kecerdasan buatan untuk proses pengenalan citra telah dilakukan oleh
banyak peneliti. Salah satu bidangnya adalah mengenali penyakit pada daun anggur. Telah …

Dynamic Hand Gesture Recognition is carried out in various studies to read patterns.
Various sensors can be used to capture dynamic hand movement patterns. The results of …

The increase of the classification accuracy level has become an important problem in
machine learning especially in diverse data-set that contain the outlier data. In the data …

Virtual museum is a place where users can explore museum collection freely. In this study,
we are discussing the 3D interactions presented in a virtual museum application using hand …

Pelagic fish such as mackerel are a source of protein in Indonesia. However, there is no
decapterus macarellus as an open dataset for image processing using various classification …

Pengenalan kain tenun melalui pengolahan citra memiliki nilai tinggi dalam melestarikan
warisan budaya dan membantu dalam identifikasi dan klasifikasi produk tekstil tradisional …

Virtual reality technology can be used to support museum exhibitions. Implementation could
be in various platforms. There are many implementation options, for example in …