Analysis and evaluation of feature selection and feature extraction methods

RE Nogales, ME Benalcázar - International Journal of Computational …, 2023 - Springer
Hand gestures are widely used in human-to-human and human-to-machine communication.
Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is …

Forward feature selection for toxic speech classification using support vector machine and random forest

AB Gumelar, A Yogatama, DP Adi… - … Journal of Artificial …, 2022 - search.proquest.com
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 …

[PDF][PDF] Two Stages Outlier Removal as Pre-processing Digitizer Data on Fine Motor Skills (FMS) Classification Using Covariance Estimator and Isolation Forest.

NZ Fanani, AG Sooai, FY Rahmanawati… - International Journal of …, 2021 - inass.org
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 …

Immersive hand gesture for virtual museum using leap motion sensor based on k-nearest neighbor

S Sumpeno, IGA Dharmayasa… - 2019 International …, 2019 - ieeexplore.ieee.org
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 …

Image Classification of Decapterus Macarellus Using Ridge Regression

CY Jerandu, AH Mondolang… - … on Education and …, 2022 - ieeexplore.ieee.org
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 …

Integrating System Dynamics and Random Forest Algorithm for Sales Forecasting

NMR Mamulak, E Suryani… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This study proposes an approach to improve sales forecasting accuracy by integrating
System Dynamics (SD) modeling with the Random Forest (RF) algorithm. The combination …

Analysis of Feature Selection Methods for Hand Gestures Recognition Based on Machine Learning and the Leap Motion Controller

R Nogales, ME Benalcázar - Available at SSRN 4144162, 2022 - papers.ssrn.com
Hand gestures are widely used in communication among people or between people and
machines. Therefore, hand gesture recognition is a topic of great interest. Hand gesture …

Multisensory Culinary Image Classification based on SqueezeNet and Support Vector Machine

S Soebandhi, AG Sooai… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Food tourism can be a competitive advantage for Indonesian tourism. With diverse cultures
and ethnicities, Indonesia certainly has local culinary characteristics not found in other …

PEMODELAN WARNA PADA DATASET BARU CITRA BUNGA LANTANA CAMARA MENGGUNAKAN ALGORITMA YOLOV5

MPS Keraf, AAJ Sinlae, P Batarius - Jurnal Mnemonic, 2024 - ejournal.itn.ac.id
Lantana camara merupakan salah satu tumbuhan tropis invasif yang berpotensi sebagai
tanaman hias yang memiliki keunikan pada kelopak bunga berwarna-warni dan dapat …

[PDF][PDF] A Novel Approach on Motion Estimation for Micro-Expression Recognition Using Phase Only Correlation with All Block Search (POC-ABS).

UD Rosiani, PC Niyalatul Muna, E Mulyanto… - International Journal of …, 2020 - inass.org
Micro-expression is an expression when a person tries to held or hidden, but the leak of this
emotion still occurs in one or two areas of the face or maybe a short expression that across …