Machine learning applications based on SVM classification a review

DM Abdullah, AM Abdulazeez - Qubahan Academic Journal, 2021 - journal.qubahan.com
Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Application of an image and environmental sensor network for automated greenhouse insect pest monitoring

DJA Rustia, CE Lin, JY Chung, YJ Zhuang… - Journal of Asia-Pacific …, 2020 - Elsevier
This work presents an automated insect pest counting and environmental condition
monitoring system using integrated camera modules and an embedded system as the …

[HTML][HTML] WR-SVM model based on the margin radius approach for solving the minimum enclosing ball problem in support vector machine classification

A Rizwan, N Iqbal, R Ahmad, DH Kim - Applied Sciences, 2021 - mdpi.com
The generalization error of conventional support vector machine (SVM) depends on the ratio
of two factors; radius and margin. The traditional SVM aims to maximize margin but ignore …

A convolutional neural network for gender recognition optimizing the accuracy/speed tradeoff

A Greco, A Saggese, M Vento, V Vigilante - IEEE Access, 2020 - ieeexplore.ieee.org
Gender recognition has been among the most investigated problems in the last years;
although several contributions have been proposed, gender recognition in unconstrained …

Fusion of domain-specific and trainable features for gender recognition from face images

G Azzopardi, A Greco, A Saggese, M Vento - IEEE access, 2018 - ieeexplore.ieee.org
The popularity and the appeal of systems which are able to automatically determine the
gender from face images are growing rapidly. Such a great interest arises from the wide …

Digital signage by real-time gender recognition from face images

A Greco, A Saggese, M Vento - … on Metrology for Industry 4.0 & …, 2020 - ieeexplore.ieee.org
Digital signage is a new advertising strategy using smart multimedia screens, which carries
out the dynamic customization of the promotional content according to the customers who …

[HTML][HTML] Gender recognition in the wild: a robustness evaluation over corrupted images

A Greco, A Saggese, M Vento, V Vigilante - Journal of Ambient Intelligence …, 2021 - Springer
In the era of deep learning, the methods for gender recognition from face images achieve
remarkable performance over most of the standard datasets. However, the common …

Gender recognition from face images with trainable COSFIRE filters

G Azzopardi, A Greco, M Vento - 2016 13th IEEE international …, 2016 - ieeexplore.ieee.org
Gender recognition from face images is an important application in the fields of security,
retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters …

Klasifikasi Jenis Kelamin Wajah Bermasker Menggunakan Algoritma Supervised Learning

FD Adinata, J Arifin - Jurnal Media Informatika …, 2022 - ejurnal.stmik-budidarma.ac.id
Abstrak− Wajah manusia merupakan contoh data biometric unik yang dimiliki setiap orang.
Wajah manusia mengandung banyak informasi, diantaranya adalah bentuk wajah, warna …

Palmprint gender classification by convolutional neural network

Z Xie, Z Guo, C Qian - IET Computer Vision, 2018 - Wiley Online Library
Palmprint gender classification can revolutionise the performance of authentication systems,
reduce searching space and speed up matching rate. However, to the best of their …