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TELKOMNIKA Telecommunication Computing Electronics and Control
Competent scene classification using feature fusion of pre-trained convolutional neural networks
In view of the fact that the development of convolutional neural networks
(CNN) and other deep learning techniques, scientists have become more
interested in the scene categorization of remotely acquired images as well as
other algorithms and…
(CNN) and other deep learning techniques, scientists have become more
interested in the scene categorization of remotely acquired images as well as
other algorithms and…
TELKOMNIKA Telecommunication Computing Electronics and Control
Support vector machine based discrete wavelet transform for magnetic resonance imaging brain tumor classification
Here, a brain tumor classification method using the support vector machine
(SVM) algorithm by utilizing discrete wavelet transform (DWT)
transformation and feature extraction of gray-level co-occurrence matrix
(GLCM) and local binary pattern (LBP)…
(SVM) algorithm by utilizing discrete wavelet transform (DWT)
transformation and feature extraction of gray-level co-occurrence matrix
(GLCM) and local binary pattern (LBP)…
TELKOMNIKA Telecommunication Computing Electronics and Control
Digital transformation for shipping container terminals using automated container code recognition
Due to the sweeping waves of global industry development, the number of
containers passing through terminal ports increases every day. Therefore, it
is essential to automate the identification process for the container codes to
replace the manual…
containers passing through terminal ports increases every day. Therefore, it
is essential to automate the identification process for the container codes to
replace the manual…
TELKOMNIKA Telecommunication Computing Electronics and Control
Hybrid convolutional neural networks-support vector machine classifier with dropout for Javanese character recognition
This research paper explores the hybrid models for Javanese character
recognition using 15600 characters gathered from digital and handwritten
sources. The hybrid model combines the merit of deep learning using
convolutional neural networks (CNN)…
recognition using 15600 characters gathered from digital and handwritten
sources. The hybrid model combines the merit of deep learning using
convolutional neural networks (CNN)…
TELKOMNIKA Telecommunication Computing Electronics and Control
A comparison of different support vector machine kernels for artificial speech detection
As the emergence of the voice biometric provides enhanced security and
convenience, voice biometric-based applications such as speaker verification
were gradually replacing the authentication techniques that were less secure.
However, the…
convenience, voice biometric-based applications such as speaker verification
were gradually replacing the authentication techniques that were less secure.
However, the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine
Cervical cancer is the second most common cancer in women worldwide,
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparative study of standalone classifier and ensemble classifier
Ensemble learning is one of machine learning method that can solve
performance measurement problem. Standalone classifiers often show a poor
performance result, thus why combining them with ensemble methods can
improve their performance scores.…
performance measurement problem. Standalone classifiers often show a poor
performance result, thus why combining them with ensemble methods can
improve their performance scores.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An automatic screening approach for obstructive sleep apnea from photoplethysmograph using machine learning techniques
Obstructive sleep apnea (OSA), a very common sleep disorder remains as an
underdiagnosed root cause for several cardiovascular and cerebrovascular
diseases. In this paper, we propose an efficient and accurate system that
utilizes a single sensor…
underdiagnosed root cause for several cardiovascular and cerebrovascular
diseases. In this paper, we propose an efficient and accurate system that
utilizes a single sensor…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Face recognition based on curvelets, invariant moments features and SVM
Recent studies highlighted on face recognition methods. In this paper, a new algorithm is proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), which improves rate…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm
A crucial part of the brain-computer interface is a classification of
electroencephalography (EEG) motor tasks. Artifacts such as eye and muscle
movements corrupt EEG signal and reduce the classification performance.
Many studies try to extract…
electroencephalography (EEG) motor tasks. Artifacts such as eye and muscle
movements corrupt EEG signal and reduce the classification performance.
Many studies try to extract…