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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…
Kombinasi Metode Sampling pada Pengklasifikasian Data Tidak Seimbang Menggunakan Algoritma Support Vector Machine (SVM)
Kelas tidak seimbang telah menjadi masalah pada pembelajaran mesin dan data
mining selama beberapa tahun ini. Kelas tidak seimbang adalah kelas yang
memiliki data yang tidak terdistribusi secara merata pada setiap kelasnya
dimana terdapat satu…
mining selama beberapa tahun ini. Kelas tidak seimbang adalah kelas yang
memiliki data yang tidak terdistribusi secara merata pada setiap kelasnya
dimana terdapat satu…