Browse Items (39 total)
- Collection: Vol. 19, No. 4 2021
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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Online traffic classification for malicious flows using efficient machine learning techniques
The rapid network technology growth causing various network problems,
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
High performance binary LDPC-coded OFDM systems over indoor PLC channels
Power line communication (PLC) technology is actually among the most
renowned technologies for home environments due to their low-cost
installation opportunities. In this study, the bit error rate (BER) performances
of binary low-density parity…
renowned technologies for home environments due to their low-cost
installation opportunities. In this study, the bit error rate (BER) performances
of binary low-density parity…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Effect of random sampling on spectrum sensing for cognitive radio networks
Cognitive radio is a mechanism allowing dynamic access to spectrum
channels. Since its beginnings, researchers have been working on using this
inventive technology to control and manage the spectrum resources.
Consequently, this research field has…
channels. Since its beginnings, researchers have been working on using this
inventive technology to control and manage the spectrum resources.
Consequently, this research field has…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Construction of fuzzy radial basis function neural network model for diagnosing prostate cancer
In this paper, we propose a construction of fuzzy radial basis function neural
network model for diagnosing prostate cancer. A fuzzy radial basis function
neural network (fuzzy RBFNN) is a hybrid model of logical fuzzy and neural
network. The…
network model for diagnosing prostate cancer. A fuzzy radial basis function
neural network (fuzzy RBFNN) is a hybrid model of logical fuzzy and neural
network. The…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Enhancing text classification performance by preprocessing misspelled words in Indonesian language
Supervised learning using shallow machine learning methods is still a popular
method in processing text, despite the rapidly advancing sector of
unsupervised methodologies using deep learning. Supervised text
classification for application user…
method in processing text, despite the rapidly advancing sector of
unsupervised methodologies using deep learning. Supervised text
classification for application user…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An optimized power allocation algorithm for cognitive radio NOMA communication
The primary objective of cognitive radio network is to effectively utilize the
unused spectrum bands. In cognitive radio networks, spectrum sharing
between primary and secondary users is accomplished using either underlay
or interweave cognitive…
unused spectrum bands. In cognitive radio networks, spectrum sharing
between primary and secondary users is accomplished using either underlay
or interweave cognitive…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A machine learning approach for the recognition of melanoma skin cancer on macroscopic images
In the last years, computer vision systems for the detection of skin cancer have been
proposed, especially using machine learning techniques for the classification of the
disease and features based on the ABCD dermatology criterion, which gives…
proposed, especially using machine learning techniques for the classification of the
disease and features based on the ABCD dermatology criterion, which gives…
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
Dynamic mobile anchor path planning for underwater wireless sensor networks
In an underwater wireless sensor network (UWSN), the location of the sensor
nodes plays a significant role in the localization process. The location
information is obtained by using the known positions of anchor nodes. For
underwater environments,…
nodes plays a significant role in the localization process. The location
information is obtained by using the known positions of anchor nodes. For
underwater environments,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering
Internet of things (IoT) architecture needs to adapt autonomously to the
environment and operational to maintain their supreme services. One common
problem in the IoT architecture is to manage the reliability of data services,
such as sensors’…
environment and operational to maintain their supreme services. One common
problem in the IoT architecture is to manage the reliability of data services,
such as sensors’…