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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’…
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 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
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 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
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
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…
A retrospective descriptive analysis of non-physician-performed prehospital endotracheal intubation practices and performance in South Africa
Introduction: Prehospital advanced airway management, including endotracheal intubation (ETI), is one of the most
commonly performed advanced life support skills. In South Africa, prehospital ETI is performed by non-physician
prehospital…
commonly performed advanced life support skills. In South Africa, prehospital ETI is performed by non-physician
prehospital…
Analysis of injuries and deaths from road trafc accidents in Iran: bivariate regression approach
Backgrounds: This study aims to estimate and compare the parameters of some univariate and bivariate count
models to identify the factors afecting the number of mortality and the number of injured in road accidents.
Methods: The accident data used…
models to identify the factors afecting the number of mortality and the number of injured in road accidents.
Methods: The accident data used…
Capillary refll time for the management of acute circulatory failure: a survey among pediatric and adult intensivists
Introduction: Recent studies have shown the prognostic value of capillary refll time (CRT) and suggested that resus‑
citation management guided by CRT may reduce morbidity and mortality in patients with septic shock. However,
little is known about…
citation management guided by CRT may reduce morbidity and mortality in patients with septic shock. However,
little is known about…