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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Author identification in bibliographic data using deep neural networks
Author name disambiguation (AND) is a challenging task for scholars who
mine bibliographic information for scientific knowledge. A constructive
approach for resolving name ambiguity is to use computer algorithms to
identify author names. Some…
mine bibliographic information for scientific knowledge. A constructive
approach for resolving name ambiguity is to use computer algorithms to
identify author names. Some…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Artificial intelligent techniques applied for detection COVID-19 based on chest medical imaging
One of the ways to detect coronavirus disease of 2019 (COVID-19) is X-rays, computerized tomography (CT). This paper aims to detect
COVID-19 from CT images without any user intervention. The proposed
algorithm consists of 5 stages. These stages…
COVID-19 from CT images without any user intervention. The proposed
algorithm consists of 5 stages. These stages…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying convolutional neural networks for limited-memory application
Currently, convolutional neural networks (CNN) are considered as the most
effective tool in image diagnosis and processing techniques. In this paper, we
studied and applied the modified SSDLite_MobileNetV2 and proposed a
solution to always…
effective tool in image diagnosis and processing techniques. In this paper, we
studied and applied the modified SSDLite_MobileNetV2 and proposed a
solution to always…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of model reduction for robust control of self-balancing two-wheeled bicycle
In recent years, balance control of two-wheeled bicycle has received more
attention of scientists. One difficulty of this problem is the control object is
unstable and constantly impacted by noise. To solve this problem, the authors
often use…
attention of scientists. One difficulty of this problem is the control object is
unstable and constantly impacted by noise. To solve this problem, the authors
often use…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of big data for distribution and consumption of power
The exponentially growing and tremendous collection of data stored in the
power sector, combined with the need for data analysis, has produced an
urgent need for powerful tools to extract hidden data as to effectively
distribute the power for…
power sector, combined with the need for data analysis, has produced an
urgent need for powerful tools to extract hidden data as to effectively
distribute the power for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Apodization sensor performance for TOPAS fiber Bragg grating
Optical sensors have more capabilities than electronic sensors, and therefore
provide extraordinary developments, including high sensitivity, non-
susceptibility to electromagnetic wave disturbances, small size, and
multiplexing. Furthermore,…
provide extraordinary developments, including high sensitivity, non-
susceptibility to electromagnetic wave disturbances, small size, and
multiplexing. Furthermore,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analytical determination of load resistance value for MQ-series gas sensors: MQ-6 as case study
The MQ-series gas sensors are attractive candidates in the area of gas
concentration sensing due to their high sensitivity and low cost. Even though
the sensor circuit sensitivity and sensor power dissipation level both depend
on load resistance,…
concentration sensing due to their high sensitivity and low cost. Even though
the sensor circuit sensitivity and sensor power dissipation level both depend
on load resistance,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analysis of the reliability of the components of a multiservice communication network based on the theory of fuzzy sets
The article presents the results of modeling the solution to the problem of
determining the reliability of the components of a multiservice communication
network (MCN) based on the theory of fuzzy sets. The main characteristics of
the equipment…
determining the reliability of the components of a multiservice communication
network (MCN) based on the theory of fuzzy sets. The main characteristics of
the equipment…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analysis of the influence of the ambient temperature on the
energy efficiency of solar modules by application of empirical correlations for natural convection
In this paper, the effect of the ambient temperature on photovoltaic (PV)
modules for different angles of inclinations and different intensities of the solar
radiation on the surface of PV module is considered using empirical
correlations for…
modules for different angles of inclinations and different intensities of the solar
radiation on the surface of PV module is considered using empirical
correlations for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analysis of hybrid non-linear autoregressive neural network and local smoothing technique for bandwidth slice forecast
The demand for high steady state network traffic utilization is growing
exponentially. Therefore, traffic forecasting has become essential for
powering greedy application and services such as the internet of things
(IoT) and Big data for 5G…
exponentially. Therefore, traffic forecasting has become essential for
powering greedy application and services such as the internet of things
(IoT) and Big data for 5G…