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TELKOMNIKA Telecommunication, Computing, Electronics and Control
A novel design of circularly polarized pentagonal planar antenna for ISM band applications
This paper presents a new circular polarized micro-strip antenna with a
pentagonal shape radiator. The proposed antenna is designed to operate in the
industrial scientific medical (ISM) band at the frequency of 2.45GHz for
Wireless applications.…
pentagonal shape radiator. The proposed antenna is designed to operate in the
industrial scientific medical (ISM) band at the frequency of 2.45GHz for
Wireless applications.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A novel deep learning architecture for drug named entity recognition
Drug named entity recognition (DNER) becomes the prerequisite of other
medical relation extraction systems. Existing approaches to automatically
recognize drug names includes rule-based, machine learning (ML) and deep
learning (DL) techniques.…
medical relation extraction systems. Existing approaches to automatically
recognize drug names includes rule-based, machine learning (ML) and deep
learning (DL) techniques.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A novel data balancing technique via resampling majority and minority classes toward effective classification
Classification is a predictive modelling task in machine learning (ML), where the class label is determined for a specific example of predefined features. In determining handwriting characters, identifying spam, detecting disease, identifying…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A new design of UHF tag antenna for clothing identification using SRR
In this paper, we present a new antenna for radio frequency identification
(RFID) tag operating in the Moroccan ultra high frequency (UHF) band
around 868 MHz, this antenna is designed on a flexible plastic substrate of
relative permittivity 3 and…
(RFID) tag operating in the Moroccan ultra high frequency (UHF) band
around 868 MHz, this antenna is designed on a flexible plastic substrate of
relative permittivity 3 and…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A modified squirrel search algorithm for solving facility layout problems
With the huge advance in artificial intelligence and the rapid development of intelligent swarm algorithms, the exploration of facility layout problem (FLP) with its non-deterministic polynomial-time (NP-Hard) nature has gained much more attention.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A modification of fuzzy arithmetic operators for solving near-zero fully fuzzy matrix equation
Matrix equations have its own important in the field of control system engineering
particularly in the stability analysis of linear control systems and the reduction of
nonlinear control system models. There are certain conditions where the…
particularly in the stability analysis of linear control systems and the reduction of
nonlinear control system models. There are certain conditions where the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A maximum entropy classification scheme for phishing detection using parsimonious features
Over the years, electronic mail (e-mail) has been the target of several
malicious attacks. Phishing is one of the most recognizable forms of
manipulation aimed at e-mail users and usually, employs social engineering
to trick innocent users into…
malicious attacks. Phishing is one of the most recognizable forms of
manipulation aimed at e-mail users and usually, employs social engineering
to trick innocent users into…
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
A hybrid naïve Bayes based on similarity measure to optimize the mixed-data classification
In this paper, a hybrid method has been introduced to improve the
classification performance of naïve Bayes (NB) for the mixed dataset and
multi-class problems. This proposed method relies on a similarity measure
which is applied to portions that…
classification performance of naïve Bayes (NB) for the mixed dataset and
multi-class problems. This proposed method relies on a similarity measure
which is applied to portions that…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A hybrid analysis model supported by machine learning algorithm and multiple linear regression to find reasons for unemployment of programmers in Iraq
The problem of unemployment is one of the most important problems faced
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates.…
by most countries of the world, and it is one of the intractable problems in
developing countries, and in Iraq unemployment occupies great importance
due to its high rates.…