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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integrated bio-search approaches with multi-objective algorithms for optimization and classification problem
Optimal selection of features is very difficult and crucial to achieve,
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Transfer learning with multiple pre-trained network for fundus classification
Transfer learning (TL) is a technique of reuse and modify a pre-trained network. It reuses feature extraction layer at a pre-trained network. A target domain in TL obtains the features knowledge from the source domain. TL modified classification…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Convolutional neural network for maize leaf disease image classification
This article discusses the maize leaf disease image classification.
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…
The experimental images consist of 200 images with 4 classes: healthy,
cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks
Every organism is known to have different structural and biological system, specifically in human immunity. If the immune system weakens, the body is susceptible to disease especially pneumonia disease. Pneumonia disease is caused by the bacterium…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Prediction schizophrenia using random forest
Schizophrenia is a mental illness with a very bad impact on sufferers, attacking the part of human brain that disables the ability to think clearly. In 2018, Rustam and Rampisela classified Schizophrenia by using Northwestern University Schizophrenia…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep fingerprint classification network
Fingerprint is one of the most well-known biometrics that has been used for
personal recognition. However, faked fingerprints have become the major
enemy where they threat the security of this biometric. This paper proposes an
efficient deep…
personal recognition. However, faked fingerprints have become the major
enemy where they threat the security of this biometric. This paper proposes an
efficient deep…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Parallel classification and optimization of telco trouble ticket dataset
In the big data age, extracting applicable information using traditional machine
learning methodology is very challenging. This problem emerges from the
restricted design of existing traditional machine learning algorithms, which do
not entirely…
learning methodology is very challenging. This problem emerges from the
restricted design of existing traditional machine learning algorithms, which do
not entirely…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Roof materials identification based on pleiades spectral responses using supervised classification
The current urban environment is very dynamic and always changes both
physically and socio-economically very quickly. Monitoring urban areas is
one of the most relevant issues related to evaluating human impacts on
environmental change. Nowadays…
physically and socio-economically very quickly. Monitoring urban areas is
one of the most relevant issues related to evaluating human impacts on
environmental change. Nowadays…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Machine learning with multistage classifiers for identification of of ectoparasite infected mud crab genus Scylla
Recently, the mud-crab farming can help the rural population economically.
However, the existing parasite in the mud-crabs could interfere the long live
of the mud-crabs. Unfortunately, the parasite has been identified to live in
hundreds of…
However, the existing parasite in the mud-crabs could interfere the long live
of the mud-crabs. Unfortunately, the parasite has been identified to live in
hundreds of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An effective feature extraction method for rice leaf disease classification
Our society is getting more and more technology dependent day by day.
Nevertheless, agriculture is imperative for our survival. Rice is one of the
primary food grains. It provides sustenance to almost fifty percent of the world
population and…
Nevertheless, agriculture is imperative for our survival. Rice is one of the
primary food grains. It provides sustenance to almost fifty percent of the world
population and…