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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification of heart disease based on PCG signal using CNN
Cardiovascular disease is the leading cause of death in the world, so early
detection of heart conditions is very important. Detection related to
cardiovascular disease can be conducted through the detection of heart
signals interference, one of…
detection of heart conditions is very important. Detection related to
cardiovascular disease can be conducted through the detection of heart
signals interference, one of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine
Cervical cancer is the second most common cancer in women worldwide,
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Development smart eyeglasses for visually impaired people based on you only look once
Visually impaired people are facing many problems in their life. One of
these problems is how they can find the objects in their indoor environment. This research was presented to assists visually impaired people in finding the objects in office.…
these problems is how they can find the objects in their indoor environment. This research was presented to assists visually impaired people in finding the objects in office.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification of water stress in cultured Sunagoke moss using deep learning
Water stress greatly determines plant yield as it affects plant metabolism,
photosynthesis rate, chlorophyll content index, number of leaves,
physiological, biochemical compound, and vegetative growth. The research
aimed to detect and classify…
photosynthesis rate, chlorophyll content index, number of leaves,
physiological, biochemical compound, and vegetative growth. The research
aimed to detect and classify…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Network and layer experiment using convolutional neural network for content based image retrieval work
In this study, a test will be conducted to find out how the results of
experiments on the network and layer used on the convolutional neural
network algorithm. The performance and accuracy of the retrieval process method that was tested using the…
experiments on the network and layer used on the convolutional neural
network algorithm. The performance and accuracy of the retrieval process method that was tested using the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Handwriting identification using deep convolutional neural network method
Handwriting is a unique thing that produced differently for each person.
Handwriting has a characteristic that remain the same with single writer,
so a handwriting can be used as a variable in biometric systems. Each person have a different form of…
Handwriting has a characteristic that remain the same with single writer,
so a handwriting can be used as a variable in biometric systems. Each person have a different form of…
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
Vision: a web service for face recognition using convolutional network
This paper proposes a face recognition module built as a web service.
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
The convolutional neural networks for Amazigh speech recognition system
In this paper, we present an approach based on convolutional neural networks
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…