Browse Items (17 total)
Sort by:
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…
Pengenalan Rambu Lalu-lintas menggunakan Convolutional Neural Network (Studi Kasus: Rambu Lalu-lintasIndonesia)
Salah satu teknologi yang digunakan untuk mengenali rambu lalu-lintas dengan pemanfaatan
pengolahan citra adalah traffic sign recognition (TSR) atau pengenalan rambu lalu-lintas. TSR
dapat diaplikasikan pada driver assistance systems (DAS), advance…
pengolahan citra adalah traffic sign recognition (TSR) atau pengenalan rambu lalu-lintas. TSR
dapat diaplikasikan pada driver assistance systems (DAS), advance…