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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Image based anthracnose and red-rust leaf disease detection using deep learning
Deep residual learning frameworks have achieved great success in image
classification. This article presents the use of transfer learning which is
applied on mango leaf image dataset for its disease’s detection. New
methodology and training have…
classification. This article presents the use of transfer learning which is
applied on mango leaf image dataset for its disease’s detection. New
methodology and training have…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Recent systematic review on student performance prediction using backpropagation algorithms
A comprehensive systematic study was carried out in order to identify various deep learning methods developed and used for predicting student academic performance. Predicting academic performance allows for the implementation of various preventive…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Evaluation of deep neural network architectures in the identification of bone fissures
Automated medical image processing, particularly of radiological images, can reduce the number of diagnostic errors, increase patient care and reduce medical costs. This paper seeks to evaluate the performance of three recent convolutional neural…