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TELKOMNIKA Telecommunication Computing Electronics and Control
ResNet-n/DR: Automated diagnosis of diabetic retinopathy using a residual neural network
Diabetic retinopathy (DR) is a progressive eye disease associated with
diabetes, resulting in blindness or blurred vision. The risk of vision loss was
dramatically decreased with early diagnosis and treatment. Doctors diagnose
DR by examining the…
diabetes, resulting in blindness or blurred vision. The risk of vision loss was
dramatically decreased with early diagnosis and treatment. Doctors diagnose
DR by examining the…
TELKOMNIKA Telecommunication Computing Electronics and Control
Hybrid convolutional neural networks-support vector machine classifier with dropout for Javanese character recognition
This research paper explores the hybrid models for Javanese character
recognition using 15600 characters gathered from digital and handwritten
sources. The hybrid model combines the merit of deep learning using
convolutional neural networks (CNN)…
recognition using 15600 characters gathered from digital and handwritten
sources. The hybrid model combines the merit of deep learning using
convolutional neural networks (CNN)…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An intelligent strabismus detection method based on convolution neural network
Strabismus is one of the widespread vision disorders in which the eyes are misaligned and asymmetric. Convolutional neural networks (CNNs) are properly designed for analyzing images and detecting texture patterns. In this paper, we proposed a system…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying artificial intelligence for the application of bridges deterioration detection system
Recently, advances in sensor technologies, data communication paradigms, and data processing algorithms all affect the feasibilities of the bridges structural health monitoring and deterioration detection, and other implementations of monitoring…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
The detection of handguns from live-video in real-time based on deep learning
Many people have been killed indiscriminately by the use of handguns in
different countries. Terrorist acts, online fighting games and mentally
disturbed people are considered the common reasons for these crimes. A real-time handguns detection…
different countries. Terrorist acts, online fighting games and mentally
disturbed people are considered the common reasons for these crimes. A real-time handguns detection…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Development of video-based emotion recognition using deep learning with Google Colab
Emotion recognition using images, videos, or speech as input is considered as a hot topic in the field of research over some years. With the introduction of deep learning techniques, e.g., convolutional neural networks (CNN), applied in emotion…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification using semantic feature and machine learning: Land-use case application
Land cover classification has interested recent works especially for
deforestation, urban are monitoring and agricultural land use. Traditional
classification approaches have limited accuracy especially for non-
heterogeneous land cover. Thus,…
deforestation, urban are monitoring and agricultural land use. Traditional
classification approaches have limited accuracy especially for non-
heterogeneous land cover. Thus,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A comparative analysis of automatic deep neural networks for image retrieval
Feature descriptor and similarity measures are the two core components in
content-based image retrieval and crucial issues due to “semantic gap”
between human conceptual meaning and a machine low-level feature.
Recently, deep learning techniques…
content-based image retrieval and crucial issues due to “semantic gap”
between human conceptual meaning and a machine low-level feature.
Recently, deep learning techniques…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying convolutional neural networks for limited-memory application
Currently, convolutional neural networks (CNN) are considered as the most
effective tool in image diagnosis and processing techniques. In this paper, we
studied and applied the modified SSDLite_MobileNetV2 and proposed a
solution to always…
effective tool in image diagnosis and processing techniques. In this paper, we
studied and applied the modified SSDLite_MobileNetV2 and proposed a
solution to always…
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 1 2022
A CNN-ELM Classification Model for Automated Tomato Maturity Grading
Abstract. Tomatoes are popular around the world due to their high nutritional value. Tomatoes are also one of the world’s most widely cultivated and profitable crops. The distribution and marketing of tomatoes depend highly on their quality.…