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TELKOMNIKA Telecommunication Computing Electronics and Control
Competent scene classification using feature fusion of pre-trained convolutional neural networks
In view of the fact that the development of convolutional neural networks
(CNN) and other deep learning techniques, scientists have become more
interested in the scene categorization of remotely acquired images as well as
other algorithms and…
(CNN) and other deep learning techniques, scientists have become more
interested in the scene categorization of remotely acquired images as well as
other algorithms and…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Suport visual details of X-ray image with plain information
The objective of content-based image retrival (CBIR) is to retrieve relevant
medical images from the medical database with reference to the query image
in a shorter span of time. All the proposed approaches are different, yet the
research goal is…
medical images from the medical database with reference to the query image
in a shorter span of time. All the proposed approaches are different, yet the
research goal is…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Solid waste classification using pyramid scene parsing network segmentation and combined features
Solid waste problem become a serious issue for the countries around the world
since the amount of generated solid waste increase annually. As an effort to
reduce and reuse of solid waste, a classification of solid waste image is needed
to support…
since the amount of generated solid waste increase annually. As an effort to
reduce and reuse of solid waste, a classification of solid waste image is needed
to support…
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
Application of neural network method for road crack detection
The study presents a road pavement crack detection system by extracting picture features then classifying them based on image features. The applied feature extraction method is the gray level co-occurrence matrices (GLCM). This method employs two…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Various and multilevel of wavelet transform for classification misalignment on induction motor with quadratic discriminant analysis
Induction motors have become a major part of the industry because of strong construction, cheap in purchasing and maintenance, high efficiency, and easy to operate. Preventive maintenance must always be carried out on all industrial equipment,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Plant species identification based on leaf venation features using SVM
The purpose of this study is to identify plant species using leaf venation
features. Leaf venation features were obtained through the extraction of leaf venation features. The leaf image segmentation was performed to obtain the binary image of the…
features. Leaf venation features were obtained through the extraction of leaf venation features. The leaf image segmentation was performed to obtain the binary image of the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Feature extraction of Jabon (Anthocephalus sp) leaf disease using discrete wavelet transform
Jabon (Anthocephalus cadamba (Roxb.) Miq) is one type of forest plants that have very rapid growth until the process of the harvest. One inhibitor is a disease that attacks the leaves in the form of spots and blight that can cause death during the…