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TELKOMNIKA Telecommunication Computing Electronics and Control
Deep learning approach to DDoS attack with imbalanced data at the application layer
A distributed denial of service (DDoS) attack is where one or more computers
attack or target a server computer, by flooding internet traffic to the server.
As a result, the server cannot be accessed by legitimate users. A result of this
attack…
attack or target a server computer, by flooding internet traffic to the server.
As a result, the server cannot be accessed by legitimate users. A result of this
attack…
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
Amazon products reviews classification based on machine
learning, deep learning methods and BERT
In recent times, the trend of online shopping through e-commerce stores and
websites has grown to a huge extent. Whenever a product is purchased on an
e-commerce platform, people leave their reviews about the product. These
reviews are very…
websites has grown to a huge extent. Whenever a product is purchased on an
e-commerce platform, people leave their reviews about the product. These
reviews are very…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep residual neural networks for inverse halftoning
This paper presents a simple technique to perform inverse halftoning using the deep learning framework. The proposed method inherits the usability and superiority of deep residual learning to reconstruct the halftone image into the continuous-tone…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection
In conventional monitoring of human behavior in forest protection, deep
learning approaches can be detected human behavior significantly since
thousands of visitors’ forest protection is abnormal and normal behaviors coming to national or rural…
learning approaches can be detected human behavior significantly since
thousands of visitors’ forest protection is abnormal and normal behaviors coming to national or rural…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
LPCNN: convolutional neural network for link prediction based on network structured features
In a social network (SN), link prediction (LP) is the process of estimating
whether a link will exist in the future. In prior LP papers, heuristics score
techniques were used. Recent state-of-the-art studies, like Wesfeiler-Lehman neural machine…
whether a link will exist in the future. In prior LP papers, heuristics score
techniques were used. Recent state-of-the-art studies, like Wesfeiler-Lehman neural machine…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Official logo recognition based on multilayer convolutional neural network model
Deep learning has gained high popularity in the field of image processing
and computer vision applications due to its unique feature extraction
property. For this characteristic, deep learning networks used to solve
different issues in computer…
and computer vision applications due to its unique feature extraction
property. For this characteristic, deep learning networks used to solve
different issues in computer…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Towards more accurate and efficient human iris recognition model using deep learning technology
In this study, an end-to-end human iris recognition system is presented to automatically identify individuals for high level of security purposes.
The deep learning technology based new 2D convolutional neural network (CNN) model is introduced for…
The deep learning technology based new 2D convolutional neural network (CNN) model is introduced for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A novel fern-like lines detection using a hybrid of pre-trained convolutional neural network model and Frangi filter
Full ferning is the peak of the formation of a salt crystallization line pattern shaped like a fern tree in a woman’s saliva at the time of ovulation. The main problem in this study is how to detect the shape of the salivary ferning line patterns…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Model development for pneumonia detection from chest radiograph using transfer learning
Accurate interpretation of chest radiographs outcome in epidemiological studies facilitates the process of correctly identifying chest-related or respiratory diseases. Despite the fact that radiological results have been used in the past and is being…