Browse Items (39 total)
Sort by:
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer classification using convolutional neural network-support vector machine
Cervical cancer is the second most common cancer in women worldwide,
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
and occurs when there are presences of abnormal cells in the cervix, which
continue to grow uncontrollably. In the early stages, cervical cancer
indications are not perceptible;…
High-risk diagnosis combinations in patients undergoing interhospital transfer: a retrospective observational study
Background: There is limited research on individual patient characteristics, alone or in combination, that contribute
to the higher levels of mortality in post-transfer patients. The purpose of this work is to identify signifcant combinations of…
to the higher levels of mortality in post-transfer patients. The purpose of this work is to identify signifcant combinations of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparative analysis of various machine learning algorithms for ransomware detection
Recently, the ransomware attack posed a serious threat that targets a wide range of organizations and individuals for financial gain. So, there is a real need to initiate more innovative methods that are capable of proactively detect and prevent this…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Natural language processing and machine learning based cyberbullying detection for Bangla and Romanized Bangla texts
The popularity of social media has been increasing tremendously in recent times and thus cyberbullying towards people has also increased at an alarming rate. Many cyberbullying texts can be found in the comment sections of many well-known Bangladeshi…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
New prediction method for data spreading in social networks based on machine learning algorithm
Information diffusion prediction is the study of the path of dissemination of news, information, or topics in a structured data such as a graph. Research in this area is focused on two goals, tracing the information diffusion path and finding the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Online traffic classification for malicious flows using efficient machine learning techniques
The rapid network technology growth causing various network problems,
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
attacks are becoming more sophisticated than defenses. In this paper, we
proposed traffic classification by using machine learning technique, and
statistical flow features…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A machine learning approach for the recognition of melanoma skin cancer on macroscopic images
In the last years, computer vision systems for the detection of skin cancer have been
proposed, especially using machine learning techniques for the classification of the
disease and features based on the ABCD dermatology criterion, which gives…
proposed, especially using machine learning techniques for the classification of the
disease and features based on the ABCD dermatology criterion, which gives…
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
Machine learning based lightweight interference mitigation scheme for wireless sensor network
The interference issue is most vibrant on low-powered networks like wireless sensor network (WSN). In some cases, the heavy interference on WSN from different technologies and devices result in life threatening situations. In this paper, a machine…
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,…