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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Approximation of regression-based fault minimization for network traffic
This research associates three distinct approaches for computer network traffic prediction. They are the traditional stochastic gradient descent (SGD) using a few random samplings instead of the complete dataset for each iterative calculation, the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep fingerprint classification network
Fingerprint is one of the most well-known biometrics that has been used for
personal recognition. However, faked fingerprints have become the major
enemy where they threat the security of this biometric. This paper proposes an
efficient deep…
personal recognition. However, faked fingerprints have become the major
enemy where they threat the security of this biometric. This paper proposes an
efficient deep…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Bigram feature extraction and conditional random fields model to improve text classification clinical trial document
In the field of health and medicine, there is a very important term known as
clinical trials. Clinical trials are a type of activity that studies how the safest
way to treat patients is. These clinical trials are usually written in…
clinical trials. Clinical trials are a type of activity that studies how the safest
way to treat patients is. These clinical trials are usually written in…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Summarization of COVID-19 news documents deep learning-based using transformer architecture
Facing the news on the internet about the spreading of Corona virus disease
2019 (COVID-19) is challenging because it is required a long time to get
valuable information from the news. Deep learning has a significant impact on
NLP research.…
2019 (COVID-19) is challenging because it is required a long time to get
valuable information from the news. Deep learning has a significant impact on
NLP research.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Palm print verification based deep learning
In this paper, we consider a palm print characteristic which has taken wide
attentions in recent studies. We focused on palm print verification problem by
designing a deep network called a palm convolutional neural network (PCNN).
This network is…
attentions in recent studies. We focused on palm print verification problem by
designing a deep network called a palm convolutional neural network (PCNN).
This network is…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
The convolutional neural networks for Amazigh speech recognition system
In this paper, we present an approach based on convolutional neural networks
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Earprint recognition using deep learning technique
Earprint has interestingly been considered for recognition systems. It refers
to the shape of ear, where each person has a unique shape of earprint. It is a
strong biometric pattern and it can effectively be used for authentications. In
this…
to the shape of ear, where each person has a unique shape of earprint. It is a
strong biometric pattern and it can effectively be used for authentications. In
this…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Deep learning model for thorax diseases detection
Despite the availability of radiology devices in some health care centers,
thorax diseases are considered as one of the most common health problems, especially in rural areas. By exploiting the power of the Internet of things and specific platforms…
thorax diseases are considered as one of the most common health problems, especially in rural areas. By exploiting the power of the Internet of things and specific platforms…
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 2 2022
Breast Cancer Diagnosis in Women Using Neural Networks and Deep Learning
Abstract. Breast cancer is a deadly disease affecting women around the world. It can spread rapidly into other parts of the body, causing untimely death when undetected due to rapid growth and division of cells in the breast. Early diagnosis of this…
Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 2 2022
Context-Aware Sentiment Analysis using Tweet Expansion Method
Abstract. The large source of information space produced by the plethora of social media platforms in general and microblogging in particular has spawned a slew of new applications and prompted the rise and expansion of sentiment analysis research.…