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TELKOMNIKA Telecommunication, Computing, Electronics and Control
IgG-IgM antibodies based infection time detection of COVID-19 using machine learning models
Over the last two years, most scientists have been researching the solution to the pandemic coronavirus disease 2019 (COVID-19). So, the effective inspection and the rapid diagnosis of COVID-19 provide a mitigation ability to the burden on healthcare…
Jurnal Internasional Medical Journal of Indonesia FKUI Vol. 32 No. 2 2023
Accuracy of machine learning models using ultrasound images in prostate cancer diagnosis: a systematic review (Clinical Research)
BACKGROUND In prostate cancer (PCa) diagnosis, many developed machine learning (ML) models using ultrasound images show good accuracy. This study aimed to analyze the accuracy of neural network ML models in PCa diagnosis using ultrasound images.…
TELKOMNIKA Telecommunication Computing Electronics and Control
Biomedical-named entity recognition using CUDA accelerated KNN algorithm
Biomedical named entity recognition (Bio-NER) is a highly complex and
time-consuming research domain using natural language processing (NLP).
It’s widely used in information retrieval, knowledge summarization,
biomolecular event extraction, and…
time-consuming research domain using natural language processing (NLP).
It’s widely used in information retrieval, knowledge summarization,
biomolecular event extraction, and…
TELKOMNIKA Telecommunication Computing Electronics and Control
Inverse modeling of few-mode fiber for high-speed optical communication networks
Few-mode fibers have been used in contemporary communication with
mode multiplexing and space-division-multiplexing techniques to enhance
the capacity crunch in recent communication links. The design parameters of
the proposed fiber are predicted…
mode multiplexing and space-division-multiplexing techniques to enhance
the capacity crunch in recent communication links. The design parameters of
the proposed fiber are predicted…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Insights on the internet of things: past, present, and future directions
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare,…
TELKOMNIKA Telecommunication Computing Electronics and Control
Big data classification based on improved parallel k-nearest neighbor
In response to the rapid growth of many sorts of information, highway data
has continued to evolve in the direction of big data in terms of scale, type,
and structure, exhibiting characteristics of multi-source heterogeneous data.
The k-nearest…
has continued to evolve in the direction of big data in terms of scale, type,
and structure, exhibiting characteristics of multi-source heterogeneous data.
The k-nearest…
TELKOMNIKA Telecommunication Computing Electronics and Control
An approach of cervical cancer diagnosis using class weighting and oversampling with Keras
Globally, cervical cancer caused 604,127 new cases and 341,831 deaths in
2020, according to the global cancer observatory. In addition, the number of
cervical cancer patients who have no symptoms has grown recently.
Therefore, giving patients…
2020, according to the global cancer observatory. In addition, the number of
cervical cancer patients who have no symptoms has grown recently.
Therefore, giving patients…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Hybrid features selection method using random forest and meerkat clan algorithm
In the majority of gene expression investigations, selecting relevant genes for sample classification is considered a frequent challenge, with researchers attempting to discover the minimum feasible number of genes while yet achieving excellent…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Cervical cancer diagnosis based on cytology pap smear image classification using fractional coefficient and machine learning classifiers
Doctors and pathologists have long been concerned about determining the malignancy from cell images. This task is laborious, time-consuming and needs expertise. Due to this reason, automated systems assist pathologists in providing a second opinion…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Identification of human resource analytics using machine learning algorithms
Employee attrition is one of the most significant business issues in human resource (HR) analytics. This research aims to identify the most critical elements that contribute to employee attrition. Businesses operate heavily on employee training in…