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Forest and Land Fire Vulnerability Assessment and Mapping using Machine Learning Method in East Nusa Tenggara Province, Indonesia
Forest and land fires (FLF) severely damage forest ecosystems and reduce their functionality.
Predicting areas prone to fires is crucial for effective management and prevention. Machine learning
(ML) has shown potential in this field. By 2022,…
Predicting areas prone to fires is crucial for effective management and prevention. Machine learning
(ML) has shown potential in this field. By 2022,…
Transformative Insights into Corrosion Inhibition: A Machine Learning Journey from Prediction to Web-Based Application
This study focuses on the exploration and evaluation of machine learning (ML) models to analyze expired pharmaceutical data for their potential use as corrosion inhibitors. Additionally, the entire modeling process is integrated into a user-friendly…
Improving Classification Performance on Imbalance Medical Data using Generative Adversarial Network
In many real-world applications, the problem of data imbalance is a common challenge that
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement
Image enhancement as a problem-oriented process of optimizing visual appearances to provide easier-toprocess input to automated image processing techniques is an area that will consistently be a companion
to computer vision despite advances in…
to computer vision despite advances in…
The Stock Exchange Prediction using Machine Learning Techniques: A Comprehensive and Systematic Literature Review
This literature review identifies and analyzes research topic trends, types of data sets, learning
algorithm, methods improvements, and frameworks used in stock exchange prediction. A total of 81
studies were investigated, which were published…
algorithm, methods improvements, and frameworks used in stock exchange prediction. A total of 81
studies were investigated, which were published…
Brain Tumors Detection By Using Convolutional Neural Networks and Selection of Thresholds By Histogram Selection
Brain tumors in medical images have a high diversity in terms of shape and size. Some of the data found a form between the tumor tissue and normal tissue, whereas knowing the tumor’s profile and characteristics becomes a crucial part of searching. By…
MACHINE LEARNING FOR DATA CLASSIFICATION IN INDONESIA REGIONAL ELECTIONS BASED ON POLITICAL PARTIES SUPPORT
In this paper, we discuss the implementation of Machine Learning (ML) to predict the victory of
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…
In AI We Trust? Effects of Agency Locus and Transparency on Uncertainty Reduction in Human–AI Interaction
Artificial intelligence (AI) is increasingly used to make decisions for humans. Unlike traditional AI that is programmed to follow human-made rules, machine-learning AI generates rules from data. These machine-generated rules are often unintelligible…
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.…