Browse Items (10 total)
- Collection: VOL. 17 No. 1 (2024)
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Predicting Earthquake Magnitudes in Indonesia: Exploring the Potential of the Prophet Algorithm
Research on earthquakes has been extensively conducted by previous studies using various methods and specific discussions. Similarly, research to predict the magnitude of earthquakes that will occur in the future has also been conducted. This study…
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 Dynamic-Bayesian-Network-Based Approach to Predict Immediate Future Action of an Intelligent Agent
Predicting immediate future actions taken by an intelligent agent is considered an essential problem in human-autonomy teaming (HAT) in many fields, such as industries and transportation, particularly to improve human comprehension of the agent as…
Note on Algorithmic Investigations of Juosan Puzzles
We investigate several algorithmic and mathematical aspects of the Juosan puzzle—a one-player pencil-andpaper puzzle introduced in 2014 and proven NP-complete in 2018. We introduce an optimized backtracking technique for solving this puzzle by…
Implementation Genetic Algorithm for Optimization of Kotlin Software Unit Test Case Generator
Unit testing has a significant role in software development and its impacts depend on the quality of test cases and test data used. To reduce time and effort, unit test generator systems can help automatically generate test cases and test data.…
An Alternative for Kernel SVM when Stacked with a Neural Network
Many studies stack SVM and neural network by utilzing SVM as an output layer of the neural network. However, those studies use kernel before the SVM which is unnecessary. In this study, we proposed an alternative to kernel SVM and proved why kernel…
Rethinking Smart Keyboard Layout to Aid Strong Password Creation
In an era marked by increasing digitization and the omnipresence of smartphones, the importance of robust password security cannot be overstated. With the ever-growing threat of cyberattacks, there is a pressing need for user-friendly tools that…
Improving Remote Sensing Change Detection Via Locality Induction on Feed-forward Vision Transformer
The main objective of Change Detection (CD) is to gather change information from bi-temporal remote sensing images. The recent development of the CD method uses the recently proposed Vision Transformer (ViT) backbone. Despite ViT being superior to…
Land Cover Segmentation of Multispectral Images Using U-Net and DeeplabV3+ Architecture
The application of Deep Learning has now extended to various fields, including land cover classification. Land cover classification is highly beneficial for urban planning. However, the current methods heavily rely on statistical-based applications,…
Enhancing Assault Maneuvers in Simulated Scenarios of Multiple Invader Kamikaze Drones through the Utilization of a Modified Adaptive Elforce Algorithm
The development of autonomous drone technology has led in their widespread deployment, especially in combat scenarios. One instance of this is the utilization of kamikaze drones, as seen in the Ukraine war. Autonomous defense drones have been used to…