Browse Items (14 total)
- Collection: Vol 8 No 3 (2024)
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Comparative Analysis of Recurrent Neural Network ModelsPerformance in Predicting Bitcoin Prices
Recurrent Neural Network is a Deep Learning algorithm that is commonly used to develop prediction systems. There are many variants of RNN such as RNN itself, Long Short Term Memory (LSTM), and Gated Recurrent Unit, so it is frequently debatable which…
GLCM-BasedFeature Extraction for Alpha Matting on Natural Images
The main objective of this research is to determine the optimal threshold value in the unknown region in the alpha-matting operation of natural images. Alpha-mating serves to draw matte from the image used in segmentation. The alpha value is very…
Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanismand Label Smoothing
Remote Sensing Scene Classification (RSSC) is the discrete categorization of remote sensing images into various classes of scene categories based on their image content. RSSC plays an important role in many fields, such as agriculture, land mapping,…
Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases
Heart disease is a majorproblem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data have collaborated with information technology such as…
Comparative Analysis ofHybrid ModelPerformanceUsing Stacking and Blending Techniques for Student Drop-OutPrediction in MOOC
Despite being in high demand as a lifelong learner and academic material supplement, the implementation of Massive Open Online Courses(MOOC) has problems, one of which is the dropout rate (DO) of students which reaches 93%. As one of the solutions to…
A Middleware Applications Design for Health Information Sharing
The interoperability between electronic health records (EHR) and electronic medical records (EMR) from various healthcare facilities for comprehensive patient care is important. However, integrating such systems, including the…
Metaheuristics Approach for Hyperparameter Tuning of Convolutional Neural Network
Deep learning is an artificial intelligence technique that has been used for various tasks. The performance of deep learning is determined by its hyperparameter, architecture as well as training (connection weight and bias). Finding the right…
Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3
The application of an electronic violation detection system has begun to be implemented in many countries by utilizing CCTV cameras installed at highway and toll road points. However, the development of a violation detection system using data in…
mplementing Continuous Integration and Deployment Strategy: Cloversy.id RESTful API Development
The software development cycle involves testing and deployment stages that can be laborious and time-consuming, especially in collaborative projects that involve several developers. Implementing Continuous Integration (CI) and Continuous Delivery…
Forecasting theStockPrice of PT Astra InternationalUsing theLSTM Method
Stocks are one of the long-term investment options and represent ownership in a company that can be acquired through buying and selling. Investment carries both profit potential and risks that must be faced by investors when they provide their…