Browse Items (14 total)
- Collection: Vol 8 No 3 (2024)
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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…
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…
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…
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…
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…
Comparisonof Matrix Decomposition in Null Space-Based LDA Method
Problems with small sample sizesand high dimensionality are common in pattern recognition.Almost all machine learning algorithms degrade in high-dimensional data, so thatsingularities in the scatter matrices, the main problem of the …
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…
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…
Recommendation for Scrum-Based Software Development Process with Scrum at Scale: A Case Study of Software House XYZ
Software House XYZ employs Scrum as one of its software development processes. However, the company faces several challenges in the implementation of Scrum, leading to delays in their product releases. Two specific problems are the…