Browse Items (10268 total)
Sort by:
A Helical Model for Color Harmony
Among the many approaches to the study of color harmony tried so far, a relatively recent method is to leverage the large number of human-created and ranked color palettes, such as those hosted at colourlovers.com. Analysis of these large datasets…
A high accuracy of deep learning based CNN architecture: classic, VGGNet, and RestNet50 for Covid-19 image classification
This research paper provides a detailed examination of different convolutional neural network (CNN) structures used in Covid-19 image classification tasks. The study thoroughly investigates the performance of classic CNN, visual geometry group (VGG),…
A High-Performance Data Accessing and Processing System for Campus
Real-time Power Usage
With the flourishing of Internet of Things (IoT) technology, ubiquitous power data can be linked to the Internet and be analyzed for real-time
monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time…
monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time…
A highly effective and simplified DPWM algorithm for NPC inverters for high power factor load applications
In recent years, high-power three-level neutral point clamped (NPC) inverters have significantly increased, particularly in the renewable energy sector and industries. These inverters are crucial in applications such as offshore wind farms and…
A hybrid ARIMA and DNN approach with residual learning for electric vehicle charging demand forecasting
The rapid growth of electric vehicle (EV) adoption has created significant challenges for power grid management and charging infrastructure planning. Accurate forecasting of EV charging demand is therefore essential to ensure reliable electricity…
A Hybrid Virtual Assistant for Legal Domain Based on Information Retrieval and Knowledge Graphs
Virtual assistants have gained popularity across various domains, including the legal field, where they serve to offer guidance and aid in the form of law retrieval. In this research, our aim is to develop a legal virtual assistant that combines…
A Hybrid Vision Transformer Model for Efficient Waste Classification
The rapid and accurate sorting of municipal waste is essential for efficient recycling and sustainable
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…
resource recovery. Most existing AI solutions focus only on four common materials (plastic, paper,
metal, and glass), overlooking many other…
A Lightweight 3D Convolutional Network for
Hyperspectral–LiDAR Patch Classification
We propose a simple yet effective threedimensional convolutional neural network (3D-CNN) for urban
land-cover classification using co-registered hyperspectral
imagery (HSI) and LiDAR data. The network treats the entire
spectral-LiDAR stack as a…
land-cover classification using co-registered hyperspectral
imagery (HSI) and LiDAR data. The network treats the entire
spectral-LiDAR stack as a…
A Low Computational Cost RGB Color Image Encryption Scheme Process based on PWLCM Confusion, ℤ/퐧ℤDiffusion and ECBC Avalanche Effect
In this work, three sub-processes are serially integrated into just one process in order to construct a robust new image encryption scheme for all types of images, especially color images. This integration architecture aims to create a robust…
A Machine Learning Approach to Indonesian Climate Change Sentiment
Analysis Using Naive Bayes
Climate change poses a significant global challenge, particularly for archipelagic nations such as Indonesia that are highly vulnerable to rising
temperatures and extreme weather events. This study applies machine learning-based sentiment analysis…
temperatures and extreme weather events. This study applies machine learning-based sentiment analysis…