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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…
A Mediation Model of Intrinsic Work Motivationand Job Satisfaction To Develop Aircraft Technician Performance
The purpose of this study is to analyze the influence of training programs on technician intrinsic motivation, the influence of training programs on technician performance, intrinsic motivation is a mediating variable between …
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…
A Model of Non-ASN Employee Performance Assessment Based on the
ROC and MOORA Methods
This study aims to assess the performance of non-ASN employees at the Human Resources Development Agency (BPSDM),
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The…
East Kalimantan Province, Indonesia in order to assist organizers in determining the feasibility of extending work contracts.
The…
A MODEL OF SYNERGY OF TOURISM DESTINATION DEVELOPMENT
IN KARANGANYAR REGENCY
The objective of research was to describe many attempts taken to develop tourism
destination and to formulate a synergistic model in developing tourism destination in
Karanganyar Regency. This study was a combination of descriptive qualitative and…
destination and to formulate a synergistic model in developing tourism destination in
Karanganyar Regency. This study was a combination of descriptive qualitative and…