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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,…
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…
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…
Hybrid Data Mining For Member Determination And Financing Prediction In Syariah Financing Saving And Loan Cooperatives
Syariah Financing Saving And Loan Cooperatives (KSPPS) is an Islamic financial institution aimed at people who are on the lower middle scale to lift the economy of small communities through microfinancingprograms. Problems that often occur in member…
LR-GLASSO Method for Solving Multiple Explanatory Variables of the Village Development Index
Sustainable Development Goals (SDGs) are developments that maintain sustainable improvement in society’s economic, social, and environmental welfare. Kemendes PDTT RI has issued the Village Development Index (VDI) to provide information and the…
Analyzing Reddit Data: HybridModel for Depression Sentiment using FastText Embedding
Depression, a prevalent mental condition globally, exerts a substantial influence on various aspects of human cognition, emotions, and behaviour. The alarming increase in deaths attributable to depression over the past few years…
Comparison of Madaline and Perceptron Algorithms on Classification with Quantum Computing Approach
The fundamental problem in this research is to explore a more profound understanding regarding both performance and efficiency in quantity computing. Successful implementation of algorithms in computational computing …
Enhancing Weighted Averaging for CNN Model Ensemble in Plant Diseases Image Classification
Deeplearning, especially convolutional neural networks (CNN), has gained traction in the field of image classification. In the specific case of plant diseaseclassification, improving the accuracy and reliability of image classification is paramount.…
YOLO-based Small-scaled Model for On-Shelf Availability in Retail
On-shelf availability(OSA) in the retail industry plays a very crucial role incontinuous sales. Product unavailability may lead to a bad impression on customers and reduce sales. The retailindustry may continue to develop through the rapidly…
Evaluating the Bibit App: The HEART Framework Approach in UX Design
With the rise of investment applications like Bibit in Indonesia, evaluating user experience is crucial to improveuser engagement and satisfaction. This study aims to assess the Bibit appuser experience using the HEART framework to…