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Virtual Reality and Augmented Reality in Sign Language Recognition: A Review of Current Approaches
This paper delivers a critical and comprehensive review of the current approaches to Sign Language Recognition (SLR) using Virtual Reality (VR) and Augmented Reality (AR) technologies. The problem lies in traditional SLR…
FakeNewsDetectioninHealthDomainUsing Transformer Models
The rise of fake news in the health sector poses a serious threat to public well-being and accurate health communication.Thisstudyinvestigatestheeffectivenessof transformermodels, particularlyBERT(Bidirectional Encoder …
Prediction of Peak Ground Acceleration (PGA) in Java Using Artificial Neural Network Method
Java is one of the islands in Indonesia that frequently experiences earthquakes. Earthquakes can cause significant ground motion that can damage buildings and threaten human life. Peak Ground Acceleration (PGA) is a measure of the maximum …
Analysis of the Application of Linear Interpolation and Quadratic Interpolation in Electrical Distribution Performance
The electricity distribution network is an important component that distributes electricity from substations to end consumers. Monitoring voltage across the network is critical, but direct measurement at all points is often impractical…
EstablishingCNNfor Network Intrusion Detection: A Comparative Approach
Intrusion detection plays an important role in protecting systems from various threats. However, as intrusion techniques become more sophisticated, traditional detection methods have shown limitations in identifying new attacks. This …
Stock Price Prediction in Indonesia's Mining Sector Using a Hybrid Conv1D-LSTM Model
In the investment world, the ability to predict stock price movements is a key factor for success among investors and analysts. This study introduces a novel approach for forecasting stock prices in Indonesia's mining sector using a hybrid …
Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and EfficientNet
Brain tumors have become a leading cause of mortality worldwide. Detecting and classifying brain tumors accurately at the initial stages is challenging due to their complex and varying structure. In this study, an improved fine-tuned model …
Line Crossing Detector System for Real-TimeOver-Taking Vehicle Detection
This study introduces a novel method for detecting overtaking vehicles by integrating Virtual Line Detection with the YOLOv8n algorithm. The objective is to enhance road safety by accurately identifying and tracking …
Enhancing Mental Health Disorders Classification UsingConvolutional Variational Autoencoder
This research investigates the application of Convolutional Variational Autoencoder (CVAE) for multi-class classification of mental health disorders. The study utilizes a diverse dataset comprising five classes: Normal, Anxiety, Depression,…
A Comparative Study of Detecting Twitter Spam using Deep Learning
AbstractThis study addresses the escalating challenge of Twitter spam detection by leveraging the power of Convolutional Neural Networks (CNNs). With the proliferation of spam content on social media platforms, traditional machine…