Browse Items (5 total)
- Collection: Vol. 6 No. 1 (2024)
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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,…