Recent computer vision and deep learning breakthroughs have improved road safety by
automatically classifying traffic signs. This research uses CNNs to classify traffic signs to …

Tomato diseases vary greatly, one of which is tomato leaf disease. Some variants of leaf
diseases include late blight, septoria leaf, yellow leaf curl virus, bacteria, mosaic virus, leaf …

In the online news space, timely content delivery has become essential due to the
unavoidable information overload. This study investigates the use of Python-based text …

Using a state-of-the-art convolutional neural network, specifically RESNET-50, for disease
diagnosis on mango leaves is the focus of this research. The end goal is to develop a …

This student graduation rate research focuses on analyzing academic performance with the
main aim of identifying and distinguishing between students who graduate on time and …

Computer vision, deep learning, and pattern recognition are just a few fields where image
data collection has become crucial. The Cycle Generative Adversarial Network has become …

This research aims to analyze public interest in Pertalite fuel using the Data Mining method,
specifically using the Neural Network method. The stages in this research include Data …

This research focuses on analyzing interview questions using a neural network model,
implemented on the CarTech website. With the main aim of optimizing the interaction …

Detection of a drowsy driver is an important aspect of driving safety. For this reason, it is
necessary to have technology to carry out early detection before fatigue occurs. Mainly …