From spam detection to medical diagnosis, XGBoost dominates classification challenges across every industry. Discover why this algorithm consistently outperforms competitors and how you can leverage ...

Traffic classification is a crucial technique in network management that aims to identify and manage data packets to optimize network efficiency, ensure quality of service, enhance network security, ...

There is a need in particular for an overview of types, classification, and characterization of nanomaterials (NMs). These nanostructured materials display unique features such as excellent physical ...

Imbalanced data classification is a challenging task in real applications. In this work. A method is proposed for image classification using imbalanced distribution of classes. The proposed method ...

Abstract: Classification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to ...

In today's world of rapidly advancing technology, image classification has become a fundamental aspect of many applications, from identifying objects in photos to analyzing images for various purposes ...

This project explores image classification using CNNs on the CIFAR-10 dataset. It optimizes CNN architecture for high accuracy, showcasing its efficacy in diverse real-world applications. This project ...

An AI-based web application using a ResNet101 deep learning model to classify chest X-rays as Normal or Pneumonia. The system helps in early detection of pneumonia by providing accurate and instant ...