AARP denied any wrongdoing but agreed to the payout to end the litigation, which has been pending in federal court in ...

Abstract: Class Incremental Learning (CIL) for image classification aims to address real-world scenarios by allowing a model to learn new categories while retaining the knowledge of old categories. It ...

Changes to the National Motor Freight classification system take effect in July. What does that mean for your trucking company? You're watching CCJs 10 44, a weekly web episode that brings you the ...

Abstract: We propose a new model which called MFAAM, specifically designed for image classification. By incorporating multi-scale feature fusion and adaptive attention mechanisms, it enhances both the ...

This project involves training a machine learning model to classify images of waste materials as either recyclable or non-recyclable. Using a dataset of labeled waste images, the model is trained with ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in ...

code/artificial_intelligence/src/convolutional_neural_network/Image Classification/Image Classification with augumentation.ipynb Image Classification with ...