The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

This made it difficult to run these deep learning models ... image classification one step further and provides the bounding box where detected objects are located. Segmentation comes in two ...

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

In most discussions, deep learning means using ... images, the LeNet-5 network would need to be expanded to more neurons and more layers. Today’s best deep image classification models can ...

Here is our plan of action: We will learn how to classify text using deep learning and without writing code. We will practice by building a classification model ... using two categories a broader ...

An international research team has developed a novel PV fault detection method based on deep learning of ... aerial satellite images are processed using the U-net model architecture with a ...