Throughout the years, wildfires have negatively impacted ecological systems and urban
areas. Hence, reinforcing territorial risk management strategies against wildfires is essential …

Image captioning generates a human-like description for a query image, which has attracted
considerable attention recently. The most broadly utilized model for image description is an …

This study presents a comprehensive evaluation of two prominent deep learning models,
Vision Transformer (ViT) and VGG16, within the domain of image captioning for remote …

Image captioning is a task that involves generating natural language descriptions of the
content of an image, and has the potential to support healthcare providers in monitoring …

Currently, most image description models are limited in their ability to generate descriptions
that reflect personal experiences and subjective perspectives. This makes it difficult to …

This research investigates the viability of Long Short-Term Memory (LSTM) systems, a
subtype of Recurrent Neural Networks (RNNs), for picture captioning. Leveraging the MS …

Zebrafish is a popular model system for biomedical analysis, especially for compound
screening in drug research. In this paper, we present a comprehensive investigation aimed …

The image-to-text description can be indicated by creating captions for images that comply
with human language perception. Nowadays, with the speedy progress of deep learning …