Land cover classification (LCC) is a process used to categorize the earth's surface into
distinct land types. This classification is vital for environmental conservation, urban planning …

The integration of deep learning (DL) into image processing has driven transformative
advancements, enabling capabilities far beyond the reach of traditional methodologies. This …

Computational fluid dynamics (CFD) simulations for obtaining three-dimensional hypersonic
vehicle aerodynamic characteristics are resource-intensive. Deep learning offers a …

In this critical brief review, we explore the pivotal role of computer vision in wildfire detection,
following the PRISMA methodology and focusing on 35 key studies published between …

Generating accurate and contextually rich captions for images and videos is essential for
various applications, from assistive technology to content recommendation. However …

Ensuring the safe and reliable operation of underground oil pipelines is crucial to prevent
environmental disasters and maintain uninterrupted energy supply. Yet, this vast network …

To address the computational complexity and deployment challenges of traditional
convolutional neural networks in rice disease identification, this paper proposes an efficient …

This research presents the K-Pipelines dataset, a pioneering synthetic image collection
designed specifically for the classification of corrosion in oil and gas pipelines. Instead of …

Contemporary neural networks frequently encounter the challenge of catastrophic forgetting,
wherein newly acquired learning can overwrite and erase previously learned information …

Permeability prediction is a crucial aspect of investigating fluid flow capacity in porous
media, and rapidly predicting the permeability of rock thin sections aids in reservoir …