Strengthening of reinforced concrete (RC) beams subjected to significant torsion is an
ongoing area of research. In addition, fiber-reinforced polymer (FRP) is the most popular …

This study aims to examine the punching shear strength of FRP-reinforced concrete slabs,
which is a complex behavior affected by several mechanisms and many variables. In this …

Over the decades' researchers have studied the image inpainting problem intensively due to
its high significance and effectiveness in various image processing applications such as …

Inpainting, for filling missing image regions, is a crucial task in various applications, such as
medical imaging and remote sensing. Trending data-driven approaches efficiency, for image …

Recent advances in multimodal artificial intelligence have greatly improved the integration of
vision-language-audio cues to enrich the content creation process. Inspired by these …

The aim of this research is to investigate the strength behavior of Fiber reinforced polymers
(FRP)-Reinforced-concrete using supervised Machine Learning (ML) techniques. Based on …

Slab–column connections with FRPs fail suddenly without warning. Machine learning (ML)
models can model the behavior with high precision and reliability. Nineteen ML algorithms …

This study aims to develop a reliable model for the two-way shear capacity of reinforced
concrete slabs with FRP reinforcements, which is a complicated problem with many effective …

One of the most difficult challenges in the area of computer vision is face inpainting which
aims to recreate obscured face images. For this objective, numerous deep learning-based …