In recent times, deep learning has emerged as a great resource to help research in medical
sciences. A lot of work has been done with the help of computer science to expose and …

In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning
(DL), are widely used for various computer vision tasks such as image classification, object …

Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming
remote sensing applications. However, for artificial-intelligence-guided tasks, such as land …

Significant strides have been made using large vision-language models, like Stable
Diffusion (SD), for a variety of downstream tasks, including image editing, image …

Check dams are widely used on the Loess Plateau of China to control soil and water loss,
develop agricultural land and improve watershed ecology. Detailed information on the …

Slender flexible objects are ubiquitous in real-world circumstances. The existing object
detection and segmentation algorithms have achieved high accuracy and speed in rigid …

The most common cause of mortality and disability globally right now is
cholangiocarcinoma, one of the worst forms of cancer that may affect people. When …

Travel online reviews is important experience related information for understanding an
inherent personality trait, novelty seeking (NS), which influences tourism motivation and the …

The traditional SegNet architecture commonly encounters significant information loss during
the sampling process, which detrimentally affects its accuracy in image semantic …

The commonly-used method of bolting, used to secure parts of apparatus together, relies on
the bolts having a sufficient preload force in order to the ensure mechanical strength. Failing …