Aggregate gradation plays a crucial role in determining the asphalt pavement performance,
necessitating assessment post-construction. Additionally, efficient gradation measurement is …

This study explores innovative methods for improving Visual Question Answering (VQA)
using Generative Adversarial Networks (GANs), autoencoders, and attention mechanisms …

In the ever-evolving landscape of social network advertising, the volume and accuracy of
data play a critical role in the performance of predictive models. However, the development …

StackOverflow, with its vast question repository and limited labeled examples, raise an
annotation challenge for us. We address this gap by proposing RoBERTa+ MAML, a few …

Large language models (LLMs) have demonstrated remarkable abilities in natural language
processing. However, their deployment on resource-constrained embedded devices …

Domain adaptation is pivotal for enabling deep learning models to generalize across
diverse domains, a task complicated by variations in presentation and cognitive nuances. In …

Network alignment is the task of establishing one-to-one correspondences between the
nodes of different graphs and finds a plethora of applications in high-impact domains …

Real-time object tracking necessitates a delicate balance between speed and accuracy, a
challenge exacerbated by the computational demands of deep learning methods. In this …

Abstract Recent advancements in Large Language Models (LLMs) have showcased
exceptional performance in zero-shot learning and reasoning tasks. However, integrating …

This article compares two style transfer methods in image processing: the traditional method,
which synthesizes new images by stitching together small patches from existing pattern …