Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation

B Lu, HC Dan, Y Zhang, Z Huang - arXiv preprint arXiv:2501.02414, 2025 - arxiv.org
Mean texture depth (MTD) is pivotal in assessing the skid resistance of asphalt pavements
and ensuring road safety. This study focuses on developing an automated system for …

[PDF][PDF] SeamCarver: LLM-Enhanced Content-Aware Image Resizing

D Liu, Y Yu, L Tan, W Wu, B Zhao, Z Li, B Lu, Y Wen - 2024 - preprints.org
This paper introduces" SeamCarver," a LLM-enhanced method that redefines image
resizing. SeamCarver addresses the limitations of traditional seam carving with static pre …

[PDF][PDF] Overview of Deep Learning Research

L Tan - 2025 - preprints.org
Deep learning, as a strong trend in the fields of machine learning and artificial intelligence,
is not only a hot topic in current academic research, but also a key force driving …

Contrastive Unsupervised Graph Neural Network in Financial Industry

I Babayaro - Journal of Economic Theory and Business …, 2024 - suaspress.org
This paper explores the application of the Contrastive Unsupervised Graph Neural Network
(CuGNN) framework in financial domains, leveraging its heterophily-based adaptive …

[PDF][PDF] Low-Carbon Power Technology Innovation: Addressing Environmental Protection, Land Use, and Community Rights

D Luo - 2024 - preprints.org
The rapid advancement of low-carbon technologies, such as wind and nuclear power,
introduces critical ethical challenges, including conflicts between environmental protection …

[PDF][PDF] Multi-Task Learning Approaches for Optimizing Prompt Recovery Integration

N Kim, S Patel, P Singh, R Mendoza, I Cruz, A Martinez - researchgate.net
Large language models (LLMs) have made strides in handling complex tasks, yet optimizing
their response mechanisms remains a challenge. This work introduces a novel framework …