Výsledky vyhledávání

Report

DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models

Autor: Yin, Zhenyu, Liu, Shang, Xu, Guangyuan

The increasing number of Distributed Denial of Service (DDoS) attacks poses a major threat to the Internet, highlighting the importance of DDoS mitigation. Most existing approaches require complex training methods to learn data features, which increa

Externí odkaz: http://arxiv.org/abs/2409.10561

Zobrazit plný text záznamu

Report

Deeper into Self-Supervised Monocular Indoor Depth Estimation

Autor: Fan, Chao, Yin, Zhenyu, Li, Yue, Zhang, Feiqing

Monocular depth estimation using Convolutional Neural Networks (CNNs) has shown impressive performance in outdoor driving scenes. However, self-supervised learning of indoor depth from monocular sequences is quite challenging for researchers because

Externí odkaz: http://arxiv.org/abs/2312.01283

Zobrazit plný text záznamu

Report

DARWIN Series: Domain Specific Large Language Models for Natural Science

Autor: Xie, Tong, Wan, Yuwei, Huang, Wei, Yin, Zhenyu, Liu, Yixuan, Wang, Shaozhou, Linghu, Qingyuan, Kit, Chunyu, Grazian, Clara, Zhang, Wenjie, Razzak, Imran, Hoex, Bram

Emerging tools bring forth fresh approaches to work, and the field of natural science is no different. In natural science, traditional manual, serial, and labour-intensive work is being augmented by automated, parallel, and iterative processes driven

Externí odkaz: http://arxiv.org/abs/2308.13565

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání