Zobrazeno 1 - 10
of 58 340
pro vyhledávání: '"Large model"'
Autor:
Yu, Li, Shi, Lianzheng, Zhang, Jianhua, Wang, Jialin, Zhang, Zhen, Zhang, Yuxiang, Liu, Guangyi
6G is envisaged to provide multimodal sensing, pervasive intelligence, global coverage, global coverage, etc., which poses extreme intricacy and new challenges to the network design and optimization. As the core part of 6G, wireless channel is the ca
Externí odkaz:
http://arxiv.org/abs/2410.13379
Autor:
He, Hongliang, Huang, Jinfeng, Li, Qi, Wang, Xu, Zhang, Feibin, Yang, Kangding, Meng, Li, Chu, Fulei
In recent years, large language models have made significant advancements in the field of natural language processing, yet there are still inadequacies in specific domain knowledge and applications. This paper Proposes MaintAGT, a professional large
Externí odkaz:
http://arxiv.org/abs/2412.00481
Autor:
Yan, Feng, Liu, Fanfan, Zheng, Liming, Zhong, Yufeng, Huang, Yiyang, Guan, Zechao, Feng, Chengjian, Ma, Lin
In recent years, robotics has advanced significantly through the integration of larger models and large-scale datasets. However, challenges remain in applying these models to 3D spatial interactions and managing data collection costs. To address thes
Externí odkaz:
http://arxiv.org/abs/2412.07215
Organs-at-risk segmentation is critical for ensuring the safety and precision of radiotherapy and surgical procedures. However, existing methods for organs-at-risk image segmentation often suffer from uncertainties and biases in target selection, as
Externí odkaz:
http://arxiv.org/abs/2411.15526
Autor:
Yang, Yuzhe, Du, Yipeng, Farhan, Ahmad, Angione, Claudio, Zhao, Yue, Yang, Harry, Johnston, Fielding, Buban, James, Colangelo, Patrick
The deployment of large-scale models, such as large language models (LLMs) and sophisticated image generation systems, incurs substantial costs due to their computational demands. To mitigate these costs and address challenges related to scalability
Externí odkaz:
http://arxiv.org/abs/2410.21340
Autor:
Meng, Shiqiao, Zhou, Ying, Zheng, Qinghua, Liao, Bingxu, Chang, Mushi, Zhang, Tianshu, Djerrad, Abderrahim
Accurately predicting the dynamic responses of building structures under seismic loads is essential for ensuring structural safety and minimizing potential damage. This critical aspect of structural analysis allows engineers to evaluate how structure
Externí odkaz:
http://arxiv.org/abs/2410.20186
Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising solution for applications unamenable to techniques requiring computer visions. However, the scarcity of labeled RF data due to their non-interpretable nature poses a sig
Externí odkaz:
http://arxiv.org/abs/2410.19766
Autor:
Zhao, Xinyu, Sun, Guoheng, Cai, Ruisi, Zhou, Yukun, Li, Pingzhi, Wang, Peihao, Tan, Bowen, He, Yexiao, Chen, Li, Liang, Yi, Chen, Beidi, Yuan, Binhang, Wang, Hongyi, Li, Ang, Wang, Zhangyang, Chen, Tianlong
As Large Language Models (LLMs) excel across tasks and specialized domains, scaling LLMs based on existing models has garnered significant attention, which faces the challenge of decreasing performance when combining disparate models. Various techniq
Externí odkaz:
http://arxiv.org/abs/2410.05357
Accurately recommending products has long been a subject requiring in-depth research. This study proposes a multimodal paradigm for clothing recommendations. Specifically, it designs a multimodal analysis method that integrates clothing description t
Externí odkaz:
http://arxiv.org/abs/2410.02219
Autor:
Tao, Laifa, Li, Shangyu, Liu, Haifei, Huang, Qixuan, Ma, Liang, Ning, Guoao, Chen, Yiling, Wu, Yunlong, Li, Bin, Zhang, Weiwei, Zhao, Zhengduo, Zhan, Wenchao, Cao, Wenyan, Wang, Chao, Liu, Hongmei, Ma, Jian, Suo, Mingliang, Cheng, Yujie, Ding, Yu, Song, Dengwei, Lu, Chen
Prognosis and Health Management (PHM), critical for ensuring task completion by complex systems and preventing unexpected failures, is widely adopted in aerospace, manufacturing, maritime, rail, energy, etc. However, PHM's development is constrained
Externí odkaz:
http://arxiv.org/abs/2407.03374