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pro vyhledávání: '"Wang, PengWei"'
Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing. However, designing effective soft robots presents challenges, particularly in managing the complex interplay of materi
Externí odkaz:
http://arxiv.org/abs/2405.01824
Deep learning models have become a powerful tool in knee angle estimation for lower limb prostheses, owing to their adaptability across various gait phases and locomotion modes. Current methods utilize Multi-Layer Perceptrons (MLP), Long-Short Term M
Externí odkaz:
http://arxiv.org/abs/2404.06772
U-Net and its variants have been widely used in medical image segmentation. However, most current U-Net variants confine their improvement strategies to building more complex encoder, while leaving the decoder unchanged or adopting a simple symmetric
Externí odkaz:
http://arxiv.org/abs/2309.11139
Publikováno v:
Meikuang Anquan, Vol 54, Iss 5, Pp 78-83 (2024)
Aiming at the problems of low prediction accuracy for the height of water-conducting fracture zone and difficult parameters optimization, we propose a guide height prediction method based on improved sparrow search algorithm SSA optimized BP (LC-SSA-
Externí odkaz:
https://doaj.org/article/87d26c48e41f4429bbdbea8f3f98d84e
Autor:
Zhang, Tong, Liu, Yong, Li, Boyang, Zeng, Zhiwei, Wang, Pengwei, You, Yuan, Miao, Chunyan, Cui, Lizhen
With the evolution of pre-trained language models, current open-domain dialogue systems have achieved great progress in conducting one-session conversations. In contrast, Multi-Session Conversation (MSC), which consists of multiple sessions over a lo
Externí odkaz:
http://arxiv.org/abs/2302.00907
Autor:
Wang, Pengwei
Generative Adversarial Networks (GAN) is currently widely used as an unsupervised image generation method. Current state-of-the-art GANs can generate photorealistic images with high resolution. However, a large amount of data is required, or the mode
Externí odkaz:
http://arxiv.org/abs/2210.16251
Autor:
Zhou, Xin, Zhou, Hongyu, Liu, Yong, Zeng, Zhiwei, Miao, Chunyan, Wang, Pengwei, You, Yuan, Jiang, Feijun
This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendation accuracy. Besides the user-item interaction graph, existing state-
Externí odkaz:
http://arxiv.org/abs/2207.05969
Publikováno v:
In Materials Today Chemistry July 2024 39
Publikováno v:
In Scientia Horticulturae 1 October 2024 336
In contrast to conventional pipeline Spoken Language Understanding (SLU) which consists of automatic speech recognition (ASR) and natural language understanding (NLU), end-to-end SLU infers the semantic meaning directly from speech and overcomes the
Externí odkaz:
http://arxiv.org/abs/2105.04719