Zobrazeno 1 - 10
of 1 075
pro vyhledávání: '"NIU Qiang"'
Publikováno v:
Redai dili, Vol 44, Iss 8, Pp 1435-1448 (2024)
The widespread adoption of information and communication technologies has reshaped the spatial dynamics of the catering industry, rendering the coopetition relations between take-out and traditional restaurants in spatial distribution increasingly in
Externí odkaz:
https://doaj.org/article/8ef379b722e848b39fc32e3b1372ab37
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the changing structure of the e-commerce industry, the analysis of economic efficiency influencing factors helps to optimize the layout of the e-commerce industry. This paper analyzes the spatial correlation of regional e-commerce economic devel
Externí odkaz:
https://doaj.org/article/3a3eff04accb4db2b0597f901295442d
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 1, Pp 63-72 (2023)
Aiming at the nonlinear and low signal-to-noise ratio characteristics of mine hoist vibration signal in complex environments, a mine hoist vibration signal fusion denoising algorithm based on complete EEMD with adaptive noise (CEEMDAN) and adaptive w
Externí odkaz:
https://doaj.org/article/31df8a773d1743f895fc2d840b06cd47
Autor:
Zhao, Shuaijiang, Guo, Tingwei, Xiang, Bajian, Wan, Tongtang, Niu, Qiang, Zou, Wei, Li, Xiangang
The GPT-4o represents a significant milestone in enabling real-time interaction with large language models (LLMs) through speech, its remarkable low latency and high fluency not only capture attention but also stimulate research interest in the field
Externí odkaz:
http://arxiv.org/abs/2412.01078
Publikováno v:
Journal of Engineered Fibers and Fabrics, Vol 17 (2022)
Fabric defects seriously affect the textile industry in China. Given that traditional manual detection methods have low efficiency and poor accuracy, using automatic textile defect detection methods is urgently needed. A fabric defect detection metho
Externí odkaz:
https://doaj.org/article/212d57e240d8478eb29a0174e0d5dde2
Publikováno v:
Energies, Vol 16, Iss 4, p 2064 (2023)
Computer-vision-based separation methods for coal gangue face challenges due to the harsh environmental conditions in the mines, leading to the reduction of separation accuracy. So, rather than purely depending on the image features to distinguish th
Externí odkaz:
https://doaj.org/article/e924e7c463bd4206ae6a9de067724347
Graph matching aims to find correspondences between two graphs. It is a fundamental task in pattern recognition. The classical spectral matching algorithm has time complexity $\mathcal{O}(n^4)$ and space complexity $\mathcal{O}(n^4)$, where $n$ is th
Externí odkaz:
http://arxiv.org/abs/2310.14701
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, 2024
Seismograms, the fundamental seismic records, have revolutionized earthquake research and monitoring. Recent advancements in deep learning have further enhanced seismic signal processing, leading to even more precise and effective earthquake monitori
Externí odkaz:
http://arxiv.org/abs/2310.01037
Softassign is a pivotal method in graph matching and other learning tasks. Many softassign-based algorithms exhibit performance sensitivity to a parameter in the softassign. However, tuning the parameter is challenging and almost done empirically. Th
Externí odkaz:
http://arxiv.org/abs/2309.13855
Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models. However, there remains a scarcity of comprehensive and in
Externí odkaz:
http://arxiv.org/abs/2304.07854