Zobrazeno 1 - 10
of 16 360
pro vyhledávání: '"Deyu An"'
Publikováno v:
Water, Vol 15, Iss 21, p 3797 (2023)
Ulva prolifera and Sargassum are two common floating macroalgae in China’s coastal algal bloom events. Ulva prolifera frequently emerges concomitantly with Sargassum outbreaks, thereby presenting challenges to the monitoring of algal blooms, thereb
Externí odkaz:
https://doaj.org/article/52a2ae271a3243e08f270d8208556fa7
Graph Contrastive Learning (GCL) excels at managing noise and fluctuations in input data, making it popular in various fields (e.g., social networks, and knowledge graphs). Our study finds that the difference in high-frequency information between aug
Externí odkaz:
http://arxiv.org/abs/2410.10365
Despite previous works typically targeting isolated degradation types, recent research has increasingly focused on addressing composite degradations which involve a complex interplay of multiple different isolated degradations. Recognizing the challe
Externí odkaz:
http://arxiv.org/abs/2410.08688
Remote sensing image plays an irreplaceable role in fields such as agriculture, water resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of remote sensing image applications; however, a prevalent limitation rema
Externí odkaz:
http://arxiv.org/abs/2410.01768
X-ray absorption spectroscopy (XAS) is a powerful characterization technique for probing the local chemical environment of absorbing atoms. However, analyzing XAS data presents with significant challenges, often requiring extensive, computationally i
Externí odkaz:
http://arxiv.org/abs/2409.19552
We consider non-linear Bayesian inverse problems of determining the parameter $f$. For the posterior distribution with a class of Gaussian process priors, we study the statistical performance of variational Bayesian inference to the posterior with va
Externí odkaz:
http://arxiv.org/abs/2409.18415
Deep learning has made profound impacts in the domains of data mining and AI, distinguished by the groundbreaking achievements in numerous real-world applications and the innovative algorithm design philosophy. However, it suffers from the inconsiste
Externí odkaz:
http://arxiv.org/abs/2409.14174
Hyperspectral image (HSI) plays a vital role in various fields such as agriculture and environmental monitoring. However, due to the expensive acquisition cost, the number of hyperspectral images is limited, degenerating the performance of downstream
Externí odkaz:
http://arxiv.org/abs/2409.12470
Autor:
Zhang, Jun-Jie, Cheng, Nan, Li, Fu-Peng, Wang, Xiu-Cheng, Chen, Jian-Nan, Pang, Long-Gang, Meng, Deyu
Understanding the mechanisms behind neural network optimization is crucial for improving network design and performance. While various optimization techniques have been developed, a comprehensive understanding of the underlying principles that govern
Externí odkaz:
http://arxiv.org/abs/2409.06402
Running LLMs on end devices has garnered significant attention recently due to their advantages in privacy preservation. With the advent of lightweight LLM models and specially designed GPUs, on-device LLM inference has achieved the necessary accurac
Externí odkaz:
http://arxiv.org/abs/2409.04040