Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Yuehu, P"'
In the tasks of multi-robot collaborative area search, we propose the unified approach for simultaneous mapping for sensing more targets (exploration) while searching and locating the targets (coverage). Specifically, we implement a hierarchical mult
Externí odkaz:
http://arxiv.org/abs/2312.01747
We are in a golden age of progress in artificial intelligence (AI). Radiotherapy, due to its technology-intensive nature as well as direct human-machine interactions, is perfectly suited for benefitting from AI to enhance accuracy and efficiency. Ove
Externí odkaz:
http://arxiv.org/abs/2211.09038
In unsupervised person Re-ID, peer-teaching strategy leveraging two networks to facilitate training has been proven to be an effective method to deal with the pseudo label noise. However, training two networks with a set of noisy pseudo labels reduce
Externí odkaz:
http://arxiv.org/abs/2210.03339
Causal relation extraction of biomedical entities is one of the most complex tasks in biomedical text mining, which involves two kinds of information: entity relations and entity functions. One feasible approach is to take relation extraction and fun
Externí odkaz:
http://arxiv.org/abs/2208.01316
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Medical accelerators have been widely used in tumor radiation therapy. Accurate isocenter coincidence between treatment beams and imaging systems is critical for image-guided radiation therapy (IGRT). We propose a method utilizing a phantom with mark
Externí odkaz:
https://doaj.org/article/e4d7a4a6c8a545439975a4726c3ef869
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 276, Iss , Pp 116292- (2024)
Calotropis gigantea (Giant milkweed, GM) has the potential to be utilized as a new feed additive for ruminants, however, the presence of unpalatable or toxic compounds decreases animal feed intake. This study aimed to valorize GM as a potential new f
Externí odkaz:
https://doaj.org/article/ef55678ff3ca4d9e9c47370ecc47e4a8
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 393-408 (2024)
From the perspective of artificial intelligence evaluation, the need to discover and explain the potential shortness of the evaluated intelligent algorithms/systems as well as the need to evaluate the intelligence level of such testees are of equal i
Externí odkaz:
https://doaj.org/article/148ea933199a41a9970d4e1bb09f28f0
In this manuscript, we introduce a semi-automatic scene graph annotation tool for images, the GeneAnnotator. This software allows human annotators to describe the existing relationships between participators in the visual scene in the form of directe
Externí odkaz:
http://arxiv.org/abs/2109.02226
Fundamental machine learning theory shows that different samples contribute unequally both in learning and testing processes. Contemporary studies on DNN imply that such sample difference is rooted on the distribution of intrinsic pattern information
Externí odkaz:
http://arxiv.org/abs/2108.03913
Autor:
Zhongbang Song, Ruixue Wang, Hongbo Zhang, Zhijun Tong, Cheng Yuan, Yong Li, Changjun Huang, Lu Zhao, Yuehu Wang, Yingtong Di, Xueyi Sui
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The pyridine alkaloid nicotine acts as one of best-studied plant resistant traits in tobacco. Previous research has shown that NtERF199 and NtERF189, acting as master regulators within the NIC1 and NIC2 locus, quantitatively contribute to nicotine ac
Externí odkaz:
https://doaj.org/article/b291ecb529564b109270f4089659ddba