Zobrazeno 1 - 10
of 1 102
pro vyhledávání: '"Nanning, Zheng"'
Autor:
Yusong Wang, Tong Wang, Shaoning Li, Xinheng He, Mingyu Li, Zun Wang, Nanning Zheng, Bin Shao, Tie-Yan Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Geometric deep learning has been revolutionizing the molecular modeling field. Despite the state-of-the-art neural network models are approaching ab initio accuracy for molecular property prediction, their applications, such as drug discover
Externí odkaz:
https://doaj.org/article/71536d430cfd44f18d739029f207ec11
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Accurate recognition of pest categories is crucial for effective pest control. Due to issues such as the large variation in pest appearance, low data quality, and complex real-world environments, pest recognition poses challenges in practical applica
Externí odkaz:
https://doaj.org/article/30acf8e3eb4043e386727e91253944f9
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
This paper investigates the selection of voxels for functional Magnetic Resonance Imaging (fMRI) brain data. We aim to identify a comprehensive set of discriminative voxels associated with human learning when exposed to a neutral visual stimulus that
Externí odkaz:
https://doaj.org/article/b26b5c4be34e405faa9f1dfe62a8262c
Publikováno v:
Future Generation Computer Systems. 145:150-163
Publikováno v:
IEEE Robotics and Automation Letters. 8:3358-3365
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31:738-748
Publikováno v:
IEEE Robotics and Automation Letters. 8:3294-3301
Publikováno v:
Neurocomputing. 534:161-170
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 70:1242-1255
Autor:
Sijie Liu, Jingmin Xin, Jiayi Wu, Yangyang Deng, Ruisheng Su, Wiro J. Niessen, Nanning Zheng, Theo van Walsum
Publikováno v:
Neurocomputing, 523, 224-234. Elsevier
Neurocomputing, 523
Neurocomputing, 523
Identification and detection of thin-cap fibroatheroma (TCFA) from intravascular optical coherence tomography (IVOCT) images is critical for treatment of coronary heart diseases. Recently, deep learning methods have shown promising successes in TCFA