Zobrazeno 1 - 10
of 951
pro vyhledávání: '"Qionghai, Dai"'
Autor:
Guihua Xiao, Yeyi Cai, Yuanlong Zhang, Jingyu Xie, Lifan Wu, Hao Xie, Jiamin Wu, Qionghai Dai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Large-scale neural recording with single-neuron resolution has revealed the functional complexity of the neural systems. However, even under well-designed task conditions, the cortex-wide network exhibits highly dynamic trial variability, po
Externí odkaz:
https://doaj.org/article/be47681de9e347c2aa12fd191042fed1
Publikováno v:
Engineering, Vol 40, Iss , Pp 188-201 (2024)
Practical real-world scenarios such as the Internet, social networks, and biological networks present the challenges of data scarcity and complex correlations, which limit the applications of artificial intelligence. The graph structure is a typical
Externí odkaz:
https://doaj.org/article/0f0b76e733a2417bac72b6c7f68596d5
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-10 (2024)
Abstract Depth sensing plays a crucial role in various applications, including robotics, augmented reality, and autonomous driving. Monocular passive depth sensing techniques have come into their own for the cost-effectiveness and compact design, off
Externí odkaz:
https://doaj.org/article/6ab6750864514e75906195aa832afc9a
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Recent advances in spatial omics have expanded the spectrum of profiled molecular categories beyond transcriptomics. However, many of these technologies are constrained by limited spatial resolution, hindering our ability to deeply character
Externí odkaz:
https://doaj.org/article/3b7a1c7a9c674c15b87460e085432f24
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Calculus equations serve as fundamental frameworks in mathematics, enabling describing an extensive range of natural phenomena and scientific principles, such as thermodynamics and electromagnetics. Analog computing with electromagnetic wave
Externí odkaz:
https://doaj.org/article/c4de70475edf4c2fa12e7831528a439a
Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy
Autor:
Chang Qiao, Yunmin Zeng, Quan Meng, Xingye Chen, Haoyu Chen, Tao Jiang, Rongfei Wei, Jiabao Guo, Wenfeng Fu, Huaide Lu, Di Li, Yuwang Wang, Hui Qiao, Jiamin Wu, Dong Li, Qionghai Dai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Computational super-resolution methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding performa
Externí odkaz:
https://doaj.org/article/fdd932f01bbb4b92a382ae968b9759f3
Autor:
Tao Yan, Maoqi Zhang, Hang Chen, Sen Wan, Kaifeng Shang, Haiou Zhang, Xun Cao, Xing Lin, Qionghai Dai
Publikováno v:
Engineering, Vol 35, Iss , Pp 56-66 (2024)
Electroencephalography (EEG) analysis extracts critical information from brain signals, enabling brain disease diagnosis and providing fundamental support for brain–computer interfaces. However, performing an artificial intelligence analysis of EEG
Externí odkaz:
https://doaj.org/article/9900dbffc35d48b9b3441836286926e5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Event cameras or dynamic vision sensors (DVS) record asynchronous response to brightness changes instead of conventional intensity frames, and feature ultra-high sensitivity at low bandwidth. The new mechanism demonstrates great advantages i
Externí odkaz:
https://doaj.org/article/74e4085b557f47f68043e566903b9578
Autor:
Ziwei Li, Wei Zhou, Zhanhong Zhou, Shuqi Zhang, Jianyang Shi, Chao Shen, Junwen Zhang, Nan Chi, Qionghai Dai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Multimode fiber (MMF) which supports parallel transmission of spatially distributed information is a promising platform for remote imaging and capacity-enhanced optical communication. However, the variability of the scattering MMF channel po
Externí odkaz:
https://doaj.org/article/4592ca3748fe4cf38d8e9b50985d3bd7
Autor:
Qionghai Dai, Yue Gao
This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, et
