Results 21 to 30 of about 4,521,340 (293)
On Crowd-verification of Biological Networks [PDF]
Bioinformatics and Biology Insights, 2013 Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. This article presents a crowd-verification approach for the visualization and expansion of biological networks.
Sam Ansari +16 more
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Crowd Counting Algorithm Based on Feature Pyramid Network [PDF]
Jisuanji gongcheng, 2019 The single-picture crowd count has a sharp decline in performance due to severe population occlusion and scale changes.Therefore,this paper proposes an algorithm for crowd counting pictures,and gives a Full Convolution Network(FCN) capable of processing ...
MA Hao, YIN Baoqun, PENG Sifan
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A Crowd Equivalence-Based Massive Member Model Generation Method for Crowd Science Simulations
International Journal of Crowd Science, 2022 Crowd phenomena are widespread in human society, but they cannot be observed easily in the real world, and research on them cannot follow traditional ways. Simulation is one of the most effective means to support studies about crowd phenomena.
Aoqiang Xing, Hongbo Sun
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Modeling and Verification of Simulation-Oriented Digital Selves
International Journal of Crowd Science, 2023 Networked life has now become one of our major life forms. In social networks, each individual has its own attributes and certain functions, which makes the current network present characteristics that the previous network did not have.
Zhaotong Wang, Hongbo Sun
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Adaptive information sharing approach for crowd networks based on two stage optimization [PDF]
International Journal of Crowd Science, 2019 Purpose – This paper aims to optimize and evaluating the performance of the crowd networks through analyzing their information sharing patterns. That is, in a crowd network, the qualities of accomplishing tasks are highly dependent on the effective ...
Xiaoni Wang +4 more
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Robot-Assisted Crowd Evacuation Algorithm Based on Deep Spatio-Temporal Q-network [PDF]
Jisuanji gongcheng, 2021 The application of robots to crowd evacuation is limited by the low flexibility, low scenario adaptability, and low evacuation efficiency of robots.To address the problem, this paper proposes an algorithm for robot-assisted crowd evacuation based on deep
TAN Mei, LIU Shihao, ZHOU Wan, CHEN Guowen, HU Xuemin
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Crowd Density Detection Technology Based on Deep Semantic Segmentation
Jisuanji kexue yu tansuo, 2021 With the development of society, people are going out more and more, which leads to more and more crowded scenes. The detection of crowd density is particularly important.
MA Yu, DU Huimin, MAO Zhili, ZHANG Xia
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Encoder-Decoder Network Fusing Channel and Spatial Attention for Crowd Counting [PDF]
Jisuanji kexue yu tansuo, 2022 The purpose of crowd counting is to accurately predict the number, distribution and density of crowds in real scenes. However, crowd counting often suffers from some problems such as complex background, diverse target scales, and cluttered crowd ...
YU Ying, PAN Cheng, ZHU Huilin, QIAN Jin, TANG Hong
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Effects of Macromolecular Crowding on Genetic Networks [PDF]
Biophysical Journal, 2011 The intracellular environment is crowded with proteins, DNA, and other macromolecules. Under physiological conditions, macromolecular crowding can alter both molecular diffusion and the equilibria of bimolecular reactions and therefore is likely to have a significant effect on the function of biochemical networks.
M.J. Morelli +2 more
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Hopping in the Crowd to Unveil Network Topology [PDF]
Physical Review Letters, 2018 We introduce a nonlinear operator to model diffusion on a complex undirected network under crowded conditions. We show that the asymptotic distribution of diffusing agents is a nonlinear function of the nodes' degree and saturates to a constant value for sufficiently large connectivities, at variance with standard diffusion in the absence of excluded ...
Asllani, Malbor +4 more
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