Showing 81 - 100 results of 152 for search '"random walk"', query time: 0.08s Refine Results
  1. 81

    Monte Carlo Based Personalized PageRank on Dynamic Networks by Zhang Junchao, Chen Junjie, Jiancheng Song, Rong-Xiang Zhao

    Published 2013-09-01
    “…In a dynamic network, first, we do a random walk starting from each node and save the performed walks into a fingerprint database; second, we update the fingerprint database in a fixed time interval with our proposed update algorithm; finally, when a query is issued by a user, we estimate the Personalized PageRank vector by our proposed approximation algorithm. …”
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  2. 82

    The dynamics of higher-order novelties by Gabriele Di Bona, Alessandro Bellina, Giordano De Marzo, Angelo Petralia, Iacopo Iacopini, Vito Latora

    Published 2025-01-01
    “…We then propose to model an exploration process as a random walk on a network in which the possible connections between elements evolve in time. …”
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  3. 83

    The Challenges and Opportunities for Performance Enhancement in Resonant Fiber Optic Gyroscopes by Sumathi Mahudapathi, Sumukh Nandan R, Gowrishankar R, Balaji Srinivasan

    Published 2025-01-01
    “…In the last decade, substantial progress has been made to improve the performance of optical gyroscopes for inertial navigation applications in terms of critical parameters such as bias stability, scale factor stability, and angular random walk (ARW). Specifically, resonant fiber optic gyroscopes (RFOGs) have emerged as a viable alternative to widely popular interferometric fiber optic gyroscopes (IFOGs). …”
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  4. 84

    Fractional-Order Identification of Gyroscope MEMS Noise Under Various Temperature Conditions by Dominik Sierociuk, Michal Macias, Konrad Andrzej Markowski

    Published 2024-11-01
    “…It is widely known that the IMU measurements built-in MEMS technology often come with a random walk, as well as biases and noises affecting the final results.…”
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  5. 85

    Fluorescence Lifetime Imaging System for in Vivo Studies by Moinuddin Hassan, Jason Riley, Victor Chernomordik, Paul Smith, Randall Pursley, Sang Bong Lee, Jacek Capala, Gandjbakhche Amir H

    Published 2007-07-01
    “…A previously proposed theoretical model of migration, based on random walk theory, is also substantiated by new experimental data. …”
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  6. 86

    Composite Differential Search Algorithm by Bo Liu

    Published 2014-01-01
    “…Differential search algorithm (DS) is a relatively new evolutionary algorithm inspired by the Brownian-like random-walk movement which is used by an organism to migrate. …”
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  7. 87

    Maximizing Information Dissemination in Social Network via a Fast Local Search by Lijia Tian, Xingjian Ji, Yupeng Zhou

    Published 2025-01-01
    “…When the algorithm stalls in local optima, a random walk operator reorients the search towards unexplored regions. …”
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  8. 88

    Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model by Qing Zhu, Kaijian He, Yingchao Zou, Kin Keung Lai

    Published 2014-01-01
    “…The significant performance improvement of the proposed algorithm incorporating the heterogeneous data characteristics, against benchmark random walk, ARMA, and SVR models, is also attributed to the innovative methodology proposed to incorporate this important stylized fact during the modelling process. …”
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  9. 89

    Quantum Walk Computing: Theory, Implementation, and Application by Xiaogang Qiang, Shixin Ma, Haijing Song

    Published 2024-01-01
    “…The classical random walk formalism plays an important role in a wide range of applications. …”
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  10. 90

    Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network by Xiang Yin, Junyang Yu, Xiaoyu Duan, Lei Chen, Xiaoli Liang

    Published 2025-01-01
    “…It first combines the dynamic generation matrix and the static distance matrix to grasp real-time traffic conditions, and then introduces the diffusion random walk strategy to capture the correlation of spatial nodes. …”
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  11. 91

    Modeling bacterial attachment to surfaces as an early stage of biofilm development by Fadoua El Moustaid, Amina Eladdadi, Lafras Uys

    Published 2013-03-01
    “…In this case, bacteria perform a biased random walk towards the sensing molecules. We derive the boundary conditions of the adhesion of bacteria to a surface using zero-Dirichlet boundary conditions, while the equation describing sensing molecules at the interface needed particular conditions to be set.The numerical results show the profile of bacteria within the space and the time evolution of the density within the free-space and on the surface. …”
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  12. 92

    Reconfigurable scattering by liquid crystal–polymer composite by Duan-Yi Guo, Yan-Ting Liu, Chen-Wei Tu, Iam Choon Khoo, Tsung-Hsien Lin

    Published 2025-01-01
    “…Scattering phenomena offer significant application potential in fields such as high-resolution imaging, sensing, material characterization, and photonic computing due to their random-walk behavior and intricate spatial intensity statistics. …”
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  13. 93

    Impact of microwave phase noise on diamond quantum sensing by Andris Berzins, Maziar Saleh Ziabari, Yaser Silani, Ilja Fescenko, Joshua T. Damron, John F. Barry, Andrey Jarmola, Pauli Kehayias, Bryan A. Richards, Janis Smits, Victor M. Acosta

    Published 2024-11-01
    “…For controlled injection of white and random-walk phase noise, the observed NV magnetic noise floor is described by simple analytic expressions that accurately capture the scaling with pulse sequence length and the number of π pulses. …”
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  14. 94

    Perception of intergroup threat of Croatian receiving community in the context of integration of refugees by Jana Kiralj Lacković, Dean Ajduković

    Published 2024-12-01
    “…A sample of 600 RCMs participated in the study, collected using the random walk technique. Data were analysed using SEM, and the two final models showed a good fit. …”
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  15. 95

    Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

    Published 2025-01-01
    “…At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. …”
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  16. 96

    Eco-evolutionary dynamics of adapting pathogens and host immunity by Pierre Barrat-Charlaix, Richard A Neher

    Published 2024-12-01
    “…Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. …”
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  17. 97

    Stochastic Extension of Nonlocal Macro–Mesoscale Consistent Damage Model for Fracture Behaviors of Concrete Materials by Guangda Lu, Jiankang Xie

    Published 2024-12-01
    “…Numerical examples of three-point bending beams without defects and with initial cracks of various sizes demonstrate that the stochastic NMMD model is capable of not only capturing uncertain fluctuations in peak load but also simulating the random walk of the crack path with the instantaneous transition of fracture modes, as observed in experiments. …”
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  18. 98

    Ethereum phishing detection based on graph neural networks by Ao Xiong, Yuanzheng Tong, Chengling Jiang, Shaoyong Guo, Sujie Shao, Jing Huang, Wei Wang, Baozhen Qi

    Published 2024-09-01
    “…Specifically, this paper proposes a feature learning algorithm named TransWalk, which consists of a random walk strategy for transaction networks and a multi‐scale feature extraction method for Ethereum. …”
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  19. 99

    An ecological network for large carnivores as a key tool for protecting landscape connectivity in the Carpathians by Kristýna Vlková, Vladimír Zýka, Cristian Remus Papp, Dušan Romportl

    Published 2024-12-01
    “…Both outputs were crucial for the connectivity modelling. We applied Random Walk and Least-Cost Path models and combined them to determine feasible connections between suitable habitats. …”
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  20. 100

    Shape Restoration by Active Self-Assembly by D. Arbuckle, A. A. G. Requicha

    Published 2005-01-01
    “…The assembly agents initially execute a random walk. When two robots meet, they may exchange a small number of messages. …”
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