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Статті в журналах з теми "Reaction-Diffusion Network Model"
Wang, Ling, and Hongyong Zhao. "Synchronized stability in a reaction–diffusion neural network model." Physics Letters A 378, no. 48 (November 2014): 3586–99. http://dx.doi.org/10.1016/j.physleta.2014.10.019.
Повний текст джерелаJi, Yansu, and Jianwei Shen. "Turing Instability of Brusselator in the Reaction-Diffusion Network." Complexity 2020 (October 5, 2020): 1–12. http://dx.doi.org/10.1155/2020/1572743.
Повний текст джерелаZhao, Hongyong, and Linhe Zhu. "Dynamic Analysis of a Reaction–Diffusion Rumor Propagation Model." International Journal of Bifurcation and Chaos 26, no. 06 (June 15, 2016): 1650101. http://dx.doi.org/10.1142/s0218127416501017.
Повний текст джерелаKumar, Dinesh, Jatin Gupta, and Soumyendu Raha. "Partitioning a reaction–diffusion ecological network for dynamic stability." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2223 (March 2019): 20180524. http://dx.doi.org/10.1098/rspa.2018.0524.
Повний текст джерелаDoremus, R. H. "Diffusion of water in crystalline and glassy oxides: Diffusion–reaction model." Journal of Materials Research 14, no. 9 (September 1999): 3754–58. http://dx.doi.org/10.1557/jmr.1999.0508.
Повний текст джерелаBANERJEE, SUBHASIS, SHRESTHA BASU MALLICK, and INDRANI BOSE. "REACTION–DIFFUSION PROCESSES ON RANDOM AND SCALE-FREE NETWORKS." International Journal of Modern Physics C 15, no. 08 (October 2004): 1075–86. http://dx.doi.org/10.1142/s0129183104006534.
Повний текст джерелаSmith, Stephen, and Neil Dalchau. "Model reduction enables Turing instability analysis of large reaction–diffusion models." Journal of The Royal Society Interface 15, no. 140 (March 2018): 20170805. http://dx.doi.org/10.1098/rsif.2017.0805.
Повний текст джерелаSlavova, Angela, and Ronald Tetzlaff. "Edge of chaos in reaction diffusion CNN model." Open Mathematics 15, no. 1 (February 2, 2017): 21–29. http://dx.doi.org/10.1515/math-2017-0002.
Повний текст джерелаLiu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang, and Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 6 (June 2022): 063115. http://dx.doi.org/10.1063/5.0087855.
Повний текст джерелаLiu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang, and Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 6 (June 2022): 063115. http://dx.doi.org/10.1063/5.0087855.
Повний текст джерелаДисертації з теми "Reaction-Diffusion Network Model"
CATTANI, ANNA. ""Multispecies" models to describe large neuronal networks." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2535730.
Повний текст джерелаSubramanian, Kartik. "Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65156.
Повний текст джерелаPh. D.
Adam, Ihusan. "Structure and collective behaviour: a focus on the inverse problem." Doctoral thesis, 2021. http://hdl.handle.net/2158/1230776.
Повний текст джерелаКниги з теми "Reaction-Diffusion Network Model"
Adam, M. Shiham. Use of neural networks with advection-diffusion-reaction models to estimate large-scale movements of Skipjack tuna from tagging data. Honolulu, Hawaii: Pelagic Fisheries Research Program, University of Hawaii at Manoa, 2004.
Знайти повний текст джерелаPrescott, Tony J., and Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.
Повний текст джерелаЧастини книг з теми "Reaction-Diffusion Network Model"
Dan, Tingting, Hongmin Cai, Zhuobin Huang, Paul Laurienti, Won Hwa Kim, and Guorong Wu. "Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition." In Lecture Notes in Computer Science, 365–74. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16452-1_35.
Повний текст джерелаvon Below, Joachim, and José A. Lubary. "Stability Matters for Reaction–Diffusion–Equations on Metric Graphs Under the Anti-Kirchhoff Vertex Condition." In Discrete and Continuous Models in the Theory of Networks, 1–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44097-8_1.
Повний текст джерелаGomez, Karina Mabell, Daniele Miorandi, and David Lowe. "Data Highways." In Biologically Inspired Networking and Sensing, 223–41. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-092-7.ch012.
Повний текст джерелаSamil Demirkol, Ahmet, Alon Ascoli, Ioannis Messaris, and Ronald Tetzlaff. "Pattern Formation in a RD-MCNN with Locally Active Memristors." In Memristor - An Emerging Device for Post-Moore’s Computing and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100463.
Повний текст джерелаТези доповідей конференцій з теми "Reaction-Diffusion Network Model"
Cao, Yuexin, Yibei Li, Lirong Zheng, and Xiaoming Hu. "Network Controllability of Turing Reaction and Diffusion Model." In 2022 41st Chinese Control Conference (CCC). IEEE, 2022. http://dx.doi.org/10.23919/ccc55666.2022.9902569.
Повний текст джерелаLong, Pham Hong, and Pham Thuong Cat. "Real-time Image Processing by Cellular Neural Network Using Reaction-Diffusion Model." In 2009 International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2009. http://dx.doi.org/10.1109/kse.2009.35.
Повний текст джерелаZhang, Jingwen, Defu Yang, Wei He, Guorong Wu, and Minghan Chen. "A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer’s Disease." In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2020. http://dx.doi.org/10.1109/bibe50027.2020.00044.
Повний текст джерелаKatsuya Hyodo, Naoki Wakamiya, and Masayuki Murata. "Reaction-diffusion based autonomous control of camera sensor networks." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS). IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610091.
Повний текст джерелаNelson, George J., Comas Haynes, and William Wepfer. "A Fractal Approach for Modeling SOFC Electrode Mass Transport." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12870.
Повний текст джерелаHyodo, Katsuya, Naoki Wakamiya, and Masayuki Murata. "Reaction-Diffusion based Autonomous Control of Camera Sensor Networks." In 2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems. IEEE, 2007. http://dx.doi.org/10.4108/icst.bionetics2007.2436.
Повний текст джерелаSuthar, Kamlesh J., Muralidhar K. Ghantasala, and Derrick C. Mancini. "Simulation of Hydrogel Responsiveness to Blood Glucose." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3167.
Повний текст джерелаBhaumik, B., and C. M. Markan. "Orientation map: a reaction-diffusion based model." In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, 2000. http://dx.doi.org/10.1109/ijcnn.2000.857841.
Повний текст джерелаSzatmari, Istvan. "Pattern formation in oscillatory media: Beyond reaction-diffusion model." In 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010). IEEE, 2010. http://dx.doi.org/10.1109/cnna.2010.5430312.
Повний текст джерелаIshizaki, Takayuki, Kenji Kashima, Jun-ichi Imura, and Kazuyuki Aihara. "Model order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990628.
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