Literatura académica sobre el tema "Reaction-Diffusion Network Model"
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Artículos de revistas sobre el tema "Reaction-Diffusion Network Model"
Wang, Ling y Hongyong Zhao. "Synchronized stability in a reaction–diffusion neural network model". Physics Letters A 378, n.º 48 (noviembre de 2014): 3586–99. http://dx.doi.org/10.1016/j.physleta.2014.10.019.
Texto completoJi, Yansu y Jianwei Shen. "Turing Instability of Brusselator in the Reaction-Diffusion Network". Complexity 2020 (5 de octubre de 2020): 1–12. http://dx.doi.org/10.1155/2020/1572743.
Texto completoZhao, Hongyong y Linhe Zhu. "Dynamic Analysis of a Reaction–Diffusion Rumor Propagation Model". International Journal of Bifurcation and Chaos 26, n.º 06 (15 de junio de 2016): 1650101. http://dx.doi.org/10.1142/s0218127416501017.
Texto completoKumar, Dinesh, Jatin Gupta y Soumyendu Raha. "Partitioning a reaction–diffusion ecological network for dynamic stability". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, n.º 2223 (marzo de 2019): 20180524. http://dx.doi.org/10.1098/rspa.2018.0524.
Texto completoDoremus, R. H. "Diffusion of water in crystalline and glassy oxides: Diffusion–reaction model". Journal of Materials Research 14, n.º 9 (septiembre de 1999): 3754–58. http://dx.doi.org/10.1557/jmr.1999.0508.
Texto completoBANERJEE, SUBHASIS, SHRESTHA BASU MALLICK y INDRANI BOSE. "REACTION–DIFFUSION PROCESSES ON RANDOM AND SCALE-FREE NETWORKS". International Journal of Modern Physics C 15, n.º 08 (octubre de 2004): 1075–86. http://dx.doi.org/10.1142/s0129183104006534.
Texto completoSmith, Stephen y Neil Dalchau. "Model reduction enables Turing instability analysis of large reaction–diffusion models". Journal of The Royal Society Interface 15, n.º 140 (marzo de 2018): 20170805. http://dx.doi.org/10.1098/rsif.2017.0805.
Texto completoSlavova, Angela y Ronald Tetzlaff. "Edge of chaos in reaction diffusion CNN model". Open Mathematics 15, n.º 1 (2 de febrero de 2017): 21–29. http://dx.doi.org/10.1515/math-2017-0002.
Texto completoLiu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang y Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks". Chaos: An Interdisciplinary Journal of Nonlinear Science 32, n.º 6 (junio de 2022): 063115. http://dx.doi.org/10.1063/5.0087855.
Texto completoLiu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang y Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks". Chaos: An Interdisciplinary Journal of Nonlinear Science 32, n.º 6 (junio de 2022): 063115. http://dx.doi.org/10.1063/5.0087855.
Texto completoTesis sobre el tema "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.
Texto completoSubramanian, Kartik. "Spatiotemporal Model of the Asymmetric Division Cycle of Caulobacter crescentus". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65156.
Texto completoPh. D.
Adam, Ihusan. "Structure and collective behaviour: a focus on the inverse problem". Doctoral thesis, 2021. http://hdl.handle.net/2158/1230776.
Texto completoLibros sobre el tema "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.
Buscar texto completoPrescott, Tony J. y Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.
Texto completoCapítulos de libros sobre el tema "Reaction-Diffusion Network Model"
Dan, Tingting, Hongmin Cai, Zhuobin Huang, Paul Laurienti, Won Hwa Kim y Guorong Wu. "Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition". En Lecture Notes in Computer Science, 365–74. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16452-1_35.
Texto completovon Below, Joachim y José A. Lubary. "Stability Matters for Reaction–Diffusion–Equations on Metric Graphs Under the Anti-Kirchhoff Vertex Condition". En 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.
Texto completoGomez, Karina Mabell, Daniele Miorandi y David Lowe. "Data Highways". En Biologically Inspired Networking and Sensing, 223–41. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-092-7.ch012.
Texto completoSamil Demirkol, Ahmet, Alon Ascoli, Ioannis Messaris y Ronald Tetzlaff. "Pattern Formation in a RD-MCNN with Locally Active Memristors". En Memristor - An Emerging Device for Post-Moore’s Computing and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100463.
Texto completoActas de conferencias sobre el tema "Reaction-Diffusion Network Model"
Cao, Yuexin, Yibei Li, Lirong Zheng y Xiaoming Hu. "Network Controllability of Turing Reaction and Diffusion Model". En 2022 41st Chinese Control Conference (CCC). IEEE, 2022. http://dx.doi.org/10.23919/ccc55666.2022.9902569.
Texto completoLong, Pham Hong y Pham Thuong Cat. "Real-time Image Processing by Cellular Neural Network Using Reaction-Diffusion Model". En 2009 International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2009. http://dx.doi.org/10.1109/kse.2009.35.
Texto completoZhang, Jingwen, Defu Yang, Wei He, Guorong Wu y Minghan Chen. "A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer’s Disease". En 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2020. http://dx.doi.org/10.1109/bibe50027.2020.00044.
Texto completoKatsuya Hyodo, Naoki Wakamiya y Masayuki Murata. "Reaction-diffusion based autonomous control of camera sensor networks". En 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS). IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610091.
Texto completoNelson, George J., Comas Haynes y William Wepfer. "A Fractal Approach for Modeling SOFC Electrode Mass Transport". En ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12870.
Texto completoHyodo, Katsuya, Naoki Wakamiya y Masayuki Murata. "Reaction-Diffusion based Autonomous Control of Camera Sensor Networks". En 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.
Texto completoSuthar, Kamlesh J., Muralidhar K. Ghantasala y Derrick C. Mancini. "Simulation of Hydrogel Responsiveness to Blood Glucose". En 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.
Texto completoBhaumik, B. y C. M. Markan. "Orientation map: a reaction-diffusion based model". En 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.
Texto completoSzatmari, Istvan. "Pattern formation in oscillatory media: Beyond reaction-diffusion model". En 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010). IEEE, 2010. http://dx.doi.org/10.1109/cnna.2010.5430312.
Texto completoIshizaki, Takayuki, Kenji Kashima, Jun-ichi Imura y Kazuyuki Aihara. "Model order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation". En 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990628.
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