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Jordan Etem's video: Oracle and Tesla: Learning Network - Smart City as a Service SCaaS

@Oracle and Tesla: Learning Network - Smart City as a Service. (SCaaS)
Learning Network - Smart City as a Service. (SCaaS) Jones EPC, Li L, Schmidtke JK, Ward PAS. Practical routing in delay-tolerant networks. IEEE Trans Mob Comput. 2007;6(8):943–59. Kuhn F, Lynch N, Oshman R. Distributed computation in dynamic networks, Proceedings of 42nd ACM Symposium on theory of computing (STOC). 2010; 513–522. Konschake M, Lentz HH, Conraths FJ, Hövel PH, Selhorst T. On the robustness of in-and out-components in a temporal network. PloS ONE. 2013;8(2):e55223. Casteigts A, Flocchini P, Quattrociocchi W, Santoro N. Time-varying graphs and dynamic networks. Int J Parallel Emerg Distrib Syst. 2012;27(5):387–408. Gaudet J. It takes two to tango: knowledge mobilization and ignorance mobilization in science research and innovation. Prometheus. 2013;13(3):169–87. Binz C, Truffer B, Coenen L. Why space matters in technological innovation systems mapping global knowledge dynamics of membrane bioreactor technology. Res Policy. 2014;43(1):138–55. Boland WP, Phillips PWB, Ryan CD, McPhee-Knowles S. Collaboration and the generation of new knowledge in networked innovation systems: a bibliometric analysis. Procedia Soc Behav Sci. 2012;52:15–24. Eppler MJ. Making knowledge visible through intranet knowledge maps: concepts, elements, cases. Proceedings of 34th Annual Hawaii international conference on system sciences. 2001; 9–19. Kossinets G, Kleinberg J, Watts D. The structure of information pathways in a social communication network, Proceedings of 14th international conference on knowledge discovery and data mining (KDD).2008; 435–443. Xuan B, Ferreira A, Jarry A. Computing shortest, fastest, and foremost journeys in dynamic networks. Int J Found Comput Sci. 2003;14(02):267–85. Barthelemy M. Betweenness centrality in large complex networks. Eur Phys J B-Condens Matter Complex Syst. 2004;38(2):163–8. Brandes U. On variants of shortest-path betweenness centrality and their generic computation. Soc Netw. 2008;30(2):136–45. Valiant LG. The complexity of enumeration and reliability problems. SIAM J Comput. 1979;8(3):410–21. Law J. Notes on the theory of the actor-network: ordering, strategy, and heterogeneity. Syst pract. 1992;5(4):379–93. Defazio, A., Bach, F., Lacoste-Julien, S.: SAGA: a fast incremental gradient method with support for non-strongly convex composite objectives. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 27, pp. 1646–1654. Curran Associates, Inc. (2014) Baydin, A.G., Cornish, R., Rubio, D.M., Schmidt, M., Wood, F.: Online learning rate adaptation with hypergradient descent. In: ICLR (2018)

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This video was published on 2021-12-01 17:16:56 GMT by @Jordan-Etem on Youtube. Jordan Etem has total 1.8K subscribers on Youtube and has a total of 814 video.This video has received 0 Likes which are lower than the average likes that Jordan Etem gets . @Jordan-Etem receives an average views of 4.5 per video on Youtube.This video has received 0 comments which are lower than the average comments that Jordan Etem gets . Overall the views for this video was lower than the average for the profile.Jordan Etem #USA #Market #TeamBasics #Community #5G has been used frequently in this Post.

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