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Artykuły w czasopismach na temat "Networks dynamic"
CHIU, CHINCHUAN, i MICHAEL A. SHANBLATT. "HUMAN-LIKE DYNAMIC PROGRAMMING NEURAL NETWORKS FOR DYNAMIC TIME WARPING SPEECH RECOGNITION". International Journal of Neural Systems 06, nr 01 (marzec 1995): 79–89. http://dx.doi.org/10.1142/s012906579500007x.
Pełny tekst źródłaSun, Zejun, Jinfang Sheng, Bin Wang, Aman Ullah i FaizaRiaz Khawaja. "Identifying Communities in Dynamic Networks Using Information Dynamics". Entropy 22, nr 4 (9.04.2020): 425. http://dx.doi.org/10.3390/e22040425.
Pełny tekst źródłaLevin, Ilya, Mark Korenblit i Vadim Talis. "STUDY OF SOCIAL NETWORKS’ DYNAMICS BY SIMULATION WITHIN THE NODEXL-EXCEL ENVIRONMENT". Problems of Education in the 21st Century 54, nr 1 (20.06.2013): 125–37. http://dx.doi.org/10.33225/pec/13.54.125.
Pełny tekst źródłaMelamed, David, Ashley Harrell i Brent Simpson. "Cooperation, clustering, and assortative mixing in dynamic networks". Proceedings of the National Academy of Sciences 115, nr 5 (16.01.2018): 951–56. http://dx.doi.org/10.1073/pnas.1715357115.
Pełny tekst źródłaNie, Chun-Xiao. "Hurst analysis of dynamic networks". Chaos: An Interdisciplinary Journal of Nonlinear Science 32, nr 2 (luty 2022): 023130. http://dx.doi.org/10.1063/5.0070170.
Pełny tekst źródłaIedema, Rick, Raj Verma, Sonia Wutzke, Nigel Lyons i Brian McCaughan. "A network of networks". Journal of Health Organization and Management 31, nr 2 (10.04.2017): 223–36. http://dx.doi.org/10.1108/jhom-07-2016-0146.
Pełny tekst źródłaGalizia, Roberto, i Petri T. Piiroinen. "Regions of Reduced Dynamics in Dynamic Networks". International Journal of Bifurcation and Chaos 31, nr 06 (maj 2021): 2150080. http://dx.doi.org/10.1142/s0218127421500802.
Pełny tekst źródłaWu, Wei, i Xuemeng Zhai. "DyLFG: A Dynamic Network Learning Framework Based on Geometry". Entropy 25, nr 12 (30.11.2023): 1611. http://dx.doi.org/10.3390/e25121611.
Pełny tekst źródłaChen, Kevin S. "Optimal Population Coding for Dynamic Input by Nonequilibrium Networks". Entropy 24, nr 5 (25.04.2022): 598. http://dx.doi.org/10.3390/e24050598.
Pełny tekst źródłaChen, Kevin S. "Optimal Population Coding for Dynamic Input by Nonequilibrium Networks". Entropy 24, nr 5 (25.04.2022): 598. http://dx.doi.org/10.3390/e24050598.
Pełny tekst źródłaRozprawy doktorskie na temat "Networks dynamic"
Horsch, Michael C. "Dynamic Bayesian networks". Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28909.
Pełny tekst źródłaScience, Faculty of
Computer Science, Department of
Graduate
Fard, Pedram J. "Dynamic reconfiguration of network topology in optical networks". College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7412.
Pełny tekst źródłaThesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Robinson, Anthony John. "Dynamic error propagation networks". Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303145.
Pełny tekst źródłaAl-Dujaily, Ra'ed. "Embedded dynamic programming networks for networks-on-chip". Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/1884.
Pełny tekst źródłaHellmann, Tim. "Stable networks in static and dynamic models of network formation". Hamburg Kovač, 2009. http://d-nb.info/1001547497/04.
Pełny tekst źródłaHo, Koki. "Dynamic network modeling for spaceflight logistics with time-expanded networks". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98557.
Pełny tekst źródłaThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 139-145).
This research develops a dynamic logistics network formulation for high-level lifecycle optimization of space mission sequences in order to find an optimal space transportation architecture considering its technology trades over time. The proposed methodology is inspired by terrestrial logistics analysis techniques based on linear programming network optimization. A new model with a generalized multi-commodity network flow formulation and a time-expanded network is developed for dynamic space logistics optimization. The developed methodology is applied to three case studies: 1) human exploration of Mars; 2) human exploration of a near-Earth object (NEO); 3) their combination (related to the concept of the Flexible Path). The results reveal multiple dynamic system-level trades over time and provide recommendations for an optimal strategy for human space exploration architecture. The considered trades include those between in-situ resource utilization (ISRU) and propulsion technologies as well as orbit and depot location selection over time. The numerical results show that using specific combinations of propulsion technologies, ISRU, and other space infrastructure elements effectively, we can reduce the initial mass in low- Earth orbit (IMLEO) by 45-50% compared with the baseline architecture. In addition, the analysis results also show that we can achieve 15-20% IMLEO reduction by designing Mars and NEO missions together as a campaign compared with designing them separately owing to their common space logistics infrastructure pre-deployment. This research serves as a precursor for eventual permanent settlement and colonization of other planets by humans, thus transforming us into a multi-planet species.
by Koki Ho.
Ph. D.
Bienkowski, Marcin. "Page migration in dynamic networks". [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976779188.
Pełny tekst źródłaMay, Alex. "Tensor networks for dynamic spacetimes". Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62730.
Pełny tekst źródłaScience, Faculty of
Physics and Astronomy, Department of
Graduate
Lesiuk, Bryan Cameron. "Dynamic routing for measurement networks". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ62556.pdf.
Pełny tekst źródłaAfsariardchi, Niloufar. "Community detection in dynamic networks". Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114565.
Pełny tekst źródłaUne représentation raisonnable de certains systèmes complexes tels que les systèmes sociaux et biologiques est une topologie de réseau qui permet à ses composants et les interactions entre eux de changer au fil du temps. Comprendre la dépendance temporelle de ces réseaux, conduire à de précieux renseignements sur les caractéristiques et la structure de variables dans le temps des réseaux. Dans cette thèse, plusieurs classes d'algorithmes de clustering statiques et dynamiques et des idées sont passées en revue. Un défi se pose dans des plans de regroupement dynamiques est que les communautés détectées ne sont pas indépendants dans le temps et les grappes fondées à un moment donné du temps ne doit pas s'écarter de façon spectaculaire à partir des résultats de pas de temps précédents. Spécialement, il est de l'importance de diminuer de fortes variations à court terme et d'assurer que les communautés progressivement changer au fil du temps. Ici, nous présentons une nouvelle méthode qui repose sur un modèle bayésien génératif probabiliste pour résoudre le problème de l'identification des communautés stables et cohérentes qui se chevauchent dans les réseaux dynamiques. Réseaux synthétiques et réelles sont utilisées pour évaluer la performance par rapport à différents paramètres, la sélection pour modèle, et le moment de l'exécution de l'algorithme proposé. Analyse de la performance indique quel'algorithme proposé dans cette thèse surpasse plusieurs autres algorithmes et révèle l'aperçu inestimable d'un réseau e-mail réelle.
Książki na temat "Networks dynamic"
Romano, Aldo, i Giustina Secundo, red. Dynamic Learning Networks. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0251-1.
Pełny tekst źródłaKlein, Stefan, i Angeliki Poulymenakou, red. Managing Dynamic Networks. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/3-540-32884-x.
Pełny tekst źródłaRan, Bin, i David Boyce. Modeling Dynamic Transportation Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80230-0.
Pełny tekst źródłaElhoseny, Mohamed, i Aboul Ella Hassanien. Dynamic Wireless Sensor Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92807-4.
Pełny tekst źródłaOteafy, Sharief M. A., i Hossam S. Hassanein. Dynamic Wireless Sensor Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118761977.
Pełny tekst źródłaDynamic ad hoc networks. Stevenage: The Institution of Engineering and Technology, 2013.
Znajdź pełny tekst źródłaConte, Marco. Dynamic Routing in Broadband Networks. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0251-7.
Pełny tekst źródłaGupta, Madan M., Liang Jin i Noriyasu Homma. Static and Dynamic Neural Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471427950.
Pełny tekst źródłaAsh, Gerald R. Dynamic routing in telecommunications networks. New York: McGraw Hill, 1998.
Znajdź pełny tekst źródłaConte, Marco. Dynamic Routing in Broadband Networks. Boston, MA: Springer US, 2003.
Znajdź pełny tekst źródłaCzęści książek na temat "Networks dynamic"
Kolaczyk, Eric D., i Gábor Csárdi. "Dynamic Networks". W Use R!, 207–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44129-6_11.
Pełny tekst źródłaKolaczyk, Eric D., i Gábor Csárdi. "Dynamic Networks". W Use R!, 179–95. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0983-4_10.
Pełny tekst źródłaSimmons, Jane M. "Dynamic Optical Networking". W Optical Networks, 349–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05227-4_8.
Pełny tekst źródłaMalkhi, Dahlia. "Dynamic Lookup Networks". W Future Directions in Distributed Computing, 93–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37795-6_17.
Pełny tekst źródłaMeng, Xiaofeng, i Jidong Chen. "Dynamic Transportation Networks". W Moving Objects Management, 137–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13199-8_10.
Pełny tekst źródłaMuthuswamy, Bharathwaj, i Santo Banerjee. "Dynamic Nonlinear Networks". W Introduction to Nonlinear Circuits and Networks, 199–314. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67325-7_4.
Pełny tekst źródłaWebb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander i in. "Dynamic Decision Networks". W Encyclopedia of Machine Learning, 298. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_235.
Pełny tekst źródłaGarces, Freddy, Victor M. Becerra, Chandrasekhar Kambhampati i Kevin Warwick. "Dynamic Neural Networks". W Advances in Industrial Control, 61–99. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0065-2_4.
Pełny tekst źródłaWang, Lin. "Dynamic Bayesian Networks". W Encyclopedia of Systems Biology, 619–20. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_428.
Pełny tekst źródłaDavey, Adam, Maximiliane E. Szinovacz i Katherine W. Bauer. "Dynamic care networks". W Diverse Perspectives on Aging in a Changing World, 86–103. London : Routledge, 2017. | Series: Routledge studies in health: Routledge, 2016. http://dx.doi.org/10.4324/9781315638386-7.
Pełny tekst źródłaStreszczenia konferencji na temat "Networks dynamic"
Jha, Devesh K., Thomas A. Wettergren i Asok Ray. "Adaptive Optimal Power Trade-Off in Underwater Sensor Networks". W ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3717.
Pełny tekst źródłaWang, Bo, Sergey Nersesov i Hashem Ashrafiuon. "Formation Control for Underactuated Surface Vessel Networks". W ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3178.
Pełny tekst źródłaMohammadi, Rasul, Esmaeil Naderi, Khashayar Khorasani i Shahin Hashtrudi-Zad. "Fault Diagnosis of Gas Turbine Engines by Using Dynamic Neural Networks". W ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23586.
Pełny tekst źródłaNadini, Matthieu, Alessandro Rizzo i Maurizio Porfiri. "Contagion Processes Over Temporal Networks With Time-Varying Backbones". W ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9054.
Pełny tekst źródłaYu, Wenchao, Wei Cheng, Charu C. Aggarwal, Haifeng Chen i Wei Wang. "Link Prediction with Spatial and Temporal Consistency in Dynamic Networks". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/467.
Pełny tekst źródłaDarabi, Atefe, i Milad Siami. "Dynamic Centrality in Metapopulation Networks: Incorporating Dynamics and Network Structure". W 2023 31st Mediterranean Conference on Control and Automation (MED). IEEE, 2023. http://dx.doi.org/10.1109/med59994.2023.10185681.
Pełny tekst źródłaShi, Min, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang i Jianxun Liu. "GAEN: Graph Attention Evolving Networks". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/213.
Pełny tekst źródłaMotato, Eliot, i Clark Radcliffe. "Recursive Assembly of Multi-Layer Perceptron Neural Networks". W ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5997.
Pełny tekst źródłaBenzaoui, N., M. Szczerban Gonzalez, J. M. Estarán, H. Mardoyan, W. Lautenschlaeger, U. Gebhard, L. Dembeck, S. Bigo i Y. Pointurier. "Latency control in Deterministic and Dynamic Networks". W Photonic Networks and Devices. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/networks.2019.net3d.4.
Pełny tekst źródłaCai, Shaofeng, Yao Shu i Wei Wang. "Dynamic Routing Networks". W 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. http://dx.doi.org/10.1109/wacv48630.2021.00363.
Pełny tekst źródłaRaporty organizacyjne na temat "Networks dynamic"
Pearl, Judea. Dynamic Constraint Networks. Fort Belvoir, VA: Defense Technical Information Center, luty 1994. http://dx.doi.org/10.21236/ada278396.
Pełny tekst źródłaPearl, Judea. Dynamic Constraints Networks. Fort Belvoir, VA: Defense Technical Information Center, październik 1989. http://dx.doi.org/10.21236/ada219778.
Pełny tekst źródłaWeischedel, Ralph. Extracting Dynamic Evidence Networks. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2004. http://dx.doi.org/10.21236/ada429898.
Pełny tekst źródłaPolydoros, Andreas, Gaylord K. Huth i Unjeng Cheng. Dynamic Jamming of Networks. Fort Belvoir, VA: Defense Technical Information Center, marzec 1990. http://dx.doi.org/10.21236/ada223044.
Pełny tekst źródłaTurcotte, Melissa. Anomaly Detection in Dynamic Networks. Office of Scientific and Technical Information (OSTI), październik 2014. http://dx.doi.org/10.2172/1160097.
Pełny tekst źródłaField, Richard V.,, Hamilton E. Link, Jacek Skryzalin i Jeremy D. Wendt. A dynamic model for social networks. Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1472229.
Pełny tekst źródłaCheng, Unjeng. Static and Dynamic Jamming of Networks. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1987. http://dx.doi.org/10.21236/ada188921.
Pełny tekst źródłaMoore, Allison. Centrality Measures of Dynamic Social Networks. Fort Belvoir, VA: Defense Technical Information Center, listopad 2012. http://dx.doi.org/10.21236/ada571973.
Pełny tekst źródłaPolydoros, Andreas. Packet Radio Networks under Dynamic Jamming. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1989. http://dx.doi.org/10.21236/ada217094.
Pełny tekst źródłaGroves, Taylor, i Ryan Grant. Power Aware Dynamic Provisioning of HPC Networks. Office of Scientific and Technical Information (OSTI), październik 2015. http://dx.doi.org/10.2172/1331496.
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