Literatura académica sobre el tema "Network model"
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Artículos de revistas sobre el tema "Network model"
HRABCAK, David y Lubomir DOBOS. "THE CONCEPT OF MULTILAYERED NETWORK MODEL FOR 5G NETWORKS". Acta Electrotechnica et Informatica 19, n.º 3 (4 de diciembre de 2019): 39–43. http://dx.doi.org/10.15546/aeei-2019-0022.
Texto completoKoide, Satoshi, Hiroshi Ohno, Ryuta Terashima, Thanomsak Ajjanapanya y Itti Rittaporn. "Hidden Markov Flow Network Model: A Generative Model for Dynamic Flow on a Network". International Journal of Machine Learning and Computing 4, n.º 4 (2014): 319–27. http://dx.doi.org/10.7763/ijmlc.2014.v4.431.
Texto completoUsui, Shohei, Fujio Toriumi, Masato Matsuo, Takatsugu Hirayama y Kenji Mase. "Greedy Network Growth Model of Social Network Service". Journal of Advanced Computational Intelligence and Intelligent Informatics 18, n.º 4 (20 de julio de 2014): 590–97. http://dx.doi.org/10.20965/jaciii.2014.p0590.
Texto completoMurugan, S. y Dr M. Jeyakarthic. "Optimal Deep Neural Network based Classification Model for Intrusion Detection in Mobile Adhoc Networks". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 10-SPECIAL ISSUE (31 de octubre de 2019): 1374–87. http://dx.doi.org/10.5373/jardcs/v11sp10/20192983.
Texto completoHrabcak, David, Lubomir Dobos, Jan Papaj y Lubos Ovsenik. "Multilayered Network Model for Mobile Network Infrastructure Disruption". Sensors 20, n.º 19 (25 de septiembre de 2020): 5491. http://dx.doi.org/10.3390/s20195491.
Texto completoPardo, Raúl y Gerardo Schneider. "Model Checking Social Network Models". Electronic Proceedings in Theoretical Computer Science 256 (6 de septiembre de 2017): 238–52. http://dx.doi.org/10.4204/eptcs.256.17.
Texto completoScott, Gary M. y W. Harmon Ray. "Neural Network Process Models Based on Linear Model Structures". Neural Computation 6, n.º 4 (julio de 1994): 718–38. http://dx.doi.org/10.1162/neco.1994.6.4.718.
Texto completoXu, Shuai y Bai Da Zhang. "Complex Network Model and its Application". Advanced Materials Research 791-793 (septiembre de 2013): 1589–92. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1589.
Texto completoOuassit, Youssef. "CT Liver Segmentation: A Capsules Network Model". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31 de marzo de 2020): 1016–24. http://dx.doi.org/10.5373/jardcs/v12sp4/20201574.
Texto completoDjellali, Choukri y Mehdi adda. "An Enhanced Deep Learning Model to Network Attack Detection, by using Parameter Tuning, Hidden Markov Model and Neural Network". Journal of Ubiquitous Systems and Pervasive Networks 15, n.º 01 (1 de marzo de 2021): 35–41. http://dx.doi.org/10.5383/juspn.15.01.005.
Texto completoTesis sobre el tema "Network model"
Xiaodan, Xie. "Network Interdiction Model on Interdependent Incomplete Network". Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1593537784177702.
Texto completoMao, Ai-sheng. "A Theoretical Network Model and the Incremental Hypercube-Based Networks". Thesis, University of North Texas, 1995. https://digital.library.unt.edu/ark:/67531/metadc277860/.
Texto completoKuehn, Daniel y Sofia Ljunggren. "Refining a Network Model Concerning Network Security Risk Analysis". Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154355.
Texto completoP²CySeMoL är ett ramverk där säkerhetsrisker beräknas och redovisas i form av ett värde som hän-visar till sannolikheten att en attack lyckas i ett system, huvudsakligen SCADA system. Den här avhandlingen behandlar skapandet av en mer detaljerad nätverksmodul för säkerhetsriskramverket P²CySeMoL för att bättre representera ett nätverks konkreta moduler och för att möjliggöra analys av säkerhetsrisker rörande en nätverksinfrastruktur på ett mer detaljerat sätt. Den här rapporten beskriver skapandet av en nätverksmodul med en bas i OSI-modellen. Den är replikerad på ett sätt att den är en extension av P²CySeMoL metamodell, utan att omstrukturera den. Det omfattar även en mindre undersökning för att kontrollera och samla återkoppling på den skapade modulen från säkerhet- och nätverksexperter samt en analys av undersökningen. Slutsatsen fastställer att nätverksmodulen är en bra bas att bygga vidare på och den återspeglar till hög grad en modell som behövs för att göra säkerhetsriskanalyser på en infrastruktur, förslag om ytterligare validering och forskning för att förbättra modulnätet beskrivs. Det här arbetet har producerats i samarbete med Spotify och delar av teamet bakom P²CySeMoL vidICS avdelningen på KTH.
Gammelgård, Magnus. "The network performance assessment model". Licentiate thesis, KTH, Electrical Systems, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1746.
Texto completoThe electricity distribution in Sweden is experiencing aconsiderable change in conditions by the radical change inregulation policy. The Swedish Energy Agency(Energimyndigheten) is introducing a new regulatory model, theNetwork Performance Assessment Model, as the main tool forsupervising the natural monopolies of local electricitydistribution. The new model has interesting and far-reachingconsequences for the involved parties.
This thesis investigates the implications of the newregulation and the regulatory tool, in particularly related toIT-investments evaluations in the distribution utilities. Intodays utilities, IT-systems are often a vital part ofoperations, ranging from e.g. real-time monitoring andcontrolling of the network to various administrative tasks.Considerable amounts of money are spent on investments toenhance and maintain these IT-systems. The changed regulationand the new regulatory model put a focus, more than ever, onefficient use of utilitiesresources, implying a need forsuitable methods to evaluate ITinvestments.
In the thesis, the new regulation is described, inparticular the new regulatory model. The model is presented andcentral implications are identified, e.g. in terms of newrequirements put on the utilities and general businessconsequences. As stated, the focus is on implications relatedto IT-systems and investments in these systems.
Furthermore, a wide range of IT-investment evaluationmethods are presented and categorized in the thesis, focusingon IT-investment appraisal techniques. The categories rangesfrom methods only considering cash flows of investments to moreelaborate methods, e.g. for considering behavioral sciencesaspects. The thesis outlines and presents categories of methodsas well as examples of individual methods.
In the final part of the thesis, suitable IT-investmentevaluation methods, given the implications of the newregulation, are discussed. The implications include both directbusiness related aspects as well as more technical issuesrelated to the IT-investments. It is also concluded that asuitable method need to incorporate both monetary consequencesof the investment as well as a limited number of non-monetary,related to the regulatory model.
Key words:Regulation of electricity distribution,IT-investment evaluation methods, Implications of monopolyregulation
QC 20100608
Arulselvan, Ashwin. "Network model for disaster management". [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024855.
Texto completoLundy, G. M. "Systems of communicating machines : a model for communication protocols". Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/8210.
Texto completoYao, Ye. "Ad Hoc Networks Measurement Model and Methods Based on Network Tomography". Phd thesis, Université de Technologie de Belfort-Montbeliard, 2011. http://tel.archives-ouvertes.fr/tel-00636282.
Texto completoAl-Musawi, Ahmad Jr. "COMPLEX NETWORK GROWING MODEL USING DOWNLINK MOTIFS". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3088.
Texto completoDraai, Kevin. "A model for assessing and reporting network performance measurement in SANReN". Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/16131.
Texto completoJones, Thomas Carroll Jr. "JigCell Model Connector: Building Large Molecular Network Models from Components". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78277.
Texto completoMaster of Science
Libros sobre el tema "Network model"
Network, Canadian Model Forest. Canadian Model Forest Network achievements. [Ottawa]: Natural Resources Canada, 2006.
Buscar texto completoWasserman, Theodore y Lori Drucker Wasserman. Apraxia: The Neural Network Model. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24105-5.
Texto completoBlack, Uyless. OSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.
Buscar texto completoOSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.
Buscar texto completoWasserman, Theodore y Lori Drucker Wasserman. Therapy and the Neural Network Model. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26921-0.
Texto completoEstrada, James. Connections: A report on network model options. Hartford, Conn: Connecticut State Library, 1993.
Buscar texto completoChristakis, Nicholas A. An empirical model for strategic network formation. Cambridge, MA: National Bureau of Economic Research, 2010.
Buscar texto completoA neural network model of lexical organization. London: Continuum Intl Pub Group, 2009.
Buscar texto completoFortescue, Michael D. A neural network model of lexical organization. London: Continuum, 2011.
Buscar texto completoWasserman, Theodore y Lori Wasserman. Motivation, Effort, and the Neural Network Model. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58724-6.
Texto completoCapítulos de libros sobre el tema "Network model"
Stańczak, Sławomir, Marcin Wiczanowski y Holger Boche. "Network Model". En Fundamentals of Resource Allocation in Wireless Networks, 85–117. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-79386-1_4.
Texto completoNicoletti, Bernardo. "SCOR Model". En Supply Network 5.0, 19–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22032-6_2.
Texto completoBijalwan, Anchit. "Network Forensics Process Model". En Network Forensics, 53–75. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003045908-4.
Texto completoShekhar, Shashi y Hui Xiong. "Network Data Model". En Encyclopedia of GIS, 787. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_876.
Texto completoFeng, Jun y Toyohide Watanabe. "Road Network Model". En Index and Query Methods in Road Networks, 41–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10789-9_3.
Texto completoHainaut, Jean-Luc. "Network Data Model". En Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_246-2.
Texto completoChang, Gerard J., Lirong Cui y Frank K. Hwang. "The Network Model". En Network Theory and Applications, 111–26. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4613-0273-5_7.
Texto completoRawolle, Shaun, Muriel Wells, Louise Paatsch, Russell Tytler y Coral Campbell. "The Network Model". En Improving Schools, 25–41. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-931-8_2.
Texto completoShekhar, Shashi y Hui Xiong. "Roadway Network Model". En Encyclopedia of GIS, 979. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1141.
Texto completoShekhar, Shashi y Hui Xiong. "Spatial Network Model". En Encyclopedia of GIS, 1102. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1287.
Texto completoActas de conferencias sobre el tema "Network model"
Burgueno, Loli, Jordi Cabot y Sebastien Gerard. "An LSTM-Based Neural Network Architecture for Model Transformations". En 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00013.
Texto completoMartins, João, José M. Fonseca, Rafael Costa, José C. Campos, Alcino Cunha, Nuno Macedo y José N. Oliveira. "Verification of railway network models with EVEREST". En MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550355.3552439.
Texto completoSalem, Ahmed, Michael Backes y Yang Zhang. "Get a Model! Model Hijacking Attack Against Machine Learning Models". En Network and Distributed System Security Symposium. Reston, VA: Internet Society, 2022. http://dx.doi.org/10.14722/ndss.2022.23064.
Texto completoJohrendt, Jennifer L. y Peter R. Frise. "Neural Network Bushing Model Development Using Simulation". En ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28103.
Texto completoFerrandiz, Thomas, Fabrice Frances y Christian Fraboul. "A Network Calculus Model for SpaceWire Networks". En 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). IEEE, 2011. http://dx.doi.org/10.1109/rtcsa.2011.42.
Texto completoDahai Han, Kai Zhang, Xinyuan Lai y Min Zhao. "Novel network simulation model of sensor networks with complex network charateristics". En IET International Conference on Communication Technology and Application (ICCTA 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0713.
Texto completoShi, Zhanqun, Yibo Fan, Fengshou Gu, Abdul-Hannan Ali y Andrew Ball. "Neural Network Modelling Applied for Model-Based Fault Detection". En ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58197.
Texto completoPikatza, Naiara, Izaskun Álvarez-Meaza, Rosa María Río-Belver y Ernesto Cilleruelo. "Strategic Open Innovation model: mapping Iberdrola network". En CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11610.
Texto completoSchneider, Ben. "Automatic Network Configuration for Real-Time, Distributed Industrial Automation Systems". En 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00096.
Texto completoKaraduman, Burak, Sadaf Mustafiz y Moharram Challenger. "FTG+PM for the Model-Driven Development of Wireless Sensor Network based IoT Systems". En 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00052.
Texto completoInformes sobre el tema "Network model"
Yoo, Wucherl y Alex Sim. Network Bandwidth Utilization Forecast Model on High Bandwidth Network. Office of Scientific and Technical Information (OSTI), julio de 2014. http://dx.doi.org/10.2172/1136782.
Texto completoBierman, A. y M. Bjorklund. Network Configuration Access Control Model. RFC Editor, marzo de 2018. http://dx.doi.org/10.17487/rfc8341.
Texto completoBerger, L., C. Hopps, A. Lindem, D. Bogdanovic y X. Liu. YANG Data Model for Network Instances. RFC Editor, marzo de 2019. http://dx.doi.org/10.17487/rfc8529.
Texto completoBerger, L., C. Hopps, A. Lindem, D. Bogdanovic y X. Liu. YANG Model for Logical Network Elements. RFC Editor, marzo de 2019. http://dx.doi.org/10.17487/rfc8530.
Texto completoMoreaux, Alexandre, Samantha Gamboa, David Griffith y Richard Rouil. UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks. National Institute of Standards and Technology, abril de 2021. http://dx.doi.org/10.6028/nist.tn.2149.
Texto completoMakedonska, Nataliia, Elchin Jararov y Lianjie Huang. Flow Simulation Using Discrete Fracture Network Model. Office of Scientific and Technical Information (OSTI), septiembre de 2018. http://dx.doi.org/10.2172/1469490.
Texto completoZisiadis, D., S. Kopsidas, M. Tsavli y G. Cessieux, eds. The Network Trouble Ticket Data Model (NTTDM). RFC Editor, febrero de 2011. http://dx.doi.org/10.17487/rfc6137.
Texto completoBierman, A. y M. Bjorklund. Network Configuration Protocol (NETCONF) Access Control Model. RFC Editor, marzo de 2012. http://dx.doi.org/10.17487/rfc6536.
Texto completoKonrad, A. M., M. Perez, J. Rivera, Y. Rodriguez, M. J. Durst, D. W. Merrill y H. H. Holmes. Investigation of network-based information system model. Office of Scientific and Technical Information (OSTI), septiembre de 1996. http://dx.doi.org/10.2172/409897.
Texto completoChristakis, Nicholas, James Fowler, Guido Imbens y Karthik Kalyanaraman. An Empirical Model for Strategic Network Formation. Cambridge, MA: National Bureau of Economic Research, mayo de 2010. http://dx.doi.org/10.3386/w16039.
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