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Artykuły w czasopismach na temat "Network model"
HRABCAK, David, i Lubomir DOBOS. "THE CONCEPT OF MULTILAYERED NETWORK MODEL FOR 5G NETWORKS". Acta Electrotechnica et Informatica 19, nr 3 (4.12.2019): 39–43. http://dx.doi.org/10.15546/aeei-2019-0022.
Pełny tekst źródłaKoide, Satoshi, Hiroshi Ohno, Ryuta Terashima, Thanomsak Ajjanapanya i Itti Rittaporn. "Hidden Markov Flow Network Model: A Generative Model for Dynamic Flow on a Network". International Journal of Machine Learning and Computing 4, nr 4 (2014): 319–27. http://dx.doi.org/10.7763/ijmlc.2014.v4.431.
Pełny tekst źródłaUsui, Shohei, Fujio Toriumi, Masato Matsuo, Takatsugu Hirayama i Kenji Mase. "Greedy Network Growth Model of Social Network Service". Journal of Advanced Computational Intelligence and Intelligent Informatics 18, nr 4 (20.07.2014): 590–97. http://dx.doi.org/10.20965/jaciii.2014.p0590.
Pełny tekst źródłaMurugan, S., i 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, nr 10-SPECIAL ISSUE (31.10.2019): 1374–87. http://dx.doi.org/10.5373/jardcs/v11sp10/20192983.
Pełny tekst źródłaHrabcak, David, Lubomir Dobos, Jan Papaj i Lubos Ovsenik. "Multilayered Network Model for Mobile Network Infrastructure Disruption". Sensors 20, nr 19 (25.09.2020): 5491. http://dx.doi.org/10.3390/s20195491.
Pełny tekst źródłaPardo, Raúl, i Gerardo Schneider. "Model Checking Social Network Models". Electronic Proceedings in Theoretical Computer Science 256 (6.09.2017): 238–52. http://dx.doi.org/10.4204/eptcs.256.17.
Pełny tekst źródłaScott, Gary M., i W. Harmon Ray. "Neural Network Process Models Based on Linear Model Structures". Neural Computation 6, nr 4 (lipiec 1994): 718–38. http://dx.doi.org/10.1162/neco.1994.6.4.718.
Pełny tekst źródłaXu, Shuai, i Bai Da Zhang. "Complex Network Model and its Application". Advanced Materials Research 791-793 (wrzesień 2013): 1589–92. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1589.
Pełny tekst źródłaOuassit, Youssef. "CT Liver Segmentation: A Capsules Network Model". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31.03.2020): 1016–24. http://dx.doi.org/10.5373/jardcs/v12sp4/20201574.
Pełny tekst źródłaDjellali, Choukri, i 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, nr 01 (1.03.2021): 35–41. http://dx.doi.org/10.5383/juspn.15.01.005.
Pełny tekst źródłaRozprawy doktorskie na temat "Network model"
Xiaodan, Xie. "Network Interdiction Model on Interdependent Incomplete Network". Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1593537784177702.
Pełny tekst źródłaMao, 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/.
Pełny tekst źródłaKuehn, Daniel, i 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.
Pełny tekst źródłaP²CySeMoL 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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaLundy, G. M. "Systems of communicating machines : a model for communication protocols". Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/8210.
Pełny tekst źródłaYao, 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.
Pełny tekst źródłaAl-Musawi, Ahmad Jr. "COMPLEX NETWORK GROWING MODEL USING DOWNLINK MOTIFS". VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3088.
Pełny tekst źródłaDraai, Kevin. "A model for assessing and reporting network performance measurement in SANReN". Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/16131.
Pełny tekst źródłaJones, Thomas Carroll Jr. "JigCell Model Connector: Building Large Molecular Network Models from Components". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78277.
Pełny tekst źródłaMaster of Science
Książki na temat "Network model"
Network, Canadian Model Forest. Canadian Model Forest Network achievements. [Ottawa]: Natural Resources Canada, 2006.
Znajdź pełny tekst źródłaWasserman, Theodore, i Lori Drucker Wasserman. Apraxia: The Neural Network Model. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24105-5.
Pełny tekst źródłaBlack, Uyless. OSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.
Znajdź pełny tekst źródłaOSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.
Znajdź pełny tekst źródłaWasserman, Theodore, i 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.
Pełny tekst źródłaEstrada, James. Connections: A report on network model options. Hartford, Conn: Connecticut State Library, 1993.
Znajdź pełny tekst źródłaChristakis, Nicholas A. An empirical model for strategic network formation. Cambridge, MA: National Bureau of Economic Research, 2010.
Znajdź pełny tekst źródłaA neural network model of lexical organization. London: Continuum Intl Pub Group, 2009.
Znajdź pełny tekst źródłaFortescue, Michael D. A neural network model of lexical organization. London: Continuum, 2011.
Znajdź pełny tekst źródłaWasserman, Theodore, i 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.
Pełny tekst źródłaCzęści książek na temat "Network model"
Stańczak, Sławomir, Marcin Wiczanowski i Holger Boche. "Network Model". W 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.
Pełny tekst źródłaNicoletti, Bernardo. "SCOR Model". W Supply Network 5.0, 19–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22032-6_2.
Pełny tekst źródłaBijalwan, Anchit. "Network Forensics Process Model". W Network Forensics, 53–75. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003045908-4.
Pełny tekst źródłaShekhar, Shashi, i Hui Xiong. "Network Data Model". W Encyclopedia of GIS, 787. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_876.
Pełny tekst źródłaFeng, Jun, i Toyohide Watanabe. "Road Network Model". W 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.
Pełny tekst źródłaHainaut, Jean-Luc. "Network Data Model". W 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.
Pełny tekst źródłaChang, Gerard J., Lirong Cui i Frank K. Hwang. "The Network Model". W Network Theory and Applications, 111–26. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4613-0273-5_7.
Pełny tekst źródłaRawolle, Shaun, Muriel Wells, Louise Paatsch, Russell Tytler i Coral Campbell. "The Network Model". W Improving Schools, 25–41. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-931-8_2.
Pełny tekst źródłaShekhar, Shashi, i Hui Xiong. "Roadway Network Model". W Encyclopedia of GIS, 979. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1141.
Pełny tekst źródłaShekhar, Shashi, i Hui Xiong. "Spatial Network Model". W Encyclopedia of GIS, 1102. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1287.
Pełny tekst źródłaStreszczenia konferencji na temat "Network model"
Burgueno, Loli, Jordi Cabot i Sebastien Gerard. "An LSTM-Based Neural Network Architecture for Model Transformations". W 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.
Pełny tekst źródłaMartins, João, José M. Fonseca, Rafael Costa, José C. Campos, Alcino Cunha, Nuno Macedo i José N. Oliveira. "Verification of railway network models with EVEREST". W 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.
Pełny tekst źródłaSalem, Ahmed, Michael Backes i Yang Zhang. "Get a Model! Model Hijacking Attack Against Machine Learning Models". W Network and Distributed System Security Symposium. Reston, VA: Internet Society, 2022. http://dx.doi.org/10.14722/ndss.2022.23064.
Pełny tekst źródłaJohrendt, Jennifer L., i Peter R. Frise. "Neural Network Bushing Model Development Using Simulation". W ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28103.
Pełny tekst źródłaFerrandiz, Thomas, Fabrice Frances i Christian Fraboul. "A Network Calculus Model for SpaceWire Networks". W 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.
Pełny tekst źródłaDahai Han, Kai Zhang, Xinyuan Lai i Min Zhao. "Novel network simulation model of sensor networks with complex network charateristics". W IET International Conference on Communication Technology and Application (ICCTA 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0713.
Pełny tekst źródłaShi, Zhanqun, Yibo Fan, Fengshou Gu, Abdul-Hannan Ali i Andrew Ball. "Neural Network Modelling Applied for Model-Based Fault Detection". W ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58197.
Pełny tekst źródłaPikatza, Naiara, Izaskun Álvarez-Meaza, Rosa María Río-Belver i Ernesto Cilleruelo. "Strategic Open Innovation model: mapping Iberdrola network". W 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.
Pełny tekst źródłaSchneider, Ben. "Automatic Network Configuration for Real-Time, Distributed Industrial Automation Systems". W 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.
Pełny tekst źródłaKaraduman, Burak, Sadaf Mustafiz i Moharram Challenger. "FTG+PM for the Model-Driven Development of Wireless Sensor Network based IoT Systems". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Network model"
Yoo, Wucherl, i Alex Sim. Network Bandwidth Utilization Forecast Model on High Bandwidth Network. Office of Scientific and Technical Information (OSTI), lipiec 2014. http://dx.doi.org/10.2172/1136782.
Pełny tekst źródłaBierman, A., i M. Bjorklund. Network Configuration Access Control Model. RFC Editor, marzec 2018. http://dx.doi.org/10.17487/rfc8341.
Pełny tekst źródłaBerger, L., C. Hopps, A. Lindem, D. Bogdanovic i X. Liu. YANG Data Model for Network Instances. RFC Editor, marzec 2019. http://dx.doi.org/10.17487/rfc8529.
Pełny tekst źródłaBerger, L., C. Hopps, A. Lindem, D. Bogdanovic i X. Liu. YANG Model for Logical Network Elements. RFC Editor, marzec 2019. http://dx.doi.org/10.17487/rfc8530.
Pełny tekst źródłaMoreaux, Alexandre, Samantha Gamboa, David Griffith i Richard Rouil. UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks. National Institute of Standards and Technology, kwiecień 2021. http://dx.doi.org/10.6028/nist.tn.2149.
Pełny tekst źródłaMakedonska, Nataliia, Elchin Jararov i Lianjie Huang. Flow Simulation Using Discrete Fracture Network Model. Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1469490.
Pełny tekst źródłaZisiadis, D., S. Kopsidas, M. Tsavli i G. Cessieux, red. The Network Trouble Ticket Data Model (NTTDM). RFC Editor, luty 2011. http://dx.doi.org/10.17487/rfc6137.
Pełny tekst źródłaBierman, A., i M. Bjorklund. Network Configuration Protocol (NETCONF) Access Control Model. RFC Editor, marzec 2012. http://dx.doi.org/10.17487/rfc6536.
Pełny tekst źródłaKonrad, A. M., M. Perez, J. Rivera, Y. Rodriguez, M. J. Durst, D. W. Merrill i H. H. Holmes. Investigation of network-based information system model. Office of Scientific and Technical Information (OSTI), wrzesień 1996. http://dx.doi.org/10.2172/409897.
Pełny tekst źródłaChristakis, Nicholas, James Fowler, Guido Imbens i Karthik Kalyanaraman. An Empirical Model for Strategic Network Formation. Cambridge, MA: National Bureau of Economic Research, maj 2010. http://dx.doi.org/10.3386/w16039.
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