Relevant bibliographies by topics / Network of Networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Network of Networks'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Network of Networks"

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PELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.

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We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.
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Shydlovskyi, P., and Ya Morozova. "FOREWORD: Network Approach for Studying the Prehistoric Networks." Vita Antiqua 1, no. 10 (2018): 6–12. http://dx.doi.org/10.37098/2519-4542-2018-1-10-6-12.

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THATIPAMULA RAJU, THATIPAMULA RAJU, and D. DEEPIKA RANI D. DEEPIKA RANI. "Achieving Network Level Privacy in Wireless Sensor Networks." International Journal of Scientific Research 2, no. 8 (2012): 183–87. http://dx.doi.org/10.15373/22778179/aug2013/61.

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Kim, Junki. "Networks, Network Governance, and Networked Networks." International Review of Public Administration 11, no. 1 (2006): 19–34. http://dx.doi.org/10.1080/12294659.2006.10805075.

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Yi-Wei Ma, Yi-Wei Ma, Jiann-Liang Chen Yi-Wei Ma, Yu-Liang Tang Jiann-Liang Chen, and Kuan-Hung Lai Yu-Liang Tang. "Towards Adaptive Network Resource Orchestration for Cognitive Radio Networks." 網際網路技術學刊 23, no. 5 (2022): 1087–97. http://dx.doi.org/10.53106/160792642022092305017.

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<p>This work proposes an adaptive resource orchestration system for a Wireless Local Area Network (WLAN) that is based on the operating principle of Cognitive Radio (CR) technology. By collecting environmental parameters, including the retransmission rate and the channel occupancy rate, the proposed system has “knowledge” of overall transmission behavior and can regulate transmission resources. An Adaptive Connection Assignment (ACA) mechanism is proposed for end devices; it find out target end devices with poor transmission performance, analyzes their alternative Acc
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HRABCAK, David, and Lubomir DOBOS. "THE CONCEPT OF MULTILAYERED NETWORK MODEL FOR 5G NETWORKS." Acta Electrotechnica et Informatica 19, no. 3 (2019): 39–43. http://dx.doi.org/10.15546/aeei-2019-0022.

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Yiyuan Xie, Yiyuan Xie, and Zhu Yang Zhu Yang. "All-optical network interface from backbone networks to local area networks based on semiconductor optical amplifiers." Chinese Optics Letters 11, no. 11 (2013): 110605–8. http://dx.doi.org/10.3788/col201311.110605.

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Mahat, Norpah, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan, and Teoh Yeong Kin. "Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance." Journal of Computing Research and Innovation 7, no. 1 (2022): 29–38. http://dx.doi.org/10.24191/jcrinn.v7i1.264.

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Predicting students’ academic performance is very essential to produce high-quality students. The main goal is to continuously help students to increase their ability in the learning process and to help educators as well in improving their teaching skills. Therefore, this study was conducted to predict mathematics students’ performance using Artificial Neural Network (ANN). The secondary data from 382 mathematics students from UCI Machine Learning Repository Data Sets used to train the neural networks. The neural network model built using nntool. Two inputs are used which are the first and the
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Naranjo Orovio, Consuelo. "A network of networks." HAU: Journal of Ethnographic Theory 11, no. 1 (2021): 52–66. http://dx.doi.org/10.1086/713372.

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Iedema, Rick, Raj Verma, Sonia Wutzke, Nigel Lyons, and Brian McCaughan. "A network of networks." Journal of Health Organization and Management 31, no. 2 (2017): 223–36. http://dx.doi.org/10.1108/jhom-07-2016-0146.

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Purpose To further our insight into the role of networks in health system reform, the purpose of this paper is to investigate how one agency, the NSW Agency for Clinical Innovation (ACI), and the multiple networks and enabling resources that it encompasses, govern, manage and extend the potential of networks for healthcare practice improvement. Design/methodology/approach This is a case study investigation which took place over ten months through the first author’s participation in network activities and discussions with the agency’s staff about their main objectives, challenges and achievemen
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Dissertations / Theses on the topic "Network of Networks"

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Rivas, Antonio Canales. "Network management using active networks." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/4781.

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Wells, Daniel David. "Network management for community networks." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1006587.

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Community networks (in South Africa and Africa) are often serviced by limited bandwidth network backhauls. Relative to the basic needs of the community, this is an expensive ongoing concern. In many cases the Internet connection is shared among multiple sites. Community networks may also have a lack of technical personnel to maintain a network of this nature. Hence, there is a demand for a system which will monitor and manage bandwidth use, as well as network use. The proposed solution for community networks and the focus within this dissertation, is a system of two parts. A Community Access P
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Gaddam, Nishanth. "Network coding in wireless networks." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468982.

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Ellerbrock, Thomas M. "Multilayer neural networks learnability, network generation, and network simplification /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958467897.

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Abrahamsen, Morten Hoie. "Sensemaking in networks Using network pictures to understand network change." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506619.

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Kim, Anthony Eli. "On network coding capacity : matroidal networks and network capacity regions." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62657.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 68-70).<br>One fundamental problem in the field of network coding is to determine the network coding capacity of networks under various network coding schemes. In this thesis, we address the problem with two approaches: matroidal networks and capacity regions. In our matroidal approach, we prove the converse of the theorem which states that, if a network is scalar-linearly solvable then it is a m
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Jiang, Shu. "Efficient network camouflaging in wireless networks." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3067.

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Camouflaging is about making something invisible or less visible. Network camouflaging is about hiding certain traffic information (e.g. traffic pattern, traffic flow identity, etc.) from internal and external eavesdroppers such that important information cannot be deduced from it for malicious use. It is one of the most challenging security requirements to meet in computer networks. Existing camouflaging techniques such as traffic padding, MIX-net, etc., incur significant performance degradation when protected networks are wireless networks, such as sensor networks and mobile ad hoc networks.
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Bhatia, Anuj. "Voice network for aviation data networks." Thesis, Wichita State University, 2007. http://hdl.handle.net/10057/1500.

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Airline companies are always looking for various services they can offer to differentiate them from others and increase there market share. On the other hand passengers in the aircraft always want to be in touch with the rest of the world through phone or internet to make there time more productive. The drive of gaining market share by airline companies and advances in wireless and internet technology has made voice communication possible from the aircraft. Present technologies offer cell phone access or allow voice communication over internet through satellite link. The major disadvantage the
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Somalingam, Ramesh Ramvel. "Network performance monitoring for multimedia networks." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23939.

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Multimedia applications require certain guarantees from the underlying system concerning quality of various parameters, such as the throughput, delay, loss rate etc. We assume that such quality of service (QoS) parameters are normally agreed upon for the duration of a session, and should be maintained throughout that session. If a QoS violation occurs, possibly due to the temporary overload of one of the system components, either the user will notice this and may request a renegotiation of the quality and cost parameters, or the system will automatically do some internal reconfiguration in ord
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Alkhawlani, Mohammed Mohssen. "Access network selection in heterogeneous networks." Thesis, De Montfort University, 2008. http://hdl.handle.net/2086/5217.

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The future Heterogeneous Wireless Network (HWN) is composed of multiple Radio Access Technologies (RATs), therefore new Radio Resource Management (RRM) schemes and mechanisms are necessary to benefit from the individual characteristics of each RAT and to exploit the gain resulting from jointly considering the whole set of the available radio resources in each RAT. These new RRM schemes have to support mobile users who can access more than one RAT alternatively or simultaneously using a multi-mode terminal. An important RRM consideration for overall HWN stability, resource utilization, user sat
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Books on the topic "Network of Networks"

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Dean, Tamara. Network+ guide to networks. Course Technology, Thomson Learning, 2000.

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Jeroen, Van Schaick, Klaasen, I. T. (Ina T.), and Technische Universiteit Delft. Faculteit der Bouwkunde, eds. Urban networks: Network urbanism. Techne Press, 2008.

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Dean, Tamara. Enhanced Network+ guide to networks. Thomson/Course Technology, 2003.

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R, Coover Edwin, ed. Systems network architecture (SNA) networks. IEEE Computer Society Press, 1992.

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Coover, Edwin R. Systems network architecture (SNA) networks. IEEE Computer Society Press, 1992.

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W, Thomas Blair, ed. The Network Press QuickPath to NetWare 4.11 networks. 2nd ed. Network Press, 1997.

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Reichl, Peter, Burkhard Stiller, and Bruno Tuffin, eds. Network Economics for Next Generation Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01796-4.

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Abdelfatteh, Haidine, and Lehnert R, eds. Broadband powerline communications networks: Network design. Wiley, 2004.

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Blomeley, Frances. Networks and network services: A user's guide. Immediate, 1994.

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Choi, Baek-Young, Zhi-Li Zhang, and David Hung-Chang Du. Scalable Network Monitoring in High Speed Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0119-3.

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Book chapters on the topic "Network of Networks"

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de Jesús Cruz Guzmán, José, and Zbigniew Oziewicz. "Network of Networks,." In Computational Science - ICCS 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24687-9_82.

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Assens, Christophe, and Aline Courie Lemeur. "From Network to “Network of Networks”." In Networks Governance, Partnership Management and Coalitions Federation. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137566638_4.

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Pyka, Andreas, and Andrea Scharnhorst. "Introduction: Network Perspectives on Innovations: Innovative Networks – Network Innovation." In Innovation Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92267-4_1.

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Bhuyan, Monowar H., Dhruba K. Bhattacharyya, and Jugal K. Kalita. "Networks and Network Traffic Anomalies." In Computer Communications and Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65188-0_2.

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Rao, Umesh Hodeghatta, and Umesha Nayak. "Understanding Networks and Network Security." In The InfoSec Handbook. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6383-8_9.

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Fragouli, Christina. "Network Coding for Sensor Networks." In Handbook on Array Processing and Sensor Networks. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470487068.ch20.

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Zaalouk, Adel, and Kostas Pentikousis. "Network Configuration in OpenFlow Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16292-8_7.

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Comer, Douglas E. "Internet: A Network of Networks." In The Internet Book. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9780429447358-10.

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Costa-Pérez, Xavier, Andrés Garcia-Saavedra, Fabio Giust, et al. "Network Slicing for 5G Networks." In 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119333142.ch9.

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Tschudin, Christian. "An Active Networks Overlay Network (ANON)." In Active Networks. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48507-0_14.

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Conference papers on the topic "Network of Networks"

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Krishnamoorthy, Ashok V., Fouad Kiamilev, and Sadik Esener. "A class of packet-switched extended generalized shuffle networks." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.wv4.

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Extended generalized shuffle (EGS) networks1 have recently been proposed as a broad class of multistage interconnection networks (MINs) that include strictly non-blocking networks as well as networks with finite blocking probabilities. These networks can be viewed as extensions to generalized shuffle networks2 (GSNs) that include the facility to fan-out and fan-in at the input and output stages, respectively, of the interconnection network. We present a new class of packets-witched EGS networks. At the heart of these networks is a unipath EGS network that allows a continuous tradeoff between a
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Hagberg, Aric A., Daniel A. Schult, and Pieter J. Swart. "Exploring Network Structure, Dynamics, and Function using NetworkX." In Python in Science Conference. SciPy, 2008. http://dx.doi.org/10.25080/tcwv9851.

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NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self-loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility makes NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network p
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Shi, Min, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, and Jianxun Liu. "GAEN: Graph Attention Evolving Networks." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/213.

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Real-world networked systems often show dynamic properties with continuously evolving network nodes and topology over time. When learning from dynamic networks, it is beneficial to correlate all temporal networks to fully capture the similarity/relevance between nodes. Recent work for dynamic network representation learning typically trains each single network independently and imposes relevance regularization on the network learning at different time steps. Such a snapshot scheme fails to leverage topology similarity between temporal networks for progressive training. In addition to the stati
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Hadi, Mohammad F., and Victor H. Barocas. "Generating Random Fiber Network Topologies That Mimic Previously Characterized Networks." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14615.

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Fibrous proteins, such as collagen and elastin, form the underlying structure of many soft tissues. These proteins form micrometer-scale networks of varying topology that play a role in governing the mechanics of tissues at larger length scales [1]. The relationship between a network’s topology and its mechanics, however, are poorly understood. This disconnect presents an important challenge in constructing realistic multiscale models of tissues informed by collagen network micrographs and subsequently reconstructed networks [2]. Accurate multiscale simulations may require thousands to million
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Shi, Weijia, Andy Shih, Adnan Darwiche, and Arthur Choi. "On Tractable Representations of Binary Neural Networks." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/91.

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We consider the compilation of a binary neural network’s decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and Sentential Decision Diagrams (SDDs). Obtaining this function as an OBDD/SDD facilitates the explanation and formal verification of a neural network’s behavior. First, we consider the task of verifying the robustness of a neural network, and show how we can compute the expected robustness of a neural network, given an OBDD/SDD representation of it. Next, we consider a more efficient approach for compiling neural networks, based on a pseudo-
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Alabbasi, Yahia, Khaled Aboelenen, and Mohammed Sadeq. "New Technique for Flood Risk Assessment of Sub-Networks in Large Networks Using InfoWorks ICM: A Case Study of Qatar's Full Storm Water Network." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0189.

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The elements of the storm water network are made to safely drain most water during a heavy rainstorm. Flood risk modelling (mathematical modelling) with hydraulic software is a good way to check the network's level of service, especially now that technology has changed. Flood risk modelling is an essential method for checking the network sufficiency and adequacy for different kinds of rain. Modelling flood risk should be done for the whole network to ensure that flows are connected and get accurate results. In this study, one-dimensional flood risk modelling is needed for a sub-network that is
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Castillo-Lema, José, Augusto José Venâncio Neto, Flavio de Oliveira Silva, and Sergio Takeo Kofuji. "Network Function Virtualization in Content-Centric Networks." In X Workshop de Pesquisa Experimental da Internet do Futuro. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wpeif.2019.7696.

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Network Functions Virtualization (NFV) offers an alternative way to design, deploy, and manage networking functions and services by leveraging virtualization technologies to consolidate network functions into general-purpose hardware platforms. On the past years extensive effort has been made to evolve and mature NFV tecnologies over IP networks. However, little or no attempts at all have been made to incorporate NFV into Information-Centric Networks (ICN). This work explores the use and implementation of virtual Network Funtions (VNFS)in Content-Centric Networks (CCN), and proposes the use of
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Souza Neto, Natal Vieira de, Maurício Amaral Gonçalves, Daniel Ricardo Cunha Oliveira, Diego Nunes Molinos, Rodrigo Moreira, and Flávio de Oliveira Silva. "Evolved NWDAF Towards a Fully Distributed Artificial Intelligence in the 6G Network Architecture." In Workshop de Redes 6G. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/w6g.2024.3378.

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Artificial Intelligence (AI) is essential for evolving mobile networks towards 6G technology generation and beyond. In this context, the 3GPP has incorporated the Network Data Analytics Function (NWDAF) at the network’s core to leverage network data analytics, focusing on using analytics for automation. However, although NWDAF represents a significant advancement in this area, there is no consensus on deploying AI in the 6G network. This work suggests a framework for developing NWDAF that includes the necessary interfaces and behaviors to enhance the core network with AI capabilities Beyond 5G
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Luo, Dixin, Haoran Cheng, Qingbin Li, and Hongteng Xu. "Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/678.

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Network alignment aims at finding the correspondence of nodes across different networks, which is significant for many applications, e.g., fraud detection and crime network tracing across platforms. In practice, however, accessing the topological information of different networks is often restricted and even forbidden, considering privacy and security issues. Instead, what we observed might be the event sequences of the networks' nodes in the continuous-time domain. In this study, we develop a coupled neural point process-based (CPP) sequence modeling strategy, which provides a solution to pri
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Han, Yu, Jie Tang, and Qian Chen. "Network Embedding under Partial Monitoring for Evolving Networks." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/342.

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Network embedding has been extensively studied in recent years. In addition to the works on static networks, some researchers try to propose new models for evolving networks. However, sometimes most of these dynamic network embedding models are still not in line with the actual situation, since these models have a strong assumption that we can achieve all the changes in the whole network, while in fact we cannot do this in some real world networks, such as the web networks and some large social networks. So in this paper, we study a novel and challenging problem, i.e., network embedding under
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Reports on the topic "Network of Networks"

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Sentz, Kari, and Jacob Green. Threat Network: Network of Networks Graphic. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1162150.

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Gont, F., and T. Chown. Network Reconnaissance in IPv6 Networks. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7707.

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Kornell, James. Network of Networks Final Report 2016. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1755855.

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Kornell, James. Network of Networks Final Report 2016. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1755855.

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Lin, Mengjou, Jenwei Hsieh, David H. Du, Joseph P. Thomas, and James A. MacDonald. Distributed Network Computing Over Local ATM Networks. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada388752.

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Sutton, Jeffrey P. Reconfigurable Network of Networks for Multiscale Computing. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389675.

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Zhang, Junshan. Networked Information Gathering in Stochastic Sensor Networks: Compressive Sensing, Adaptive Network Coding and Robustness. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590144.

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Sutton, Jeffrey. Reconfigurable Network of Networks for Multi-Scale Computing. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405332.

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Mansfield, S., E. Gray, and K. Lam, eds. Network Management Framework for MPLS-based Transport Networks. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc5950.

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Lam, K., S. Mansfield, and E. Gray. Network Management Requirements for MPLS-based Transport Networks. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc5951.

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