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Literatura académica sobre el tema "Multiple network"

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Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Multiple network"

Šubrt, T. "Multiple criteria network models for project management". Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (24 de febrero de 2012): 71–76. http://dx.doi.org/10.17221/5169-agricecon.

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The aim of the paper is to present one possibility of how to model and solve a resource oriented critical path problem. As a starting point, a single criteria model for critical path finding is shortly mentioned. Lately, more criteria functions for this model are defined. If any project task uses more resources for its completion, its duration usually depends on only one of them – other resources are not fully used. In here defined multiple criteria approach, these dependencies are not assumed. Each criteria function is derived from a theoretical task duration based on a number of units of only one resource and on its importance. Using either linear programming model with aggregated criteria function or simple Excel calculation with Microsoft Project software support, a so-called compromise critical path can be found. On this path, some resources are overallocated and some are underallocated but the total sum of all underallocations and all overallocations is minimized. All resources are used as effectively as possible and the project is as short as possible too.

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Li, Xianyong, Ying Tang, Yajun Du y Yanjie Li. "Key Node Discovery Algorithm Based on Multiple Relationships and Multiple Features in Social Networks". Mathematical Problems in Engineering 2021 (12 de octubre de 2021): 1–12. http://dx.doi.org/10.1155/2021/1956356.

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The key nodes play important roles in the processes of information propagation and opinion evolution in social networks. Previous work rarely considered multiple relationships and features into key node discovery algorithms at the same time. Based on the relational networks including the forwarding network, replying network, and mentioning network in a social network, this paper first proposes an algorithm of the overlapping user relational network to extract different relational networks with same nodes. Integrated with these relational networks, a multirelationship network is established. Subsequently, a key node discovery (KND) algorithm is presented on the basis of the shortest path, degree centrality, and random walk features in the multirelationship network. The advantages of the proposed KND algorithm are proved by the SIR propagation model and the normalized discounted cumulative gain on the multirelationship networks and single-relation networks. The experiment’s results show that the proposed KND method for finding the key nodes is superior to other baseline methods on different networks.

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Houidi, Ines, Wajdi Louati, Walid Ben Ameur y Djamal Zeghlache. "Virtual network provisioning across multiple substrate networks". Computer Networks 55, n.º 4 (marzo de 2011): 1011–23. http://dx.doi.org/10.1016/j.comnet.2010.12.011.

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Xiao, Ming, Jorg Kliewer y Mikael Skoglund. "Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks". IEEE Transactions on Communications 60, n.º 12 (diciembre de 2012): 3755–66. http://dx.doi.org/10.1109/tcomm.2012.091012.110121.

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Chen, Gui Mei, Zhong Gui Ma, Sha Ban y Narwani Kamleshd. "Network Coding Based Multiple-Hop Efficient Transmission Method for Multiple-User Multiple-Relay Networks". Advanced Materials Research 998-999 (julio de 2014): 1161–64. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1161.

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A transmission method , combining both the bit error diversity and joint network-channel coding, was proposed for multiple-user multiple-hop multiple-relay networks. In the poposed method, an interleaver was designed for the bit error diversity and a novel protocol was devised for random linear network coding. The proposed method as well as other two methods—Method I without channel code and protection and Method II only with protection, was analyzed by deriving performance expressions in terms of packet error rate (PER) and throughput. Moreover, simulations further prove the superiority of the proposed method. Numerical results show that the proposed method gains an improvement in PER compared with Method I & II and keeps highest throughput within certain range of SNR.

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Duckro, Donald E., Dennis W. Quinn y Samuel J. Gardner. "Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure". Neural Computation 14, n.º 5 (1 de mayo de 2002): 1149–68. http://dx.doi.org/10.1162/089976602753633420.

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Reducing a neural network's complexity improves the ability of the network to generalize future examples. Like an overfitted regression function, neural networks may miss their target because of the excessive degrees of freedom stored up in unnecessary parameters. Over the past decade, the subject of pruning networks produced nonstatistical algorithms like Skeletonization, Optimal Brain Damage, and Optimal Brain Surgeon as methods to remove connections with the least salience. The method proposed here uses the bootstrap algorithm to estimate the distribution of the model parameter saliences. Statistical multiple comparison procedures are then used to make pruning decisions. We show this method compares well with Optimal Brain Surgeon in terms of ability to prune and the resulting network performance.

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Lee, Jaekoo, MyungKeun Yoon y Song Noh. "Advanced Network Sampling with Heterogeneous Multiple Chains". Sensors 21, n.º 5 (9 de marzo de 2021): 1905. http://dx.doi.org/10.3390/s21051905.

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Recently, researchers have paid attention to many types of huge networks such as the Internet of Things, sensor networks, social networks, and traffic networks because of their untapped potential for theoretical and practical outcomes. A major obstacle in studying large-scale networks is that their size tends to increase exponentially. In addition, access to large network databases is limited for security or physical connection reasons. In this paper, we propose a novel sampling method that works effectively for large-scale networks. The proposed approach makes multiple heterogeneous Markov chains by adjusting random-walk traits on the given network to explore the target space efficiently. This approach provides better unbiased sampling results with reduced asymptotic variance within reasonable execution time than previous random-walk-based sampling approaches. We perform various experiments on large networks databases obtained from synthesis to real–world applications. The results demonstrate that the proposed method outperforms existing network sampling methods.

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Xu, Chuanyun, Nanlan Bai, Wenjian Gao, Tian Li, Mengwei Li, Gang Li y Yang Zhang. "Multiple-Stage Knowledge Distillation". Applied Sciences 12, n.º 19 (21 de septiembre de 2022): 9453. http://dx.doi.org/10.3390/app12199453.

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Knowledge distillation (KD) is a method in which a teacher network guides the learning of a student network, thereby resulting in an improvement in the performance of the student network. Recent research in this area has concentrated on developing effective definitions of knowledge and efficient methods of knowledge transfer while ignoring the learning ability of the student network. To fully utilize this potential learning ability and improve learning efficiency, this study proposes a multiple-stage KD (MSKD) method that allows students to learn the knowledge delivered by the teacher network in multiple stages. The student network in this method consists of a multi-exit architecture, and the students imitate the output of the teacher network at each exit. The final classification by the student network is achieved through ensemble learning. However, because this results in an unreasonable gap between the number of parameters in the student branch network and those in the teacher branch network, as well as a mismatch in learning capacity between these two networks, we extend the MSKD method to a one-to-one multiple-stage KD method. The experimental results reveal that the proposed method applied to the CIFAR100 and Tiny ImageNet datasets exhibits good performance gain. The proposed method of enhancing KD by changing the style of student learning provides new insight into KD.

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Wang, Zhaocheng y Jiaxuan Chen. "Networked multiple-input-multiple-output for optical wireless communication systems". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, n.º 2169 (2 de marzo de 2020): 20190189. http://dx.doi.org/10.1098/rsta.2019.0189.

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With the escalation of heterogeneous data traffic, the research on optical wireless communication (OWC) has attracted much attention, owing to its advantages such as wide spectrum, low power consumption and high security. Ubiquitous optical devices, e.g. light-emitting diodes (LEDs) and cameras, are employed to support optical wireless links. Since the distribution of these optical devices is usually dense, multiple-input-multiple-output (MIMO) can be naturally adopted to attain spatial diversity gain or spatial multiplexing gain. As the scale of OWC networks enlarges, optical MIMO can also collaborate with network-level operations, like user/AP grouping, to enhance the network throughput. Since OWC is preferred for short-range communications and is sensitive to the directions/rotations of transceivers, optical MIMO links vary frequently and sharply in outdoor scenarios when considering the mobility of optical devices, raising new challenges to network design. In this work, we present an overview of optical MIMO techniques, as well as the cooperation of MIMO and user/AP grouping in OWC networks. In consideration of the challenges for outdoor OWC, key technologies are then proposed to facilitate the adoption of optical MIMO in outdoor scenarios, especially in vehicular ad hoc networks. Lastly, future applications of MIMO in OWC networks are discussed. This article is part of the theme issue ‘Optical wireless communication’.

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Urbanek, Carsten, Nicholetta Weinges-Evers, Judith Bellmann-Strobl, Markus Bock, Jan Dörr, Eric Hahn, Andres H. Neuhaus et al. "Attention Network Test reveals alerting network dysfunction in multiple sclerosis". Multiple Sclerosis Journal 16, n.º 1 (7 de diciembre de 2009): 93–99. http://dx.doi.org/10.1177/1352458509350308.

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Attention is one of the cognitive domains typically affected in multiple sclerosis. The Attention Network Test was developed to measure the function of the three distinct attentional networks, alerting, orienting, and executive control. The Attention Network Test has been performed in various neuropsychiatric conditions, but not in multiple sclerosis. Our objective was to investigate functions of attentional networks in multiple sclerosis by means of the Attention Network Test. Patients with relapsing—remitting multiple sclerosis (n = 57) and healthy controls (n = 57) matched for age, sex, and education performed the Attention Network Test. Significant differences between patients and controls were detected in the alerting network (p = 0.003), in contrast to the orienting (p = 0.696) and the conflict (p = 0.114) network of visual attention. Mean reaction time in the Attention Network Test was significantly longer in multiple sclerosis patients than in controls (p = 0.032), Multiple sclerosis patients benefited less from alerting cues for conflict resolution compared with healthy controls. The Attention Network Test revealed specific alterations of the attention network in multiple sclerosis patients which were not explained by an overall cognitive slowing.

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Tesis sobre el tema "Multiple network"

Torres, Guardia Luis Ernesto y Nelson N. Lacerda. "Multiple objetive network flow problems". Pontificia Universidad Católica del Perú, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/97276.

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In this work, it is presented the multiple objective networkflow problems. This kind of problem is converted into singleo bjective problem and solved by using the primal dual interior point method. The linear system associated to the interior point method is solved by using the Cholesky decomposition, implemented in MATLAB code. Networks of different dimensions are constructed and the computational results show the efficiency of the mentioned interior point method for solving multiple objective network flow problems.

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Pablo, Rodriguez Juan Manuel. "Multiple Target Detection and Tracking in a Multiple Camera Network". Thesis, KTH, Kommunikationsnät, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175884.

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Given synchronized video sequences from a number of cameras withoverlapping fields of view, the detection and tracking of a prioriunknownnumber of individuals entering a determined area is considered,showingthat a generative model can accurately follow the individuals and handleeffectively such problems as occlusions in each view independently. Theaim of this thesis is to implement the exchange of information betweenthe cameras where the detection and tracking processes take place. Theinputs are obtained from synchronized videos and the frames are takenindividually to treat them as independent images. The proposed algo-rithm was implemented in MATLAB and results obtained on a personalcomputer are presented. The results show that the algorithm achievesgood tracking accuracy, has relatively low computational complexity, andat the same time it allows to observe the communication requirementsbetween the cameras and the processing node.

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Smith, Anna Lantz. "Statistical Methodology for Multiple Networks". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492720126432803.

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Orimolade, Joseph Folorunsho. "Access network selection schemes for multiple calls in next generation wireless networks". Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25380.

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There is an increasing demand for internet services by mobile subscribers over the wireless access networks, with limited radio resources and capacity constraints. A viable solution to this capacity crunch is the deployment of heterogeneous networks. However, in this wireless environment, the choice of the most appropriate Radio Access Technology (RAT) that can Tsustain or meet the quality of service (QoS) requirements of users' applications require careful planning and cost efficient radio resource management methods. Previous research works on access network selection have focused on selecting a suitable RAT for a user's single call request. With the present request for multiple calls over wireless access networks, where each call has different QoS requirements and the available networks exhibit dynamic channel conditions, the choice of a suitable RAT capable of providing the "Always Best Connected" (ABC) experience for the user becomes a challenge. In this thesis, the problem of selecting the suitable RAT that is capable of meeting the QoS requirements for multiple call requests by mobile users in access networks is investigated. In addressing this problem, we proposed the use of Complex PRoprtional ASsesment (COPRAS) and Consensus-based Multi-Attribute Group Decision Making (MAGDM) techniques as novel and viable RAT selection methods for a grouped-multiple call. The performance of the proposed COPRAS multi-attribute decision making approach to RAT selection for a grouped-call has been evaluated through simulations in different network scenarios. The results show that the COPRAS method, which is simple and flexible, is more efficient in the selection of appropriate RAT for group multiple calls. The COPRAS method reduces handoff frequency and is computationally inexpensive when compared with other methods such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW) and Multiplicative Exponent Weighting (MEW). The application of the proposed consensus-based algorithm in the selection of a suitable RAT for group-multiple calls, comprising of voice, video-streaming, and file-downloading has been intensively investigated. This algorithm aggregates the QoS requirement of the individual application into a collective QoS for the group calls. This new and novel approach to RAT selection for a grouped-call measures and compares the consensus degree of the collective solution and individual solution against a predefined threshold value. Using the methods of coincidence among preferences and coincidence among solutions with a predefined consensus threshold of 0.9, we evaluated the performance of the consensus-based RAT selection scheme through simulations under different network scenarios. The obtained results show that both methods of coincidences have the capability to select the most suitable RAT for a group of multiple calls. However, the method of coincidence among solutions achieves better results in terms of accuracy, it is less complex and the number of iteration before achieving the predefined consensus threshold is reduced. A utility-based RAT selection method for parallel traffic-streaming in an overlapped heterogeneous wireless network has also been developed. The RAT selection method was modeled with constraints on terminal battery power, service cost and network congestion to select a specified number of RATs that optimizes the terminal interface utility. The results obtained show an optimum RAT selection strategy that maximizes the terminal utility and selects the best RAT combinations for user's parallel-streaming for voice, video and file-download.

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Forsgren, Gustav. "Multiple Synchronized Video Streams on IP Network". Thesis, Linköpings universitet, Informationskodning, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108491.

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Video surveillance today can look very different depending on the objective and on the location where it is used. Some applications need a high image resolution and frame rate to carefully analyze the vision of a camera, while other applications could use a poorer resolution and a lower frame rate to achieve it's goals. The communication between a camera and an observer depends much on the distance between them and on the contents. If the observer is far away the information will reach the observer with delay, and if the medium carrying the information is unreliable the observer has to have this in mind. Lost information might not be acceptable for some applications, and some applications might not need it's information instantly. In this master thesis, IP network communication for an automatic tolling station has been simulated where several video streams from different sources have to be synchronized. The quality of the images and the frame rate are both very important in these types of surveillance, where simultaneously exposed images are processed together. The report includes short descriptions of some networking protocols, and descriptions of two implementations based on the protocols. The implementations were done in C++ using the basic socket API to evaluate the network communication. Two communication methods were used in the implementations, where the idea was to push or to poll images. To simulate the tolling station and create a network with several nodes a number of Raspberry Pis were used to execute the implementations. The report also includes a discussion about how and which video/image compression algorithms the system might benefit of. The results of the network communication evaluation shows that the communication should be done using a pushing implementation rather than a polling implementation. A polling method is needed when the transportation medium is unreliable, but the network components were able to handle the amount of simultaneous sent information very well without control logic in the application.

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Kondam, Sudhir Chander Reddy. "Deploying multiple sensor applications in a network". Kansas State University, 2010. http://hdl.handle.net/2097/6990.

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Master of Science
Department of Computing and Information Sciences
Gurdip Singh
TinyOS is an open-source component based operating system designed for highly memory constrained wireless embedded sensor network. TinyOS includes interfaces and components for communication management, routing and data acquisition tools to be refined further for custom applications. This project aims at developing a system which detects overlapping paths for data collection in different applications in the network and utilizing that information for efficient data acquisition. This prevents a reconfiguring the entire network of wireless sensor nodes (called motes) for each new application request. The application for initial or first data acquisition request tries to build the tree architecture on motes in the network where each node in the tree knows its immediate parent and children. The application builds the tree routed at the base station for the initial request and each intermediate node sends data to its parent when the data request is made. Each base station can request Light, Temperature and Passive Infrared sensory data from all or a subset of motes present in the system. When a new base station comes and connects to the network through a mote/node in the tree, the system reconfigures only those parts of the tree built in the initial phase which do not overlap with the tree required for the new base station as the root, all the other overlapping parts of the tree are left unchanged. We present experimental result to illustrate the efficiency of the approach.

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McNeil, Patrick. "Integrating Multiple Modalities into Deep Learning Network". NSUWorks, 2017. http://nsuworks.nova.edu/gscis_etd/1004.

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Deep learning networks in the literature traditionally only used a single input modality (or data stream). Integrating multiple modalities into deep learning networks with the goal of correlating extracted features was a major issue. Traditional methods involved treating each modality separately and then writing custom code to combine the extracted features. Current solutions for small numbers of modalities (three or less) showed there are multiple architectures for modality integration. With an increase in the number of modalities, the “curse of dimensionality” affects the performance of the system. The research showed current methods for larger scale integrations required separate, custom created modules with another integration layer outside the deep learning network. These current solutions do not scale well nor provide good generalized performance. This research report studied architectures using multiple modalities and the creation of a scalable and efficient architecture.

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DI, BRISCO AGNESE MARIA. "Statistical Network Analysis: a Multiple Testing Approach". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/96090.

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The problem of identifying connections between nodes in a network model is of fundamental importance in the analysis of brain networks because each node represents a specific brain region that can potentially be connected to other brain regions by means of functional relations; the dynamical behavior of each node can be quantified by adopting a correlation measure among time series. In this contest, the whole set of links between nodes in a network can be represented by means of an adjacency matrix with high dimension, that can be obtained by performing a huge number of simultaneous tests on correlations. In this regard, the Thesis has dealt with the problem of multiple testing in a Bayesian perspective, by examining in depth the “Bayesian False Discovery Rate” (FDR), already defined in Efron, and by introducing the “Bayesian Power” (BP). The behavior of the FDR and BP estimators has been analyzed both with asymptotic theory and with Monte Carlo simulations; furthermore, it has been investigated the robustness of the proposed estimators by simulating specific pattern of dependencies among the p-values associated to the multiple comparisons. Such a multiple testing approach, that allows to control both FDR and BP, has been applyied to a dataset provided by the Milan Center for Neuroscience (NeuroMi). Once selected a sample of 70 participants, classified properly into young subjects and elderly subjects, subject by subject network models have been constructed in order to verify two alternative theories about changes in the pattern of functional connectivity as time goes by, namely the de-differentiation hypothesis versus the localization hypothesis. This objective has been achieved by selecting some proper network measures in order to verify the original hypotheses about the pattern of functional connectivity in the elderly’s group and in the group of young subjects, and by constructing some ad-hoc measures.

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Zhao, Qian Effros Michelle. "Network source coding : theory and code design for broadcast and multiple access networks /". Diss., Pasadena, Calif. : California Institute of Technology, 2003. http://resolver.caltech.edu/CaltechETD:etd-05302003-125004.

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Suryadevara, Usha. "Buffer management in tone allocated multiple access protocol". [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000357.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains vi, 78 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Libros sobre el tema "Multiple network"

Jing, Bo. Quantum Network with Multiple Cold Atomic Ensembles. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0328-1.

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Performance analysis of multiple access protocols. Cambridge, Mass: MIT Press, 1986.

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Ivancic, William D. Satellite-matrix-switched, time-division-multiple-access network simulator. Cleveland, Ohio: Lewis Research Center, 1989.

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D, Ivancic William y United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Satellite-matrix-switched, time-division-multiple-access network simulator. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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NATO Advanced Study Institute on Coding and Analysis of Multiple Access Channels (2006 Budapest, Hungary). Multiple access channels: Theory and practice. Amsterdam, Netherlands: IOS Press, 2007.

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J, Mendez Antonio y United States. National Aeronautics and Space Administration., eds. Optical multiple access network (OMAN) for Advanced Processing Satellite applications. [Washington, DC]: National Aeronautics and Space Administration, 1991.

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CDMA cellular mobile communications & network security. Upper Saddle River, NJ: Prentice Hall PTR, 1998.

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Bozward, David Victor. Capacity improvements for a direct-sequence code division multiple access network. Birmingham: Aston University. Department of Electrical Engineering and Applied Physics, 1995.

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Lim, Chee Peng. On-line pattern classification with multiple neural network systems:an experimental study. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1996.

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Capítulos de libros sobre el tema "Multiple network"

Zhang, Shihua. "Multiple Network Alignment". En Encyclopedia of Systems Biology, 1469. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_484.

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Weik, Martin H. "multiple-domain network". En Computer Science and Communications Dictionary, 1059. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11948.

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Vogt, Gerald. "Multiple Authorization". En Integrated Network Management VIII, 109–12. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35674-7_12.

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Yang, Shuang, Antony Browne y Philip D. Picton. "Multistage Neural Network Ensembles". En Multiple Classifier Systems, 91–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45428-4_9.

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Wang, Qing y Ping Li. "Randomized Bayesian Network Classifiers". En Multiple Classifier Systems, 319–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38067-9_28.

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Schreiber, Falk, Andreas Kerren, Katy Börner, Hans Hagen y Dirk Zeckzer. "Heterogeneous Networks on Multiple Levels". En Multivariate Network Visualization, 175–206. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06793-3_9.

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Shakhov, Vladimir, Olga Sokolova y Anastasia Yurgenson. "A Fast Method for Network Topology Generating". En Multiple Access Communications, 96–101. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10262-7_9.

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Kankare, Miika, Ari Asp, Yaroslav Sydorov, Jarno Niemelä y Mikko Valkama. "Large-Scale Femtocell Network Deployment and Measurements". En Multiple Access Communcations, 100–112. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03871-1_10.

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Fouli, Kerim, Jérôme Casse, Ivan Sergeev, Muriel Médard y Martin Maier. "Broadcasting XORs: On the Application of Network Coding in Access Point-to-Multipoint Networks". En Multiple Access Communications, 25–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34976-8_3.

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Hynek, Tomas y Jan Sykora. "Sequential Incomplete Information Game in Relay Networks Based on Wireless Physical Layer Network Coding". En Multiple Access Communications, 47–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23440-3_4.

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Actas de conferencias sobre el tema "Multiple network"

Kamiyama, Noriaki. "Network Topology Design with Multiple Criteria". En Networks 2006. 12th International Telecommunications Network Strategy and Planning Symposium. IEEE, 2006. http://dx.doi.org/10.1109/netwks.2006.300406.

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Li, Jun, Jinhong Yuan, Robert Malaney y Ming Xiao. "Binary Field Network Coding Design for Multiple-Source Multiple-Relay Networks". En ICC 2011 - 2011 IEEE International Conference on Communications. IEEE, 2011. http://dx.doi.org/10.1109/icc.2011.5963119.

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Xiao, Ming y Mikael Skoglund. "Design of network codes for multiple-user multiple-relay wireless networks". En 2009 IEEE International Symposium on Information Theory - ISIT. IEEE, 2009. http://dx.doi.org/10.1109/isit.2009.5206007.

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Kanzaki, Akimitsu, Takahiro Hara, Yoshimasa Ishi, Tomoki Yoshihisa, Yuuichi Teranishi y Shinji Shimojo. "A Sensor Network Testbed Integrating Multiple Networks". En 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware. IEEE, 2009. http://dx.doi.org/10.1109/mdm.2009.52.

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Chapman, Airlie y Mehran Mesbahi. "Multiple time-scales in network-of-networks". En 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7526542.

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Du, Jinfeng, Naomi Sweeting, David C. Adams y Muriel Medard. "Network reduction for coded multiple-hop networks". En 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7249034.

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Gharan, Shahab Oveis, Alireza Bayesteh y Amir K. Khandani. "Diversity-multiplexing tradeoff in multiple-relay network-part II: Multiple-antenna networks". En 2008 46th Annual Allerton Conference on Communication, Control, and Computing. IEEE, 2008. http://dx.doi.org/10.1109/allerton.2008.4797541.

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Hoebe, Misja N. y Rien Bosma. "Visualizing multiple network perspectives". En the conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1005220.1005223.

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Yao, Yulin, Yu Yang, Linna Zhou, Fang Sun y Gang Wang. "Multiple Contrast Clustering Network". En 2023 8th International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2023. http://dx.doi.org/10.1109/iccia59741.2023.00022.

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Yoon, Bin Yeong, Sae Hyong Park y Youngkil You. "Virtural network services for multiple domain transport networks". En 2017 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2017. http://dx.doi.org/10.1109/ictc.2017.8190881.

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Informes sobre el tema "Multiple network"

Kuperman, Greg, Eytan Modiano y Aradhana Narula-Tam. Network Protection with Multiple Availability Guarantees. Fort Belvoir, VA: Defense Technical Information Center, julio de 2011. http://dx.doi.org/10.21236/ada573569.

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Huang, Haiying. Quantification of Multiple Cracks Using MM-wave Antenna Sensor Network. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2011. http://dx.doi.org/10.21236/ada563782.

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Litman, Neal. Combat Ration Network for Technology Implementation. Multiple-Unit MRE Leak Detector. Fort Belvoir, VA: Defense Technical Information Center, julio de 2000. http://dx.doi.org/10.21236/ada382964.

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Sage, Nicole. Peer Network Emergence and Change in the Classroom: A Multiple Systems Perspective. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.303.

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He, Shenglan, Wanyi Fang, Jiaoyang Wu, Jueyu Zhang, Tunyi Wang, Hang Lv, Yingjie Huang, Guangyao Li y Min Li. Efficacy of multiple non-pharmacological interventions in Parkinson's disease: A Bayesian Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, octubre de 2022. http://dx.doi.org/10.37766/inplasy2022.10.0109.

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Röders, Jonathan y Erin McFee. Research Brief: Disengagement as a Social Network Enterprise. Trust After Betrayal, noviembre de 2022. http://dx.doi.org/10.59498/46887.

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Resumen

This research brief describes the disengagement process of formerly armed actors (FAAs) from a Non-State Armed Group (NSAG) as a social network enterprise. It characterises leaving an NSAG as a relational process shaped by various nodes in a defector's network and actors at multiple societal levels such as family and community members, other FAAs, government officials, and (I)NGO professionals, varying across conflict settings and individual cases. The analysis emphasises the importance of relationships in informing individual disengagement decisions and the logistical support required for successful outcomes. It underscores the need to understand how social networks function and recommends to the institutions involved in Disarmament, Demobilisation and Reintegration (DDR) meaningful engagement with the vast range of actors implicated in this process.

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Mori, Shozo, Bruce D'Ambrosio y Doug Hart. Autonomous Distributed Systems. Multiple-Level Distributed Data Fusion for Future DADS Using Bayesian Network Technology. Fort Belvoir, VA: Defense Technical Information Center, enero de 2002. http://dx.doi.org/10.21236/ada399999.

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Li, Ruo-Yang, Rui-Jue Huang, Ke-Yu Chen y Qian Yu. Comparison of multiple acupoints combination in the treatment of Post-stroke Cognitive Impairment:a network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, marzo de 2021. http://dx.doi.org/10.37766/inplasy2021.3.0054.

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Kazovsky, Leonid G., Ian White, Matt Rogge, Kapil Shrikhande y Erie Hu. Internet Protocol-Hybrid Opto-Electronic Ring Network (IP-HORNET): A Novel Internet Protocol-Over-Wavelength Division Multiplexing (IP-Over-WDM) Multiple-Access Metropolitan Area Network (MAN). Fort Belvoir, VA: Defense Technical Information Center, abril de 2003. http://dx.doi.org/10.21236/ada415560.

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Okamoto, O., M. Maruyama y T. Sajima. Forwarding Media Access Control (MAC) Frames over Multiple Access Protocol over Synchronous Optical Network/Synchronous Digital Hierarchy (MAPOS). RFC Editor, noviembre de 2002. http://dx.doi.org/10.17487/rfc3422.

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