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Journal articles on the topic 'Perfect Network'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Tong, M. D., and W. K. Chen. "Perfect Multivariable Feedback Theory." Journal of Circuits, Systems and Computers 07, no. 02 (1997): 129–51. http://dx.doi.org/10.1142/s0218126697000103.

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The paper nicely combines the state-space description with the input-output description and elegantly formulates the multivariable feedback theory as well as obtains a number of useful results for modern network and control theory. In particular, it reveals various kinds of duality between a multivariable feedback network and its associated inverse network, such as structure duality, transfer function matrix (determinant) duality and duality on controllability (observability). It also thoroughly studies four pairs of the (null) return difference matrices of a multivariable feedback network and

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Frączek, Wojciech, and Krzysztof Szczypiorski. "Perfect undetectability of network steganography." Security and Communication Networks 9, no. 15 (2016): 2998–3010. http://dx.doi.org/10.1002/sec.1491.

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Do, Dinh-Thuan, and Chi-Bao Le. "UAV-assisted underlay CR-NOMA network: performance analysis." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2079–87. http://dx.doi.org/10.11591/eei.v11i4.3104.

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We highlight the potential of non-orthogonal multiple access (NOMA) integration withunmanned aerial vehicle (UAV) for future communications networks in beyond 5 gen-eration (B5G) networks to enhance cellular communication, support massive connec-tionsandincreasedatarates.Weconsiderascenario,whereaUAVcommunicatesin a downlink underlay cognitive radio based NOMA network (CR-NOMA) with twodestination users, a cellular device, and a primary destination following Nakagami-mfading distribution.We study the impact of perfect and imperfect successive interfer-ence cancellation (SIC) on outage probabil

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Li, Jing, Xiu-Bo Chen, Gang Xu, Yi-Xian Yang, and Zong-Peng Li. "Perfect Quantum Network Coding Independent of Classical Network Solutions." IEEE Communications Letters 19, no. 2 (2015): 115–18. http://dx.doi.org/10.1109/lcomm.2014.2379253.

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Petrosyan, L. A., and A. A. Sedakov. "Multistage network games with perfect information." Automation and Remote Control 75, no. 8 (2014): 1532–40. http://dx.doi.org/10.1134/s0005117914080165.

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WEI, XIAQI, SHURONG ZHANG, and WEIHUA YANG. "Matching Preclusion for Enhanced Pyramid Networks." Journal of Interconnection Networks 19, no. 03 (2019): 1940009. http://dx.doi.org/10.1142/s0219265919400097.

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The matching preclusion number of a graph is the minimum number of edges whose deletion leaves the resulting graph that has neither perfect matchings nor almost perfect matchings. This concept was introduced as a measure of robustness in the event of edge failure in interconnection networks. The pyramid network is one of the important networks applied in parallel and distributed computer systems. Chen et al. in 2004 proposed a new hierarchy structure, called the enhanced pyramid network, by replacing each mesh in a pyramid network with a torus. An enhanced pyramid network of n layers is denote

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M, Duraipandian. "ENHANCED NETWORK SELECTION AND HANDOVER SCHEMA FOR HETEROGENEOUS WIRELESS NETWORKS." Journal of ISMAC 01, no. 03 (2019): 160–71. http://dx.doi.org/10.36548/jismac.2019.3.003.

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The seamless communication between the devices of the heterogeneous wireless networks still remains as a challenge due to the delay incurred, the cost difference and the bandwidth variations.so it becomes necessary for a perfect management of the hand over and the selection of the network to provide a continuous conveyance in the broadcasting or the sharing of the information’s. So the paper initiates an enhanced network selection and a vertical hand over schema that is context aware and based on the user preference utilizing the grey relational analysis integrated with the particle swarm opti

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Murdoch, Duncan J., and Glen Takahara. "Perfect sampling for queues and network models." ACM Transactions on Modeling and Computer Simulation 16, no. 1 (2006): 76–92. http://dx.doi.org/10.1145/1122012.1122016.

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Nishikawa, Takashi, Frank C. Hoppensteadt, and Ying-Cheng Lai. "Oscillatory associative memory network with perfect retrieval." Physica D: Nonlinear Phenomena 197, no. 1-2 (2004): 134–48. http://dx.doi.org/10.1016/j.physd.2004.06.011.

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Stamova, Ivanka, Sotir Sotirov, Evdokia Sotirova, and Gani Stamov. "Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis." Fractal and Fractional 5, no. 3 (2021): 78. http://dx.doi.org/10.3390/fractalfract5030078.

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In this paper, a fractional-order Cohen–Grossberg-type neural network with Caputo fractional derivatives is investigated. The notion of almost periodicity is adapted to the impulsive generalization of the model. General types of impulsive perturbations not necessarily at fixed moments are considered. Criteria for the existence and uniqueness of almost periodic waves are proposed. Furthermore, the global perfect Mittag–Leffler stability notion for the almost periodic solution is defined and studied. In addition, a robust global perfect Mittag–Leffler stability analysis is proposed. Lyapunov-typ

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Shimoji, Hiroyuki, Masato S. Abe, Kazuki Tsuji, and Naoki Masuda. "Global network structure of dominance hierarchy of ant workers." Journal of The Royal Society Interface 11, no. 99 (2014): 20140599. http://dx.doi.org/10.1098/rsif.2014.0599.

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Dominance hierarchy among animals is widespread in various species and believed to serve to regulate resource allocation within an animal group. Unlike small groups, however, detection and quantification of linear hierarchy in large groups of animals are a difficult task. Here, we analyse aggression-based dominance hierarchies formed by worker ants in Diacamma sp. as large directed networks. We show that the observed dominance networks are perfect or approximate directed acyclic graphs, which are consistent with perfect linear hierarchy. The observed networks are also sparse and random but sig

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12

Tiwari, Sunil. "Study of Structural Representation of Perfect Difference Network." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 1312–16. http://dx.doi.org/10.22214/ijraset.2018.3203.

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13

Jing, Yindi, and Hamid Jafarkhani. "Network Beamforming Using Relays With Perfect Channel Information." IEEE Transactions on Information Theory 55, no. 6 (2009): 2499–517. http://dx.doi.org/10.1109/tit.2009.2018175.

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Deroïan, Frédéric. "Formation of a Communication Network Under Perfect Foresight." Theory and Decision 61, no. 3 (2006): 191–204. http://dx.doi.org/10.1007/s11238-006-0004-1.

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15

Haney, Michael W., and James J. Levy. "Optically efficient free-space folded perfect shuffle network." Applied Optics 30, no. 20 (1991): 2833. http://dx.doi.org/10.1364/ao.30.002833.

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Imani, N., H. Sarbazi-Azad, and S. G. Akl. "Perfect load balancing on the star interconnection network." Journal of Supercomputing 41, no. 3 (2007): 269–86. http://dx.doi.org/10.1007/s11227-007-0128-2.

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Kannan V. "Perfect Geodesic Intuitionistic Fuzzy Graphs for Cybersecurity Optimization and Secure Network Communication." Journal of Information Systems Engineering and Management 10, no. 34s (2025): 14–20. https://doi.org/10.52783/jisem.v10i34s.5771.

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This paper introduces Perfect Geodesic Intuitionistic Fuzzy Graphs (PGIFGs) with each node in at least one geodesic basis, so that the pseudo geodesic number is zero. PGIFGs, based on intuitionistic fuzzy set theory, use membership, non-membership, and hesitancy values, making them more applicable in the field of cybersecurity. Complete intuitionistic fuzzy graphs and intuitionistic fuzzy cycles possess perfect geodesic characteristics, which are suitable for fault-tolerant and secure network topologies. This framework maximizes threat detection, identification of key nodes, and secure communi

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Alexan, Alexandru, Anca Alexan, Oniga Ștefan, and Alin Tisan. "SoC as IoT sensor network hub." Carpathian Journal of Electronic and Computer Engineering 12, no. 1 (2019): 42–45. http://dx.doi.org/10.2478/cjece-2019-0008.

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Abstract Nowadays SoC’s miniaturization provide smaller yet more powerful devices that are perfect to be used as local hubs for small to medium sensor networks. Although sensors can now be easily connected directly to the cloud, a hub can simplify the process of bringing sensor to the IoT cloud. One of the most popular SoC board, Raspberry PI, is perfect for the hub role due to its small form factor, price, processing power and connectivity. Our proposed system consists in a SoC based low cost raspberry pi hub that connects two Bluetooth sensortag CC2650 modules to a mongoDB cloud database.

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Xu, Yangzhou, Jia Lou, Tiantian Wang, et al. "Multiple Access for Heterogeneous Wireless Networks with Imperfect Channels Based on Deep Reinforcement Learning." Electronics 12, no. 23 (2023): 4845. http://dx.doi.org/10.3390/electronics12234845.

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In heterogeneous wireless networks, when multiple nodes need to share the same wireless channel, they face the issue of multiple access, which necessitates a Medium Access Control (MAC) protocol to coordinate the data transmission of multiple nodes on the shared communication channel. This paper presents Proximal Policy Optimization-based Multiple Access (PPOMA), a novel multiple access protocol for heterogeneous wireless networks based on the Proximal Policy Optimization (PPO) algorithm from deep reinforcement learning (DRL). Specifically, we explore a network scenario where multiple nodes em

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20

Szymanski, T. H., and D. Gilbert. "Design of an IPTV Multicast System for Internet Backbone Networks." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/169140.

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The design of an IPTV multicast system for the Internet backbone network is presented and explored through extensive simulations. In the proposed system, a resource reservation algorithm such as RSVP, IntServ, or DiffServ is used to reserve resources (i.e., bandwidth and buffer space) in each router in an IP multicast tree. Each router uses an Input-Queued, Output-Queued, or Crosspoint-Queued switch architecture with unity speedup. A recently proposedRecursive Fair Stochastic Matrix Decompositionalgorithm used to compute near-perfect transmission schedules for each IP router. The IPTV traffic

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21

HIJJAWI, R. S., J. H. ASAD, A. J. SAKAJI, and J. M. KHALIFEH. "PERTURBATION OF AN INFINITE NETWORK OF IDENTICAL CAPACITORS." International Journal of Modern Physics B 21, no. 02 (2007): 199–209. http://dx.doi.org/10.1142/s0217979207035972.

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The capacitance between any two arbitrary lattice sites in an infinite square lattice is studied when one bond is removed (i.e. perturbed). A connection is made between the capacitance and the lattice Green's function of the perturbed network, where they are expressed in terms of those of the perfect network. The asymptotic behavior of the perturbed capacitance is investigated as the separation between the two sites goes to infinity. Finally, numerical results are obtained along different directions and a comparison is made with the perfect capacitances.

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Chang, Hao, and Andre Levchenko. "Adaptive molecular networks controlling chemotactic migration: dynamic inputs and selection of the network architecture." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1629 (2013): 20130117. http://dx.doi.org/10.1098/rstb.2013.0117.

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Eukaryotic signalling networks underlying the cell's ability to sense the gradient of chemotactic cues frequently have the dual property of perfect adaptation to spatially homogeneous inputs, and persistent activation by inputs that are spatially graded. This property is also shared by bacterial chemotaxis networks, raising the question of whether these two types of chemotactic processes also have similar organization of the underlying biomolecular processes. Interestingly, perfect adaptation can only be achieved robustly by a handful of mechanisms, and while eukaryotic chemotactic networks ap

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23

Tchernev, Elko B., Rory G. Mulvaney, and Dhananjay S. Phatak. "Perfect Fault Tolerance of the n-k-n Network." Neural Computation 17, no. 9 (2005): 1911–20. http://dx.doi.org/10.1162/0899766054322946.

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It was shown in Phatak, Choi, and Koren (1993) that the neural network implementation of the n-k-n encoder-decoder has a minimal size of k = 2, and it was shown how to construct the network. A proof was given in Phatak and Koren (1995) that in order to achieve perfect fault tolerance by replicating the hidden layer, the required number of replications is at least three. In this note, exact lower bounds are derived for the number of replications as a function of n, for the n-2-n network and for the n-log2n-n network.

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24

Attanasio, Orazio, and Sonya Krutikova. "JEEA-FBBVA LECTURE 2019: Consumption Insurance in Networks with Asymmetric Information: Evidence from Tanzania." Journal of the European Economic Association 18, no. 4 (2020): 1589–618. http://dx.doi.org/10.1093/jeea/jvaa030.

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Abstract This paper uses a dataset from Tanzania with information on consumption, income, and income shocks within and across family networks. Crucially and uniquely, it also contains data on the degree of information existing between each pair of households within family networks. We use these data to construct a novel measure of the quality of information both at the level of household pairs and at the level of the network. We also note that the individual level measures can be interpreted as measures of network centrality. We study risk sharing within these networks and explore whether the

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25

Ni, Xiaotong. "Neural Network Decoders for Large-Distance 2D Toric Codes." Quantum 4 (August 24, 2020): 310. http://dx.doi.org/10.22331/q-2020-08-24-310.

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We still do not have perfect decoders for topological codes that can satisfy all needs of different experimental setups. Recently, a few neural network based decoders have been studied, with the motivation that they can adapt to a wide range of noise models, and can easily run on dedicated chips without a full-fledged computer. The later feature might lead to fast speed and the ability to operate at low temperatures. However, a question which has not been addressed in previous works is whether neural network decoders can handle 2D topological codes with large distances. In this work, we provid

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26

Thodberg, Hans Henrik. "IMPROVING GENERALIZATION OF NEURAL NETWORKS THROUGH PRUNING." International Journal of Neural Systems 01, no. 04 (1991): 317–26. http://dx.doi.org/10.1142/s0129065791000352.

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A technique for constructing neural network architectures with better ability to generalize is presented under the name Ockham's Razor: several networks are trained and then pruned by removing connections one by one and retraining. The networks which achieve fewest connections generalize best. The method is tested on a classification of bit strings (the contiguity problem): the optimal architecture emerges, resulting in perfect generalization. The internal representation of the network changes substantially during the retraining, and this distinguishes the method from previous pruning studies.

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Nandagaoli, Jyotsana, and Jagdish W. "Performance Analysis for Perfect Difference Network and N Complete Network using NS-2." International Journal of Computer Applications 128, no. 15 (2015): 9–12. http://dx.doi.org/10.5120/ijca2015906176.

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28

Sun, Kai, Fei Biao Li, and Ye Qing Sun. "Capacity Analysis for Multiple Antennas Network in Spectrum Sharing System." Applied Mechanics and Materials 543-547 (March 2014): 2575–80. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2575.

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In this paper, we consider a system where a secondary base station (SBS) with K antennas utilizes the licensed spectrum of a single primary user (PU) to send information to N secondary users (SUs). Each SU and PU is equipped with one antenna, respectively. The SBS selects only one antenna out of the K antennas by using maximum signal power to leak interference power ratio strategy (SLIR). Using asymptotic analysis, we first derive the average capacity of the best user scheme, with perfect channel state information from the SBS to the PU (interference CSI) available at the SBS. Due to limited c

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Park, Seong-Ho, Ki-Hong Park, Myeong-Jin Kim, and Young-Chai Ko. "Perfect Interference Alignment for K-user MIMO X Network." Journal of the Korean Institute of Electrical and Electronic Material Engineers 24, no. 2 (2011): 95–101. http://dx.doi.org/10.4313/jkem.2011.24.2.95.

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Cacheffo, A., M. A. de Ponte, M. H. Y. Moussa, and A. S. M. de Castro. "Quasi-perfect state transfer in a bosonic dissipative network." Journal of Physics B: Atomic, Molecular and Optical Physics 43, no. 10 (2010): 105503. http://dx.doi.org/10.1088/0953-4075/43/10/105503.

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Mahdian, M., and R. Bayramzadeh. "Perfect K-Pair Quantum Network Coding Using Superconducting Qubits." Journal of Superconductivity and Novel Magnetism 28, no. 2 (2014): 345–48. http://dx.doi.org/10.1007/s10948-014-2795-6.

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Alam, M. S., and M. A. Karim. "Programmable optical perfect shuffle interconnection network using fredkin gates." Microwave and Optical Technology Letters 5, no. 7 (1992): 330–33. http://dx.doi.org/10.1002/mop.4650050714.

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Zhou, Yi Zhe. "Research on Key Technology of Multi-Channel Transmission about MAC Layer Safety Information in Internet of Vehicles." Applied Mechanics and Materials 556-562 (May 2014): 6320–23. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6320.

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In this paper, we present the multi-channel transmission strategy which has primary user’s protection mechanism to improve the spectrum efficiency and study its performance under perfect and imperfect sensing. This paper also introduce IOV.IOV (Internet of Vehicle) includes the features of WSN (Wireless Sensor Networks) and VANET (Vehicular Ad Hoc Networks), is becoming the tendency in vehicular network.

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Shreedhar, Ganga, Alessandro Tavoni, and Carmen Marchiori. "Monitoring and punishment networks in an experimental common pool resource dilemma." Environment and Development Economics 25, no. 1 (2019): 66–94. http://dx.doi.org/10.1017/s1355770x19000457.

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AbstractWith the aid of a lab experiment, we explored how imperfect monitoring and punishment networks impacted appropriation, punishment and beliefs in a common pool resource appropriation dilemma. We studied the differences between the complete network (with perfect monitoring and punishment, in which everyone can observe and punish everyone else) and two ‘imperfect’ networks (that systematically reduce the number of subjects who could monitor and punish others): the directed and undirected circle networks. We found that free riders were punished in all treatments, but the network topology i

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Dutta, Roy. "A new lumped element bridged-T absorptive band-stop filter." Facta universitatis - series: Electronics and Energetics 30, no. 2 (2017): 179–85. http://dx.doi.org/10.2298/fuee1702179d.

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Following a brief review of previous work on bandstop filters, the inadequacy of a recent work to obtain a perfect notch or perfect absorption at the notch frequency ?0 is demonstrated. A simple and elegant alternative solution, based on purely analytical arguments, is then presented. The resulting network is shown to achieve perfect matching as well as perfect absorption at the notch frequency and has several other advantages. A comparison has also been made with the conventional bridged-T band-stop filter.

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Fang, Du, Zhang Kaiyuan, and Qian Jin. "Research on Information Security of Computer Networks in Universities based on Artificial Intelligence." Journal of Big Data and Computing 2, no. 3 (2024): 189–93. https://doi.org/10.62517/jbdc.202401329.

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Based on artificial intelligence technology, this paper analyzes the problem of computer network information security in colleges and universities. Combined with the characteristics and advantages of artificial intelligence technology, it puts forward measures such as establishing a perfect security awareness education system, strengthening the security protection ability of network equipment and systems, and strengthening the monitoring and early warning of network attacks, in order to improve the level of information security of computer networks in colleges and universities, and it is hoped

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Cleeremans, Axel, David Servan-Schreiber, and James L. McClelland. "Finite State Automata and Simple Recurrent Networks." Neural Computation 1, no. 3 (1989): 372–81. http://dx.doi.org/10.1162/neco.1989.1.3.372.

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We explore a network architecture introduced by Elman (1988) for predicting successive elements of a sequence. The network uses the pattern of activation over a set of hidden units from time-step t−1, together with element t, to predict element t + 1. When the network is trained with strings from a particular finite-state grammar, it can learn to be a perfect finite-state recognizer for the grammar. When the network has a minimal number of hidden units, patterns on the hidden units come to correspond to the nodes of the grammar, although this correspondence is not necessary for the network to

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OWAIDAT, M. Q., R. S. HIJJAWI, J. H. ASAD, and J. M. KHALIFEH. "ELECTRICAL NETWORKS WITH INTERSTITIAL SINGLE CAPACITOR." Modern Physics Letters B 27, no. 16 (2013): 1350123. http://dx.doi.org/10.1142/s0217984913501236.

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We investigate the equivalent capacitance between two arbitrary nodes in a perturbed network (i.e. an interstitial capacitor is introduced between two arbitrary points in the perfect lattice) based on the lattice Green's function approach. An explicit formula for the capacitance of the perturbed lattice is derived in terms of the capacitances of the perfect lattice by solving Dyson's equation exactly. Numerical results are presented for the infinite perturbed square network. Finally, the asymptotic behavior of the effective capacitance has been studied.

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Natarajan, Krishnaraj. "ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS." IRO Journal on Sustainable Wireless Systems 01, no. 03 (2019): 148–60. http://dx.doi.org/10.36548/jsws.2019.3.002.

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The wireless network that are formed on the fly, without relying on the previous infrastructure, including the autonomous devices that lie nearby are called the flying wireless networks. Despite of the networks, self-configuring and self-healing nature, it incurs many challenges due to its mobile nature, limited battery span and the lack of the centralized control, so these wireless network requires a perfect routing protocol addressing the challenges and improving the performance of the network, so the paper presents the survey on the various routing protocols that enhances the performance of

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Meng, Hua Jun, Zhao Cai Wang, and Ying Jie Li. "The Reliability Measure of Disconnected Network Based on Surviving Edges." Advanced Materials Research 756-759 (September 2013): 1669–73. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1669.

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In wireless sensor networks, the disconnected network is an important and special one. Generally, the disconnected network is often characterized as a graph in graph theory. Suppose that edges fail independently of each other with equal probability and nodes are perfect. In this paper, a new reliability measure of disconnected network is proposed and defined as the probability that the edge-induced subgraph induced by surviving edges is connected. Different from traditional all-terminal reliability, this new reliability measure focuses on residual edge connectedness and is able to distinguish

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Singhania, Rajat, and John J. Tyson. "Evolutionary Stability of Small Molecular Regulatory Networks That Exhibit Near-Perfect Adaptation." Biology 12, no. 6 (2023): 841. http://dx.doi.org/10.3390/biology12060841.

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Large-scale protein regulatory networks, such as signal transduction systems, contain small-scale modules (‘motifs’) that carry out specific dynamical functions. Systematic characterization of the properties of small network motifs is therefore of great interest to molecular systems biologists. We simulate a generic model of three-node motifs in search of near-perfect adaptation, the property that a system responds transiently to a change in an environmental signal and then returns near-perfectly to its pre-signal state (even in the continued presence of the signal). Using an evolutionary algo

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Alam, Lamia, and Nasser Kehtarnavaz. "Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation." Sensors 24, no. 3 (2024): 738. http://dx.doi.org/10.3390/s24030738.

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This paper discusses the problem of recognizing defective epoxy drop images for the purpose of performing vision-based die attachment inspection in integrated circuit (IC) manufacturing based on deep neural networks. Two supervised and two unsupervised recognition models are considered. The supervised models examined are an autoencoder (AE) network together with a multi-layer perceptron network (MLP) and a VGG16 network, while the unsupervised models examined are an autoencoder (AE) network together with k-means clustering and a VGG16 network together with k-means clustering. Since in practice

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Idrizi, Florim, Uran Ilazi, and Florin Asani. "Social Networks and WEB ontologys as perfect couple for knowledge management tool/system." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 3 (2015): 5529–34. http://dx.doi.org/10.24297/ijct.v14i3.1995.

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The social networks have become a main tool of the XXI century for personal presentation and promotion, connectivity with others, belonging to same ideology, area of expertise or culture. Beside all the exploitations made to the social networks, lets pose the question: Are social networks and social network medias pushed to their limits, are they manageable and do they give as maximal possibilities in using, managing and having all the knowledge stuffed in there and using it to benefit of our research? Combining the social networks with semantic web can enhance the process of education and res

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Tan, Jian Wen, Si Jian Deng, Fang Wei Ye, and De Ping Zeng. "Variability Analysis of Pi Network Impedance Matching." Applied Mechanics and Materials 291-294 (February 2013): 2527–31. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2527.

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Harmonic rejection ability and reflection coefficient are the most important factors in the design of impedance matching network. However, stability of impedance matching should be taken into account in applications existing load impedance variation and component deviation due to tolerance and process variation. This paper investigates variability of Pi network impedance matching analytically. The relationships between resulting reflection coefficient with component deviation and load impedance variation are theoretically derived on the basis of Q-based design method. The deviation from perfec

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Charles, Adam S., Han Lun Yap, and Christopher J. Rozell. "Short-Term Memory Capacity in Networks via the Restricted Isometry Property." Neural Computation 26, no. 6 (2014): 1198–235. http://dx.doi.org/10.1162/neco_a_00590.

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Cortical networks are hypothesized to rely on transient network activity to support short-term memory (STM). In this letter, we study the capacity of randomly connected recurrent linear networks for performing STM when the input signals are approximately sparse in some basis. We leverage results from compressed sensing to provide rigorous nonasymptotic recovery guarantees, quantifying the impact of the input sparsity level, the input sparsity basis, and the network characteristics on the system capacity. Our analysis demonstrates that network memory capacities can scale superlinearly with the

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Singh, Manisha, and Rekha Tripathi. "Comparison of Topological Property of Perfect Difference Network and Hypercube." International Journal of Computer Applications 53, no. 18 (2012): 34–37. http://dx.doi.org/10.5120/8523-2514.

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Kobolla, H., J. Schmidt, E. Gluch, and J. Schwider. "Holographic perfect shuffle permutation element for a miniaturized switching network." Applied Optics 34, no. 16 (1995): 2844. http://dx.doi.org/10.1364/ao.34.002844.

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Vetlugin, Anton N., Ruixiang Guo, Angelos Xomalis, et al. "Coherent perfect absorption of single photons in a fiber network." Applied Physics Letters 115, no. 19 (2019): 191101. http://dx.doi.org/10.1063/1.5118838.

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Hwang, Il-Pyeong, and Chang-Hee Lee. "A perfect secure optical-network with an anti-correlated noise." Optics Communications 466 (July 2020): 125649. http://dx.doi.org/10.1016/j.optcom.2020.125649.

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Burgos, Juan Manuel. "Factorization of network reliability with perfect nodes II: Connectivity matrix." Discrete Applied Mathematics 198 (January 2016): 91–100. http://dx.doi.org/10.1016/j.dam.2015.06.005.

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