Relevant bibliographies by topics / Network applications

Contents

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

Academic literature on the topic 'Network applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Network applications"

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Mheich, Ahmad, Fabrice Wendling, and Mahmoud Hassan. "Brain network similarity: methods and applications." Network Neuroscience 4, no. 3 (2020): 507–27. http://dx.doi.org/10.1162/netn_a_00133.

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Graph theoretical approach has proved an effective tool to understand, characterize, and quantify the complex brain network. However, much less attention has been paid to methods that quantitatively compare two graphs, a crucial issue in the context of brain networks. Comparing brain networks is indeed mandatory in several network neuroscience applications. Here, we discuss the current state of the art, challenges, and a collection of analysis tools that have been developed in recent years to compare brain networks. We first introduce the graph similarity problem in brain network application.
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Lang, Gai Ping, Yu Bin Xu, and Lin Ma. "Dynamic Network Selection in Vehicular Heterogeneous Wireless Networks." Advanced Engineering Forum 5 (July 2012): 128–32. http://dx.doi.org/10.4028/www.scientific.net/aef.5.128.

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Three general types of applications, safety applications, traffic applications and non-safety applications, are developed over vehicular networks. Different usage frequency may occur for different applications in vehicular networks. Most of current researches only focus on the safety applications, traffic applications or non-safety applications. Actually, these applications are used by one vehicular according to his dynamic requirements. So, this paper takes these applications together into account, and corresponding access policy is proposed.
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Fragouli, Christina, and Emina Soljanin. "Network Coding Applications." Foundations and Trends® in Networking 2, no. 2 (2007): 135–269. http://dx.doi.org/10.1561/1300000013.

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Siegel, Steven A. "Network-supported applications." Bell Labs Technical Journal 6, no. 2 (2002): 30–46. http://dx.doi.org/10.1002/bltj.3.

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M., Logambal* Dr. V. Thiagarasu. "APPLICATIONS OF WIRELESS SENSOR NETWORKS: AN OVERVIEW." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 3 (2017): 35–41. https://doi.org/10.5281/zenodo.345688.

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A wireless sensor network is a type of wireless network consist a collection of tiny device called sensor node. Sensor node has a resource constraint means battery power, storage and communication capability. These sensor nodes are set with radio interface with which they communicated with one another to form a network. Wireless sensor network has very necessary application like remote has remote environmental monitoring and target tracking. The goal of our survey is to present a comprehensive review of the recent literature on various aspects of WSN and also discuss how wireless sensor networ
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Chen, Shin-Guang. "Modeling and Applications on Timed Stochastic-Flow Networks." International Journal of Reliability, Quality and Safety Engineering 22, no. 05 (2015): 1550023. http://dx.doi.org/10.1142/s0218539315500230.

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A stochastic-flow network (SFN) is a network whose flow has stochastic behavior or probabilistic multi-states. A timed stochastic-flow network (TSFN) is a SFN whose flow spends time to go through the network. Traditionally, the evaluation of network reliability does not consider time consumption for the flow to get through the network. However, there are lots of daily-life networks which can be regarded as TSFNs, such as the transportation network, the production network, etc. Their flow spends time to get through the network, and they are not yet explored in the literature. This paper propose
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Tzes, A., Seongho Kim, and W. R. McShane. "Applications of Petri networks to transportation network modeling." IEEE Transactions on Vehicular Technology 45, no. 2 (1996): 391–400. http://dx.doi.org/10.1109/25.492914.

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Koam, Ali N. A., Ali Ahmad, and Yasir Ahmad. "Computation of reverse degree-based topological indices of hex-derived networks." AIMS Mathematics 6, no. 10 (2021): 11330–45. http://dx.doi.org/10.3934/math.2021658.

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<abstract><p>Network theory gives an approach to show huge and complex frameworks through a complete arrangement of logical devices. A network is made is made of vertices and edges, where the degree of a vertex refers to the number of joined edges. The degree appropriation of a network represents the likelihood of every vertex having a particular degree and shows significant worldwide network properties. Network theory has applications in many disciplines like basic sciences, computer science, engineering, medical, business, public health and sociology. There are some important net
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Trigoni, Niki, and Bhaskar Krishnamachari. "Sensor network algorithms and applications." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1958 (2012): 5–10. http://dx.doi.org/10.1098/rsta.2011.0382.

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A sensor network is a collection of nodes with processing, communication and sensing capabilities deployed in an area of interest to perform a monitoring task. There has now been about a decade of very active research in the area of sensor networks, with significant accomplishments made in terms of both designing novel algorithms and building exciting new sensing applications. This Theme Issue provides a broad sampling of the central challenges and the contributions that have been made towards addressing these challenges in the field, and illustrates the pervasive and central role of sensor ne
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Al-Hamid, Duaa Zuhair, Pejman A. Karegar, and Peter Han Joo Chong. "A Novel SDWSN-Based Testbed for IoT Smart Applications." Future Internet 15, no. 9 (2023): 291. http://dx.doi.org/10.3390/fi15090291.

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Wireless sensor network (WSN) environment monitoring and smart city applications present challenges for maintaining network connectivity when, for example, dynamic events occur. Such applications can benefit from recent technologies such as software-defined networks (SDNs) and network virtualization to support network flexibility and offer validation for a physical network. This paper aims to present a testbed-based, software-defined wireless sensor network (SDWSN) for IoT applications with a focus on promoting the approach of virtual network testing and analysis prior to physical network impl
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Dissertations / Theses on the topic "Network applications"

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Khorramzadeh, Yasamin. "Network Reliability: Theory, Estimation, and Applications." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/64383.

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Network reliability is the probabilistic measure that determines whether a network remains functional when its elements fail at random. Definition of functionality varies depending on the problem of interest, thus network reliability has much potential as a unifying framework to study a broad range of problems arising in complex network contexts. However, since its introduction in the 1950's, network reliability has remained more of an interesting theoretical construct than a practical tool. In large part, this is due to well-established complexity costs for both its evaluation and approximati
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Snyder, Michael A. "Network Applications and the Utah Homeless Network." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/3877.

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Graph theory is the foundation on which social network analysis (SNA) is built. With the flood of "big data," graph theoretical concepts and their linear algebraic counterparts are essential tools for analysis in the burgeoning field of network data analysis, in which SNA is a subset. Here we begin with an overview of SNA. We then discuss the common descriptive measures taken on network data as well as proposing new measures specific to homeless networks. We also define a new data structure which we call the location sequence matrix. This data structure makes certain computational network ana
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Tuduce, Cristian. "Network abstractions for wireless network applications /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17148.

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Paisley, Jonathan. "Application and network traffic correlation of grid applications." Thesis, Connect to e-thesis, 2006. http://theses.gla.ac.uk/535/.

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Thesis (Ph.D.) - University of Glasgow, 2006.<br>Ph.D. thesis submitted to the Department of Computing Science, University of Glasgow, 2006. Includes bibliographical references. Print version also available.
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Leung, Ian Xiao Yin. "Fast network analysis and applications in real-world networks." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609931.

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Ly, Tung T. "Shipboard wireless network applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA392074.

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Kulathumani, Vinodkrishnan. "Network Abstractions for Designing Reliable Applications Using Wireless Sensor Networks." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211560039.

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Xu, Shuxiang, University of Western Sydney, and of Informatics Science and Technology Faculty. "Neuron-adaptive neural network models and applications." THESIS_FIST_XXX_Xu_S.xml, 1999. http://handle.uws.edu.au:8081/1959.7/275.

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Artificial Neural Networks have been widely probed by worldwide researchers to cope with the problems such as function approximation and data simulation. This thesis deals with Feed-forward Neural Networks (FNN's) with a new neuron activation function called Neuron-adaptive Activation Function (NAF), and Feed-forward Higher Order Neural Networks (HONN's) with this new neuron activation function. We have designed a new neural network model, the Neuron-Adaptive Neural Network (NANN), and mathematically proved that one NANN can approximate any piecewise continuous function to any desired accuracy
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Lanni, M. J. "Graphical user interface network applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA295638.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, March 1995.<br>Thesis advisor(s): Norman F. Schneidewind, W.B. Short. "March 1995." Bibliography: p. 61-62. Also available online.
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Zheng, Huanyang. "SOCIAL NETWORK ARCHITECTURES AND APPLICATIONS." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/470889.

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Computer and Information Science<br>Ph.D.<br>Rather than being randomly wired together, the components of complex network systems are recently reported to represent a scale-free architecture, in which the node degree distribution follows power-law. While social networks are scale-free, it is natural to utilize their structural properties in some social network applications. As a result, this dissertation explores social network architectures, and in turn, leverages these architectures to facilitate some influence and information propagation applications. Social network architectures are analyz
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Books on the topic "Network applications"

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Taylor, J. G., ed. Neural Network Applications. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2003-2.

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Fragouli, Christina. Network coding applications. Now, 2007.

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Toshio, Fukuda, ed. Neural network applications. IEEE, 1992.

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I'Anson, Colin. Understanding OSI applications. PTR Prentice Hall, 1993.

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Stanley, William D. Network analysis with applications. 3rd ed. Prentice Hall, 2000.

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Stanley, William D. Network analysis with applications. 2nd ed. Prentice Hall, 1997.

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Kramarz-Bein, Susanne, and Birge Hilsmann. Applications of network theories. Lit Verlag, 2014.

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Yue, Wuyi, Quan-Lin Li, Shunfu Jin, and Zhanyou Ma, eds. Queueing Theory and Network Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68520-5.

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Clemm, Alexander, and Ralf Wolter, eds. Network-Embedded Management and Applications. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-6769-5.

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Phung-Duc, Tuan, Shoji Kasahara, and Sabine Wittevrongel, eds. Queueing Theory and Network Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27181-7.

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Book chapters on the topic "Network applications"

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Strobel, Stefan, and Volker Elling. "Network applications." In Linux. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1856-2_10.

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Strobel, Stefan, and Thomas Uhl. "Network Applications." In LINUX. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-97572-1_12.

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Strobel, Stefan, and Thomas Ubl. "Network Applications." In Linux Unleashing the Workstation in Your PC. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4684-0247-6_10.

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Sharp, Robin. "Network Applications." In Undergraduate Topics in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41463-3_7.

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Xu, Kuai. "Applications." In Network Behavior Analysis. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8325-1_7.

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Chang, Gerard J., Lirong Cui, and Frank K. Hwang. "Applications." In Network Theory and Applications. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4613-0273-5_10.

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Gertsbakh, Ilya, and Yoseph Shpungin. "Applications." In Network Reliability and Resilience. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7_2.

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Hoffman, Roy. "Communications—Network Applications." In Data Compression in Digital Systems. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6031-9_7.

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Mo, John P. T. "Infrastructure Network Applications." In Engineering and Operations of System of Systems. CRC Press, 2018. http://dx.doi.org/10.1201/9781315206684-5.

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Erciyes, K. "Sensor Network Applications." In Computer Communications and Networks. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5173-9_17.

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Conference papers on the topic "Network applications"

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Levi, Filippo, Simone Donadello, Cecilia Clivati, et al. "Coherent laser interferometry over the deployed optical fiber network for seismic monitoring." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.atu4a.1.

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Integrating sensing capabilities into optical fiber networks offers significant opportunities in geophysical and environmental monitoring. We present an earthquake observatory based on coherent interferometry with ultrastable lasers, known for its sensitivity and long-range operation, reporting the detection of numerous seismic events and affirming its potential for a scalable sensing network.
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Rock, Alan, Xiaoshu Xu, and Jerald E. Jones. "Typical Neural Network Applications in Signal Processing and Process Modelling." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92265.

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Abstract Artificial neural systems (ANS), also known as neural networks, are an attempt to develop computer systems that emulate the neural reasoning behavior of biological neural systems (e.g. the human brain). As such, they are loosely based on biological neural networks. The ANS consists of a series of nodes (neurons) and weighted connections (axons) that, when presented with a specific input pattern, can associate specific output patterns. It is essentially a highly complex, non-linear, mathematical relationship or transform. These constructs have two significant properties that have prove
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Das, Debojeet, Lakshya, and Mythili Vutukuru. "Fastlane: A framework for building fast path network applications." In 2024 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2024. https://doi.org/10.1109/nfv-sdn61811.2024.10807494.

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Ruz, Gonzalo A. "Training threshold Boolean networks: applications to gene regulatory network modeling." In 2025 59th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2025. https://doi.org/10.1109/ciss64860.2025.10944722.

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Venkatesan, Sugumar, Subashini Ponnusamy, Kathirvel Venugopal, and Pandian Chelliah. "Simulation of Overlapped FBG sensors in a sensor network for strain measurement." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/3d.2024.jd6a.5.

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FBGs with overlapped spectra in a series network are interrogated with spectral division multiplexing (SPDM) for strain measurement. SPDM converts the wavelength interrogation into a non-linear regression curve-fitting problem. Neural networks are employed to solve this.
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Gani, Abdullah, and Gordon Manson. "Towards a Self-Healing Network in Controlling Access to Network Applications." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2636.

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A self-healing network is a ‘dream’ for every network designer today. Abstractly it is a network that capable of maintaining the availability of network services. This would not be impossible to be turned into a reality if the networks are embedded with intelligence. By having the intelligent capability the network can be self- managed in response to events that taken place within the network itself through the learning mechanisms. This paper presents the User Manager Agent System (UMAS) learning performance in controlling a request for network application session. ANFIS of Matlab v5.3 has bee
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Saxena, Shruti, and Joydeep Chandra. "A Survey on Network Alignment: Approaches, Applications and Future Directions." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/908.

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Network alignment, the task of mapping corresponding nodes across networks, is attracting more attention for cross-network analysis in diverse domains, including social, biological, and co-authorship networks. Although a variety of methods have been proposed, we lack a holistic understanding of the approaches and applications. Our survey aims to bridge this gap by first proposing a taxonomy of network alignment, characterizing existing approaches, and then systematically summarizing and reviewing their performance and highlighting their scopes for future development. Finally, we discuss some i
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Albayrak, Sahin, Muslim Elkotob, and Ahmet C. Toker. "Smart middleware for mutual service-network awareness in evolving 3GPP networks network aware applications & application aware networks." In Middleware and Workshops (COMSWARE '08). IEEE, 2008. http://dx.doi.org/10.1109/comswa.2008.4554377.

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Joe, Inwhee, and Seokjoon Hong. "An Adaptive Network Scanning Algorithm in Hybrid Wireless Networks." In Applications (ICUT). IEEE, 2009. http://dx.doi.org/10.1109/icut.2009.5405738.

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Utete, Simukai W., and Hugh F. Durrant-Whyte. "Network management in decentralized data fusion networks." In Photonics for Industrial Applications, edited by Paul S. Schenker. SPIE, 1994. http://dx.doi.org/10.1117/12.189071.

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Reports on the topic "Network applications"

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Katipamula, Srinivas, Robert G. Lutes, Hung Ngo, and Ronald M. Underhill. Transactional Network Platform: Applications. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1108153.

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Levi, D., P. Meyer, and B. Stewart. Simple Network Management Protocol (SNMP) Applications. RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3413.

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Wiggins, Vince L., Sheree K. Engquist, and Larry T. Looper. Neural Network Applications: A Literature Review. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada258148.

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Kaiser, Edward. Addressing Automated Adversaries of Network Applications. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.4.

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Todd, Minsa. Continuous Hypergolic Monitor Network for Shipboard Applications. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437028.

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K., V., F. Haerens, and V. Rastogi. Interworking SIP and Intelligent Network (IN) Applications. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc3976.

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Price, Larry. Network Psychometrics: From Theory to Practice. Instats Inc., 2024. http://dx.doi.org/10.61700/z6oca2osqvdkq1597.

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This four-day workshop introduces participants to network psychometrics, a novel approach to understanding psychological constructs through network models. Attendees will learn to construct, analyze, and interpret psychological networks using R, gaining skills in network estimation, centrality measures, community detection, and more, with practical applications in various research fields.
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Belzer, M. R., and Y. M. Cho. Micro-Computer Network Architecture for Range Instrumentation Applications. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada196971.

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DeWitt, Tony, Nancy Miller, Thomas Gross, Peter Steenkiste, and Dean Sutherland. ReMoS: A Resource Monitoring System for Network-Aware Applications. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada352304.

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Reed, Daniel A. A uniform instrumentation, event, and adaptation framework for network-aware middleware and advanced network applications. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/1172389.

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