Готові списки джерел за темами / Intelligent networks

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Добірка наукової літератури з теми "Intelligent networks"

Автор: Grafiati
Опубліковано: 28 травня 2022
Оновлено: 31 липня 2025

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Статті в журналах з теми "Intelligent networks"

1

Yang, Helin, Arokiaswami Alphones, Zehui Xiong, Dusit Niyato, Jun Zhao, and Kaishun Wu. "Artificial-Intelligence-Enabled Intelligent 6G Networks." IEEE Network 34, no. 6 (2020): 272–80. http://dx.doi.org/10.1109/mnet.011.2000195.

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2

VASYLKIVSKYI, Mikola, Andrii PRYKMETA, Andrii OLIYNYK, and Diana NIKITOVYCH. "OPTIMIZATION OF INTELLIGENT TELECOMMUNICATION NETWORKS." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 33–41. http://dx.doi.org/10.31891/2307-5732-2023-317-1-33-41.

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Анотація:
The paper presents the results of research on the use of machine learning in telecommunication networks and describes the basics of the theory of artificial intelligence. The impact of dynamic Bayesian network (DBN) and DNN on the development of many technologies, including user activity detection, channel estimation, and mobility tracking, is determined. The indicators of the effectiveness of communications based on the theory of information bottlenecks, which is at the junction of machine learning and forecasting, statistics and information theory, are considered. A neural network model that
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3

Laylock, W. J. "Intelligent networks [power distribution networks]." Power Engineering Journal 16, no. 1 (2002): 25–29. http://dx.doi.org/10.1049/pe:20020104.

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4

Schoo, Peter. "Beyond intelligent networks." Computer Communications 18, no. 11 (1995): 791–92. http://dx.doi.org/10.1016/0140-3664(96)83797-2.

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5

Jain, Anant Kumar. "Intelligent multiservice networks." Bell Labs Technical Journal 7, no. 1 (2002): 81–97. http://dx.doi.org/10.1002/bltj.28.

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6

Zou, Guobin, Junwu Zhou, Tao Song, Jiawei Yang, and Kang Li. "Hierarchical Intelligent Control Method for Mineral Particle Size Based on Machine Learning." Minerals 13, no. 9 (2023): 1143. http://dx.doi.org/10.3390/min13091143.

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Mineral particle size is an important parameter in the mineral beneficiation process. In industrial processes, the grinding process produces pulp with qualified particle size for subsequent flotation processes. In this paper, a hierarchical intelligent control method for mineral particle size based on machine learning is proposed. In the machine learning layer, artificial intelligence technologies such as long and short memory neural networks (LSTM) and convolution neural networks (CNN) are used to solve the multi-source ore blending prediction and intelligent classification of dry and rainy s
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7

Li, Rongpeng, Zhifeng Zhao, Xuan Zhou, et al. "Intelligent 5G: When Cellular Networks Meet Artificial Intelligence." IEEE Wireless Communications 24, no. 5 (2017): 175–83. http://dx.doi.org/10.1109/mwc.2017.1600304wc.

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8

Kolková, Zuzana, Peter Hrabovský, Jozef Matušov, Martina Antošová, and Michal Holubčík. "Control and regulation systems of energy networks in buildings." MATEC Web of Conferences 168 (2018): 06005. http://dx.doi.org/10.1051/matecconf/201816806005.

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Анотація:
Measurement, regulation and control systems offer direct savings and reduce energy consumption, regulating heating, cooling, ventilation or lighting in the intelligent buildings. They provide quick and accurate information on the status of regulated systems or possible malfunction. Systems can use the special meteorological stations to get information about wind velocity and direction, outdoor temperature, intensity and direction of sunlight. They respond flexibly to changes in external parameters. Intelligent buildings combine architecture and aesthetics of the construction, safety, comfort a
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VASYLKIVSKYI, Mykola, Ganna VARGATYUK, and Olha BOLDYREVA. "INTELLIGENT OPTIMIZATION OF MULTIPLE ACCESS INFOCOMMUNICATION NETWORKS." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6 (2022): 32–39. http://dx.doi.org/10.31891/2307-5732-2022-315-6(2)-32-39.

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The methods of multiple access with multiplexing of resources are studied and the advantages and disadvantages of orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) are considered. A comparative analysis of data transmission schemes in the radio network was also performed, taking into account resource planning, in particular: transmission with service information and transmission without service information. The structure of the NOMA uplink receiver based on OFDM signals is proposed. The peculiarities of providing supermassive connection within limited radio resources o
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Bhardwaj, Ritu, and Ashwani Kush. "Intelligent Failure Detection in Underwater Sensor Networks." International Journal of Science and Research (IJSR) 14, no. 2 (2025): 556–60. https://doi.org/10.21275/sr25206120928.

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Дисертації з теми "Intelligent networks"

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Abouzakhar, Nasser Salem. "Intelligent agents-based networks security." Thesis, University of Sheffield, 2005. http://etheses.whiterose.ac.uk/3575/.

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The growing dependence of modem society on telecommunication and information networks has become inevitable. The increase in the number of networks interconnected over the Internet has led to an increase in security threats. The existing mobile and fixed network systems and telecommunication protocols are not appropriately designed to deal with current developed distributed attacks. I started my research work by exploring the deployment of intelligent Agents that could detect network anomalies and issue automated response actions. An Intelligent Agent (IA) [Knapik et at, 1998] is an entity tha
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Yordanova, Veronika. "Intelligent adaptive underwater sensor networks." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10042482/.

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Autonomous Underwater Vehicle (AUV) technology has reached a sufficient maturity level to be considered a suitable alternative to conventional Mine Countermeasures (MCM). Advantages of using a network of AUVs include time and cost efficiency, no personnel in the minefield, and better data collection. A major limitation for underwater robotic networks is the poor communication channel. Currently, acoustics provides the only means to send messages beyond a few metres in shallow water, however the bandwidth and data rate are low, and there are disturbances, such as multipath and variable channel
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3

Coles, Matthew David. "Bayesian network based intelligent mobility strategies for wireless sensor networks." Thesis, University of Portsmouth, 2009. https://researchportal.port.ac.uk/portal/en/theses/bayesian-network-based-intelligent-mobility-strategies-for-wireless-sensor-networks(23e8243c-d165-40c5-8838-7e8feaa8d965).html.

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This thesis is concerned with the design and analysis of new Bayesian network based mobility algorithms for mobile Wireless Sensor Networks (WSNs). The hypothesis for the work presented herein is that incorporating Artificial Intelligence (Al) at the level of the sensor nodes will improve their performance (coverage, connectivity and lifetime) and result in fault tolerance capabilities, in the face of uncertainty associated with incomplete information regarding the network. Two types of mobility strategy are presented and investigated. Firstly, a new gazing mobility strategy is presented which
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4

Kanj, Matthieu. "Intelligent supervision of flexible optical networks." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S138/document.

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Анотація:
Les réseaux optiques dynamiques et flexibles font partie des scénarios d'évolution des réseaux de transport optique. Ceux-ci formeront la base de la nouvelle génération des réseaux optiques de demain et permettront le déploiement efficace des services tel que le Cloud Computing. Cette évolution est destinée à apporter flexibilité et automatisation à la couche optique, mais s'accompagne d'une complexité supplémentaire, notamment au niveau de la gestion et de la commande de cette toute nouvelle génération de réseau. Jusqu'à récemment, les protocoles de routage et de signalisation normalisés ont
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5

Sefidcon, Azimeh. "Feature interactions detection in intelligent networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/MQ47832.pdf.

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Zhuang, Yongzhen. "Intelligent sampling over wireless sensor networks /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20ZHUANG.

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Parlikad, Ajith Kumar Parlikad Narayanan. "Performance Analysis of Intelligent Supply Chain Networks." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-05162002-151641/.

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Анотація:
Supply Chain Management has become the primary competitive weapon in many industries. This thesis describes a model of intelligent supply chain networks that will improve information visibility and flow within the supply chain. In the proposed model, products will have the intelligence to direct themselves throughout the distribution network and will have the capability to be purchased and sold while in transit. The report gives an overview of the supporting technologies that make such a supply chain a reality. It is intended to provide a preliminary outlook at the various issues related to im
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Osunmakinde, Isaac Olusegun. "Computational intelligent systems : evolving dynamic Bayesian networks." Doctoral thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/6429.

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Includes abstract.<br>Includes bibliographical references (p. 163-172).<br>In this thesis, a new class of temporal probabilistic modelling, called evolving dynamic Bayesian networks (EDBN), is proposed and demonstrated to make technology easier so as to accommodate both experts and non-experts, such as industrial practitioners, decision-makers, researchers, etc. Dynamic Bayesian Networks (DBNs) are ideally suited to achieve situation awareness, in which elements in the environment must be perceived within a volume of time and space, their meaning understood, and their status predicted in the n
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Subramanian, Shivaram. "Routing Algorithms for Dynamic, Intelligent Transportation Networks." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/37056.

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Traffic congestion has been cited as the most conspicuous problem in traffic management. It has far-reaching economic,social and political effects. Intelligent Transportation Systems (ITS) research and development programs have been assigned the task of developing sophisticated techniques and counter-measures to reduce traffic congestion to manageable levels, and also achieve these objectives using area-wide traffic management methods. During times of traffic congestion, the traffic network in a transient, time-dynamic state, and resembles a dynamic network. In addition, in the context of ITS,
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Capela, Nelson Filipe. "Intelligent and transparent resource management." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22720.

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Doutoramento em Engenharia Eletrotécnica<br>Wireless access networks have become available almost everywhere. In the same area we can have access to several networks of the same or di erent technologies that can present di erent characteristics. Alongside the evolution of access networks, we have the evolution of terminals. These are currently equipped with a multitude of wireless interfaces, easier to carry and more accessible to users. In uenced by these features, users began to change the way they use their devices to obtain information. The introduction of these new terminals in env
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Книги з теми "Intelligent networks"

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Gaïti, Dominique, ed. Intelligent Networks and Intelligence in Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35066-0.

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Gaïti, Dominique, ed. Intelligent Networks and Intelligence in Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35323-4.

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Thörner, Jan. Intelligent networks. Artech House, 1994.

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4

Harju, Jarmo, Tapani Karttunen, and Olli Martikainen, eds. Intelligent Networks. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34894-0.

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Jarmo, Harju, Karttunen Tapani, Martikainen Olli, and International Federation for Information Processing., eds. Intelligent networks. Chapman & Hall, 1995.

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6

Singh, Vivek Kumar, Anil Kumar Sagar, Parma Nand, Rani Astya, and Omprakash Kaiwartya. Intelligent Networks. CRC Press, 2024. http://dx.doi.org/10.1201/9781003541363.

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7

Venieris, Iakovos, and Heinrich Hussmann, eds. Intelligent Broadband Networks. John Wiley & Sons, Ltd, 1998. http://dx.doi.org/10.1002/047084194x.

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Hills, Tim. Advanced intelligent networks. Analysis Publications, 1993.

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9

Iakovos, Venieris, and Hussmann Heinrich 1959-, eds. Intelligent broadband networks. Wiley, 1998.

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10

Mahapatra, Rajarshi, Siddhartha Bhattacharyya, and Avishek Nag. Intelligent Communication Networks. CRC Press, 2024. http://dx.doi.org/10.1201/9781003303114.

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Частини книг з теми "Intelligent networks"

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Yao, Haipeng, Chunxiao Jiang, and Yi Qian. "Intelligent Network Awareness." In Wireless Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15028-0_3.

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Yao, Haipeng, Chunxiao Jiang, and Yi Qian. "Intelligent Network Control." In Wireless Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15028-0_4.

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Yao, Haipeng, and Mohsen Guizani. "Intelligent Traffic Control." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26987-5_4.

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Yao, Haipeng, and Mohsen Guizani. "Intelligent Resource Scheduling." In Wireless Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26987-5_5.

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Harju, J., T. Karttunen, and O. Martikainen. "Introduction to intelligent networks." In Intelligent Networks. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34894-0_1.

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Martikainen, Olli, and Kim Molin. "Broadband intelligent network project." In Intelligent Networks. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34894-0_20.

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Jensen, T. "Performance issues in Intelligent Networks." In Intelligent Networks and Intelligence in Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35323-4_26.

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Ahamed, Syed V., and Victor B. Lawrence. "Global Intelligent Networks." In Intelligent Broadband Multimedia Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6341-9_12.

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Guan, Zhi-Hong, Bin Hu, and Xuemin Shen. "Hybrid Intelligent Networks." In Introduction to Hybrid Intelligent Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02161-0_1.

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Shamim, M. Z., M. Parayangat, V. P. Thafasal Ijyas, and S. J. Ali. "Distributed Intelligent Networks." In Enabling Technologies for Next Generation Wireless Communications. CRC Press, 2020. http://dx.doi.org/10.1201/9781003003472-9.

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Тези доповідей конференцій з теми "Intelligent networks"

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Wang, Han, Alfonso Iacovazzi, Seonghyun Kim, and Shahid Raza. "CLEVER: Crafting Intelligent MISP for Cyber Threat Intelligence." In 2024 IEEE 49th Conference on Local Computer Networks (LCN). IEEE, 2024. http://dx.doi.org/10.1109/lcn60385.2024.10639749.

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2

Smith, Michael, Konstantinos Pesinis, Lewis Barton, and Ian Laing. "Intelligent Corrosion Prediction Using Bayesian Networks." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13372.

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Abstract Accurate knowledge of corrosion location, severity, cause and growth rate is critical to pipeline integrity, and in line inspection (ILI) is widely regarded as the most reliable and convenient method of obtaining such knowledge. Much industry effort has therefore centered on improving the metal loss detection and sizing capabilities of ILI tools. However, when ILI data are lacking or unattainable, operators must seek alternative ways to monitor the integrity of an asset. For managing internal pipeline corrosion, Internal Corrosion Direct Assessment (ICDA) is perhaps the best known alt
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Ayello, Francois, Davion Hill, Stefan Marion, and Narasi Sridhar. "Integrated Sensor Networks for Corrosion under Insulation: Monitoring, Cost Reduction, and Life Extension Strategies." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11281.

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Abstract System health assessment using sensor networks has been used in the past to detect the presence of corrosion under insulation (CUI) and coatings. Corrosion sensors placed under insulation offer a replacement or alternative to inspections, especially if implemented at a cost savings. If installed during the early project design stage, sensor networks can greatly reduce the need for inspection and unexpected replacement costs. This paper shows three different techniques to detect the presence of moisture and its corrosiveness. The techniques are: direct impedance measurement, the combin
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Harsha, P., Saif Obaid, Debarshi Mazumder, Y. Nagendar, and Zainab Abed Almoussawi. "Multi Resolution based Graph Convolutional Networks for Detecting Communities in Social Networks." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721782.

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Jaganathan, Humashankar Vellathur, Prakash Murugesan, Sairam Madasu, and Imran Ur Rehman. "Transudative Long Short Term Memory based Network Traffic Prediction in Wireless Mesh Networks." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721666.

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Li, Teng. "Optimization of Algorithm for Network Traffic Anomaly Detection Using Convolutional Neural Networks (CNN)." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721912.

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Rohilla, Shivani, Ashutosh Deshwal, and Lavanya Balasubramanian. "Intelligent Vehicular Networks." In 2019 International Conference on Advances in Computing and Communication Engineering (ICACCE). IEEE, 2019. http://dx.doi.org/10.1109/icacce46606.2019.9079957.

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Doctor, Miguel, Ángel Moreno, Pablo Muñoz, Daniel Díaz, and María Dolores R-Moreno. "Intelligent social networks." In the International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/1988688.1988768.

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Lopez, Juan Carlos Garcia. "Towards more intelligent and efficient networks." In 2008 13th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2008. http://dx.doi.org/10.1109/netwks.2008.6231378.

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Hatonen, Seppo, Ibbad Hafeez, Julien Mineraud, Ashwin Rao, and Sasu Tarkoma. "Orchestrating Intelligent Network Operations in Programmable Networks." In 2021 IEEE Conference on Standards for Communications and Networking (CSCN). IEEE, 2021. http://dx.doi.org/10.1109/cscn53733.2021.9686172.

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Звіти організацій з теми "Intelligent networks"

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Narayanan, Ram M., Wiriyanto Darsono, Kyoung-Deuk Kim, Wei-Jen Chen, Qihe Pan, and Shrawan C. Surender. Covert, Intelligent, and Spectrally-Efficient MIMO-Based Noise Radar Networks. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada496263.

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Aman Behal, Sunil Kumar, and Goodarz Ahmadi. Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/934579.

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Willson. L51756 State of the Art Intelligent Control for Large Engines. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010423.

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Анотація:
Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other task
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Lin, Youzuo. Intelligent Quantum Sensing with Quantum Neural Networks: an Application to Earthquake Detection. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1890966.

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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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Анотація:
The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo
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Murray, William R. Control for Intelligent Tutoring Systems: A Comparison of Blackboard Architectures and Discourse Management Networks. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201534.

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7

Lyman, John, and Carla J. Conaway. Distributed Problem Solving: Adaptive Networks with a Computer Intermediary Resource. Intelligent Executive Computer Communication. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada242797.

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8

Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45680.

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Анотація:
With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor
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9

Kumar, Sunil. Design of Intelligent Cross-Layer Routing Protocols for Airborne Wireless Networks Under Dynamic Spectrum Access Paradigm. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada543607.

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10

Dafflon, Baptiste, S. Wielandt, S. Uhlemann, et al. Revolutionizing observations and predictability of Arctic system dynamics through next-generation dense, heterogeneous and intelligent wireless sensor networks with embedded AI. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769774.

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