Academic literature on the topic 'Network automation'

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Journal articles on the topic "Network automation"

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Reddy M, Shyam Prasad, and Dr Ambareesh S. "NETWORK AUTOMATION." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (2022): 203–6. http://dx.doi.org/10.26562/ijirae.2022.v0908.10.

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In the traditional ways of networking, we have a lot of manual operations to complete any task in networking. This leads to a heavier cost in network management than the cost of the network. To overcome cost and efficiency in network configuration and management, we are automating the tasks using software, where they can control, configure and manage networks. In this project, we are upgrading the Arista device operating system by taking pre and post conformations using python. Networking programming is based on software networks, where scripting is used for network elements control.
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Mohd Fuzi, Mohd Faris, Khairunnisa Abdullah, Iman Hazwam Abd Halim, and Rafiza Ruslan. "Network Automation using Ansible for EIGRP Network." Journal of Computing Research and Innovation 6, no. 4 (2021): 59–69. http://dx.doi.org/10.24191/jcrinn.v6i4.237.

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Network automation has evolved into a solution that emphasizes efficiency in all areas. Furthermore, communication and computer networks rely on a platform that provides the necessary technological infrastructure for packet transfer through the Internet using routing protocols. The Enhanced Interior Gateway Routing Protocol (EIGRP) is a hybrid routing protocol that combines the properties of both distance-vector and link-state routing methods. The traditional technique to configure EIGRP is inefficient and requires repeated processes compared to the network automation concept. Network automati
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Barbosa, Raul, João Fonseca, Marco Araújo, and Daniel Corujo. "Vinia: Voice-enabled intent-based networking for industrial automation." Computer Science and Information Systems, no. 00 (2024): 2. http://dx.doi.org/10.2298/csis230213002b.

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Intent Based Networking (IBN) is a promising approach for automating and managing large and complex networks. Integrating Voice-enabled Virtual Assistants (VVAs) with IBN and Software Defined Networking (SDN) has improved network management efficiency and flexibility. However, there is still room for optimization improvement in installing intents in industrial scenarios. Network Orchestration Automation plays an important role within the Beyond 5G and 6G Networks, considering existing practices for orchestrating 5G Network Functions. This work presents an extended preliminary architecture for
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Muhammad, Tayyab, and Muhammad Munir. "Network Automation." European Journal of Technology 7, no. 3 (2023): 23–42. http://dx.doi.org/10.47672/ejt.1547.

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Purpose: The article "Network Automation in the Contemporary Economy" explores the concepts and methods of effective network management. The application stack, Jinja template engine, automation architecture, Nornir inventory management, application flow, logging, debugging, and live code testing are just a few of the subjects it covers. Network administrators are more important as digital technologies evolve quickly in order to maintain a safe and dependable network connection. The purpose of this article is to give network administrators the information and abilities they need to successfully
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Hamdan, Mutasem Q., Haeyoung Lee, Dionysia Triantafyllopoulou, et al. "Recent Advances in Machine Learning for Network Automation in the O-RAN." Sensors 23, no. 21 (2023): 8792. http://dx.doi.org/10.3390/s23218792.

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The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces disaggregation and virtualization, enabling network operators to deploy multi-vendor and interoperable solutions. However, managing and automating the complex O-RAN ecosystem presents numerous challenges. To address this, machine learning (ML) techniques have gained considerable attention in recent years, offering promising avenues for network automation in O-RAN. This paper presents
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Ramesh, G., J. Logeshwaran, and Avvaru Praveen Kumar. "The Smart Network Management Automation Algorithm for Administration of Reliable 5G Communication Networks." Wireless Communications and Mobile Computing 2023 (April 28, 2023): 1–13. http://dx.doi.org/10.1155/2023/7626803.

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Smart network management automation (SNMA) is a technology that enables the automation of network management tasks. It provides a platform for automating network management, allowing administrators to manage their networks more reliably and efficiently. It provides the tools to monitor and manage network performance, identify and troubleshoot problems, and automate the deployment of new services and applications. SNMA also allows for scalability to meet the needs of any organization, regardless of size or complexity. With SNMA, network administrators can quickly and accurately identify problem
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Higham, Mark. "AUTOMATION COMMUNICATION NETWORK." Assembly Automation 12, no. 1 (1992): 11–13. http://dx.doi.org/10.1108/eb004353.

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Shahane, Gauri. "Network Security (Automation)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30835.

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The security of an operator’s network is crucial while being increasingly complex to ensure. This is all the more the case with the evolution of the network towards virtualization. In this paper, we will explain how to secure a network and then give some real examples of automation implemented to ensure this security. Finally, we will detail the new risks associated with the implementation of automation tools and share some good security practices around their implementation. Keywords : Network security automation
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Beran, Jan. "Virtual automation network challenge in industrial automation." IFAC Proceedings Volumes 39, no. 21 (2006): 473–78. http://dx.doi.org/10.1016/s1474-6670(17)30234-3.

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Rauchhaupt, Lutz, and Vishwas Lakkundi. "Wireless Network Integration into Virtual Automation Networks." IFAC Proceedings Volumes 41, no. 2 (2008): 13982–87. http://dx.doi.org/10.3182/20080706-5-kr-1001.02367.

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Dissertations / Theses on the topic "Network automation"

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BRINGHENTI, DANIELE. "Network Security Automation." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973798.

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Foroughi, Parisa. "Towards network automation : planning and monitoring." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT038.

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La gestion de réseau subit des changements radicaux en raison des attentes élevées de l’infrastructure pour supporter de nouveaux services. Les diverses exigences de ces services nécessitent l’intégration de nouvelles technologies habilitantes qui compliquent le processus de surveillance et de planification du réseau. Par conséquent, pour alléger la charge et augmenter la précision de la surveillance et de la planification, des solutions plus automatisées au niveau des éléments/dispositifs sont nécessaires. Dans cette thèse, nous proposons un cadre semi-automatique appelé AI-driven telemetry (
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Borgenstrand, Markus. "Network automation – the power of Ansible." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34002.

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This report discusses network automation primarily with Ansible. Ansible is a software from Red Hat that can be used for network automation. The report also goes through YAML which is a standardized way of exchanging data, Jinja2 that is a templating language, Python as well as the security with Ansible. The report also goes through why network automation is needed as well as how much time might be saved with Ansible. Ansible ships with modules for Cisco IOS such as ios_config and ios_command and for Cisco ASA asa_config, asa_command and asa_acl as well as many other modules for Arista, Junipe
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Pham, Van Quan. "Cloud-native optical network automation platforms." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS005.

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La gestion et le contrôle des communications optiques se transforment pour intégrer de nouvelles fonctionnalités telles que la gestion de réseau basée sur l'intention, l'automatisation du contrôle en boucle fermée et l'orchestration multipartite. Ces fonctionnalités sont motivées par les nouvelles exigences de connectivité entre les centres de données (datacenters) pour permettre le déploiement de futures générations de services telles que les applications au-delà de la 5G (Beyond 5G or B5G) et 6G offertes à la périphérie des réseaux optiques. La prochaine génération d'architectures de gestion
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Guo, Hao. "Time synchronization and communication network redundancy for power network automation." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/time-synchronization-and-communication-network-redundancy-for-power-network-automation(4d12b703-b970-4b8e-8335-b1d0b44112b6).html.

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Protection and Control (P&C) devices requiring accurate timing within a power transmission substation are commonly synchronized by distributed Global Positioning System (GPS) receivers. However, utilities now request a timing system that is less dependent on the direct use of distributed GPS receivers, because of the reliability issue of GPS receivers. In addition, to reduce device-to-device cabling and enable interoperability among devices from multiple vendors, utilities are looking to adopt the Ethernet based IEC 61850 protocol suites to complement or replace a conventional hardwired second
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Ofori-Mensah, Enock, and Safaei Sara Khodadad. "The Customer Development Network of ABB Automation." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12494.

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The creation and development ofcustomer relationship has become a strong marketing tool for most suppliers inthe current business world. In addition, the development of relationships hasbecome the main topic for market researchers since they believe that, customersand suppliers are valuable assets of a firm. Most suppliers also face thedilemma of how they should adapt to their customers needs and requirementsbecause adaptations always tighten the bonds of both the supplier and thecustomer and make them more dependent on each other. In order to identify thereasons why firms place much importanc
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Larsson, Jonas. "Network Automation in a Multi-vendor Environment." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80810.

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Automation is something that effects every occupation, and everyone wants more of. Networking is not any different were the systematic tasks that can be prone to human errors and the long time-wasting configuration surely could be automated. But a problem in networking is that when there aren’t any standards to follow vendors do their own solutions that only works on their own devices. This is not a problem if you're only using one vendor in your network, but what if you don't then how do you automate your network? This is the question this report is trying to answer. First by trying to develo
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Zhang, Boyi. "Distribution network automation for multi-objective optimisation." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/distribution-network-automation-for-multiobjective-optimisation(4d04be21-2ac5-4891-8bcf-9b8ed6532043).html.

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Asset management and automation are acknowledged by distribution utilities as a useful strategy to improve service quality and reliability. However, the major challenge faced by decision makers in distribution utilities is how to achieve long-term return on the projects while minimising investment and operation costs. Distribution automation (DA) in terms of transformer economic operation (TEO), distribution network reconfiguration (DNR), and sectionalising switch placement (SSP) is recognised as the most effective way for distribution network operators (DNOs) to increase operation efficiency
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Zhang, Mei. "Cross-docking network design." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/21685.

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Xing, Xiaoyuan. "Virtual Machine in Automation Projects." Thesis, KTH, Industriell produktion, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-50397.

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Virtual machine, as an engineering tool, has recently been introduced into automation projects in Tetra Pak Processing System AB. The goal of this paper is to examine how to better utilize virtual machine for the automation projects. This paper designs different project scenarios using virtual machine. It analyzes installability, performance and stability of virtual machine from the test results. Technical solutions concerning virtual machine are discussed such as the conversion with physical computers, the configuration of virtual network and the use on different software platforms. It also s
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Books on the topic "Network automation"

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Choi, Brendan. Introduction to Python Network Automation. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6806-3.

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Choi, Brendan, and Erwin Medina. Introduction to Ansible Network Automation. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9624-0.

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New Jersey. Library Development Bureau. Automation action plan: Implementing the New Jersey Library automation blueprint. New Jersey State Library, 1989.

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Chen, Xin W. Network Science Models for Data Analytics Automation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96470-2.

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Strauss, Cobus. Practical electrical network automation and communication systems. Newnes, 2003.

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Choi, Brendan. Introduction to Python Network Automation Volume II. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0391-8.

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(Firm), ALSTOM. Network protection & automation guide: Protective relays, measurement & control. Alstom Grid, 2011.

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Wolfgang, Barth. Nagios: System and network monitoring. No Starch Press, 2005.

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Chiu, D. M. Network monitoring explained: Design and application. Ellis Horwood, 1992.

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Chen, Deji. WirelessHART™: Real-Time Mesh Network for Industrial Automation. Springer Science+Business Media, LLC, 2010.

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Book chapters on the topic "Network automation"

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Chowdhury, Dhiman Deb. "Network Automation." In Synthesis Lectures on Communications. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-71440-5_5.

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Johannessen, Jon-Arild, and Helene Sætersdal. "AI network." In Automation, Innovation and Work. Routledge, 2020. http://dx.doi.org/10.4324/9781003032854-5.

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Shetty, Rajaneesh Sudhakar. "Automation in 5G." In 5G Mobile Core Network. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6473-7_6.

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Vikas, B. B. Sagar, and Manisha Manjul. "Anomaly detection in wireless sensor network using Generative Adversarial Network (GAN)." In Automation and Computation. CRC Press, 2023. http://dx.doi.org/10.1201/9781003333500-5.

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Banks, Victoria A., and Neville A. Stanton. "Distributed Cognition in the Road Transportation Network: A Comparison of ‘Current’ and ‘Future’ Networks." In Automobile Automation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315295657-10.

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Zino, Lorenzo, Baruch Barzel, and Alessandro Rizzo. "Network Science and Automation." In Springer Handbook of Automation. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-96729-1_11.

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Vilalta, Ricard, Ramon Casellas, Ricardo Martí­nez, and Raul Muñoz. "Network Programmability and Automation in Optical Networks." In Optical Network Design and Modeling. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38085-4_20.

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Stefanovic, Vladimir, and Milos Katinski. "Network Traffic Management." In Pro Azure Administration and Automation. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7325-8_9.

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Bocewicz, Grzegorz, and Zbigniew Banaszak. "Designing Mass-Customized Network of Passenger Services Subject to Grid Topology Constraints." In Automation 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54042-9_11.

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Kang, Soon Ju, Jun Ho Park, and Sung Ho Park. "Network Architecture for Home Automation." In Fieldbus Technology. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-07219-6_16.

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Conference papers on the topic "Network automation"

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Dsilva, Nikhil, Vignesh Karunakaran, Achim Autenrieth, Jörz-Peter Elbers, and Thomas Bauschert. "Network Automation using NetDevOps in Optical Networks." In 2025 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2025. https://doi.org/10.23919/ondm65745.2025.11029370.

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Natalino, Carlos. "AI-Driven Optical Network Automation: Opportunities and Challenges." In Photonic Networks and Devices. Optica Publishing Group, 2024. https://doi.org/10.1364/networks.2024.new2c.1.

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Willis, Andrew, Wesley Portlock, Suk Jin Lee, and Hsuan-Yun Chang. "Home Automation, Voice, and Entry Network." In 2025 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2025. https://doi.org/10.1109/sieds65500.2025.11021198.

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Dzeparoska, Kristina, and Alberto Leon-Garcia. "Intent-Based Management for Network Automation." In NOMS 2025-2025 IEEE Network Operations and Management Symposium. IEEE, 2025. https://doi.org/10.1109/noms57970.2025.11073734.

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Wang, Danshi, Yao Zhang, Yuchen Song, et al. "Large Language Model for Optical Network Automation: Prospects and Challenges." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th1a.4.

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We reviewed capabilities and limitations of applying large language models (LLMs) to optical network, evaluating their potential contributions towards the advancement of intelligent solutions in optical network automation.
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Singh, Rama, Swati Gupta, and D. T. Arunkumar. "Automation of Network Security in Cloud Based Internet of Things Networks." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724515.

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Guo, Naiwang, Mo Feng, Yan Li, Ji Qiao, Yun Su, and Rui Liu. "State Estimation for Distribution Network Based on Graph Neural Network Method." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865597.

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Khanna, Lalit, Ranganathaswamy M. K, Balamurugan V, Ankita Agarwal Maharishi, Rajat Saini, and Sarmistha Nanda. "Network Coding Techniques for Resource Allocation in Wireless Relay Networks." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957344.

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Guo, Tinghao, Jiarui Xu, Yue Sun, Yilin Dong, Neal E. Davis, and James T. Allison. "Network Analysis of Design Automation Literature." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67361.

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In this paper we present a study of citation and co-authorship networks for articles from the ASME Design Automation Conference (DAC) during the years 2002–2015. We identify key authors, show that the co-authorship network exhibits the small world network property, and reveal other insights from network structure. Results from two topic modeling methods are presented. A frequency-based model was developed to explore DAC topic distribution and evolution. Citation analysis was also conducted for each core topic. A correlation matrix and association rule mining were used to discover topic relatio
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Singh, Chandan Kumar, Anima Majumder, Swagat Kumar, and Laxmidhar Behera. "Deep Network based Automatic Annotation for Warehouse Automation." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489424.

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Reports on the topic "Network automation"

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Earl, Duncan. Final Report - A Scalable Quantum Cryptography Network for Protected Automation Communication. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1863439.

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Beiker, Sven. Unsettled Issues in Remote Operation for On-road Driving Automation. SAE International, 2021. http://dx.doi.org/10.4271/epr2021028.

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On-road vehicles equipped with driving automation features—where a human might not be needed for operation on-board—are entering the mainstream public space. However, questions like “How safe is safe enough?” and “What to do if the system fails?” persist. This is where remote operation comes in, which is an additional layer to the automated driving system where a human remotely assists the so-called “driverless” vehicle in certain situations. Such remote-operation solutions introduce additional challenges and potential risks as the entire vehicle-network-human now needs to work together safely
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Pasupuleti, Murali Krishna. Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks. National Education Services, 2025. https://doi.org/10.62311/nesx/rr925.

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Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum
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Liu, Peng, Kyehwan Lee, Fernando J. Cintrón, et al. Blueprint for deploying 5G O-RAN testbeds :. National Institute of Standards and Technology (U.S.), 2024. https://doi.org/10.6028/nist.ir.2311.

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This documentation serves as a blueprint for new researchers, offering a comprehensive guide on establishing an Open Radio Access Network (O-RAN) testbed from scratch. It details the O-RAN architecture and the supporting software stacks required for each component, and provides both aggregated and disaggregated deployment scenarios tested on our testbeds. The guide provides thorough installation instructions for each software stack we tested. In addition, a testbed example of a disaggregated scenario is used to demonstrate proper configurations and practical operations to test the connection a
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Bennett, Donald A., and Aaron P. Hiltgen. Network Device Checklist Automator. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532885.

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Griffin, Andrew, Sean Griffin, Kristofer Lasko, et al. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting
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McParland, Charles. Home Network Technologies and Automating Demand Response. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/982841.

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Zhang, Fumin. Automation Middleware and Algorithms for Robotic Underwater Sensor Networks. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada542612.

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Zhang, Fumin. Automation Middleware and Algorithms for Robotic Underwater Sensor Networks. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557080.

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Brownell, D. Dynamic RARP Extensions for Automatic Network Address Acquisition. RFC Editor, 1996. http://dx.doi.org/10.17487/rfc1931.

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