Relevant bibliographies by topics / Data Analytics Infrastructure

Contents

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

Academic literature on the topic 'Data Analytics Infrastructure'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Data Analytics Infrastructure"

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Mathias Kalema, Billy, and Motau Mokgadi. "Developing countries organizations’ readiness for Big Data analytics." Problems and Perspectives in Management 15, no. 1 (2017): 260–70. http://dx.doi.org/10.21511/ppm.15(1-1).2017.13.

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Regardless of the nature, size, or business sector, organizations are now collecting burgeoning various volumes of data in different formats. As much as voluminous data are necessary for organizations to draw good insights needed for making informed decisions, traditional architectures and existing infrastructures are limited in delivering fast analytical processing needed for these Big Data. For success organizations need to apply technologies and methods that could empower them to cost effectively analyze these Big Data. However, many organizations in developing countries are constrained wit
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Watson, Hugh J. "All About Analytics." International Journal of Business Intelligence Research 4, no. 1 (2013): 13–28. http://dx.doi.org/10.4018/jbir.2013010102.

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To understand and be successful with analytics, it is important to be precise in understanding what analytics means, the different targets or approaches that companies can take to using analytics, and the drivers that lead to the use of analytics. For companies that use advanced analytics, the keys to success include a clear business need; strong, committed sponsorship; a fact-based decision making culture; a strong data infrastructure; the right analytic tools; and strong analytical personnel in an appropriate organizational structure. These are the same factors for success for business intel
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Bansal, Pratik. "Smart Transportation Infrastructure: Leveraging IoT and Data Analytics for Improved Mobility." International Journal of Science and Research (IJSR) 9, no. 1 (2020): 1937–838. http://dx.doi.org/10.21275/sr24608140619.

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Smilowitz, Daniel, and Ashish Tiwari. "Supporting Grid Infrastructure Through Data‐Driven Analytics." Climate and Energy 39, no. 12 (2023): 1–8. http://dx.doi.org/10.1002/gas.22352.

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Guerrero-Prado, Jenniffer S., Wilfredo Alfonso-Morales, and Eduardo F. Caicedo-Bravo. "A Data Analytics/Big Data Framework for Advanced Metering Infrastructure Data." Sensors 21, no. 16 (2021): 5650. http://dx.doi.org/10.3390/s21165650.

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The Advanced Metering Infrastructure (AMI) data represent a source of information in real time not only about electricity consumption but also as an indicator of other social, demographic, and economic dynamics within a city. This paper presents a Data Analytics/Big Data framework applied to AMI data as a tool to leverage the potential of this data within the applications in a Smart City. The framework includes three fundamental aspects. First, the architectural view places AMI within the Smart Grids Architecture Model-SGAM. Second, the methodological view describes the transformation of raw d
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Ilmudeen, Aboobucker. "Big data analytics capability and organizational performance measures: The mediating role of business intelligence infrastructure." Business Information Review 38, no. 4 (2021): 183–92. http://dx.doi.org/10.1177/02663821211055321.

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The growing importance of big data has headed enterprises to advance their big data analytics capability to strengthen their firm performance. This study tests how big data capability impact on business intelligence infrastructure to achieve firm performance measures such as operational performance and marketing performance. This study is based on the recent literature on the knowledge-based view, big data capability, IT capability, and business intelligence. The primary survey of 272 responses from Chinese firms’ IT managers and big data analysts are used to uncover the relationship in the pr
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Hema Madhavi Kommula. "Optimizing financial services through big data analytics." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 2883–93. https://doi.org/10.30574/wjarr.2025.26.1.1355.

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The financial services industry has undergone a profound transformation through the strategic implementation of big data analytics, creating unprecedented opportunities for innovation and competitive differentiation. This comprehensive article examines the technological infrastructure supporting analytics in financial institutions, including data integration systems, machine learning frameworks, real-time processing platforms, cloud infrastructure, and natural language processing applications. The article explores five critical domains where analytics has demonstrated significant impact: custo
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Ushakov, Denis, Egor Dudukalov, Ekaterina Mironenko, and Khodor Shatila. "Big data analytics in smart cities’ transportation infrastructure modernization." Transportation Research Procedia 63 (2022): 2385–91. http://dx.doi.org/10.1016/j.trpro.2022.06.274.

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Lee, George, Jimmy Lin, Chuang Liu, Andrew Lorek, and Dmitriy Ryaboy. "The unified logging infrastructure for data analytics at Twitter." Proceedings of the VLDB Endowment 5, no. 12 (2012): 1771–80. http://dx.doi.org/10.14778/2367502.2367516.

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Barrile, Vincenzo, Stefano Bonfa, and Giuliana Bilotta. "Big Data Analytics for a Smart Green Infrastructure Strategy." IOP Conference Series: Materials Science and Engineering 225 (August 2017): 012195. http://dx.doi.org/10.1088/1757-899x/225/1/012195.

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Dissertations / Theses on the topic "Data Analytics Infrastructure"

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Talevi, Iacopo. "Big Data Analytics and Application Deployment on Cloud Infrastructure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14408/.

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This dissertation describes a project began in October 2016. It was born from the collaboration between Mr.Alessandro Bandini and me, and has been developed under the supervision of professor Gianluigi Zavattaro. The main objective was to study, and in particular to experiment with, the cloud computing in general and its potentiality in the data elaboration field. Cloud computing is a utility-oriented and Internet-centric way of delivering IT services on demand. The first chapter is a theoretical introduction on cloud computing, analyzing the main aspects, the keywords, and the technologies
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Stouten, Floris. "Big data analytics attack detection for Critical Information Infrastructure Protection." Thesis, Luleå tekniska universitet, Datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59562.

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Attacks on critical information infrastructure are increasing in volume and sophistication with destructive consequences according to the 2015 Cyber Supply Chain Security Revisited report from ESG recently (ESG, 2015). In a world of connectivity and data dependency, cyber-crime is on the rise causing many disruptions in our way of living. Our society relies on these critical information infrastructures for our social and economic well-being, and become more complex due to many integrated systems. Over the past years, various research contributions have been made to provide intrusion detection
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de, Battista Nicholas. "Wireless technology and data analytics for structural health monitoring of civil infrastructure." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/6161/.

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The aim of this research was to investigate how wireless technology, combined with data analytics, can be used for effective structural health monitoring (SHM) of civil infrastructure. Two main applications were investigated, for which wireless sensor networks (WSNs) were integrated into complete SHM solutions: (1) long-term quasi-static monitoring on a suspension bridge, and (2) temporary monitoring of pedestrian bridge vibration. In the first application, a commercial off-the-shelf WSN was used to acquire and transmit data from extensometers measuring the longitudinal deck displacement of th
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Khaghani, Farnaz. "Resilience-based Operational Analytics of Transportation Infrastructure: A Data-driven Approach for Smart Cities." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99206.

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Studying recurrent mobility perturbations, such as traffic congestions, is a major concern of engineers, planners, and authorities as they not only bring about delay and inconvenience but also have consequent negative impacts like greenhouse gas emission, increase in fuel consumption, or safety issues. In this dissertation, we proposed using the resilience concept, which has been commonly used for assessing the impact of extreme events and disturbances on the transportation system, for high-probability low impact (HPLI) events to (a) provide a performance assessment framework for transportatio
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Moscoso-Zea, Oswaldo. "A Hybrid Infrastructure of Enterprise Architecture and Business Intelligence & Analytics to Empower Knowledge Management in Education." Doctoral thesis, Universidad de Alicante, 2019. http://hdl.handle.net/10045/97408.

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The large volumes of data (Big Data) that are generated on a global scale and within organizations along with the knowledge that resides in people and in business processes makes organizational knowledge management (KM) very complex. A right KM can be a source of opportunities and competitive advantage for organizations that use their data intelligently and subsequently generate knowledge with them. Two of the fields that support KM and that have had accelerated growth in recent years are business intelligence (BI) and enterprise architecture (EA). On the one hand, BI allows taking advantage o
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Xu, Haowen. "Data-driven framework for forecasting sedimentation at culverts." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6892.

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The increasing intensity and frequency of precipitation in recent decades, combined with the human interventions in watersheds, has drastically altered the natural regimes of water and sediment transport in watersheds over the whole contiguous United States. Sediment-transport related concerns include the sustainability of aquatic biology, the stability of the river morphology, and the security and vulnerability of various riverine structures. For the present context, the concerns are related to the acceleration of upland erosion (sediment production) and in-stream sediment-transport processes
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Peiro, Sajjad Hooman. "Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers." Licentiate thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193582.

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In this thesis, our goal is to enable and achieve effective and efficient real-time stream processing in a geo-distributed infrastructure, by combining the power of central data centers and micro data centers. Our research focus is to address the challenges of distributing the stream processing applications and placing them closer to data sources and sinks. We enable applications to run in a geo-distributed setting and provide solutions for the network-aware placement of distributed stream processing applications across geo-distributed infrastructures.  First, we evaluate Apache Storm, a widel
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Borke, Lukas. "Dynamic Clustering and Visualization of Smart Data via D3-3D-LSA." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18307.

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Mit der wachsenden Popularität von GitHub, dem größten Online-Anbieter von Programm-Quellcode und der größten Kollaborationsplattform der Welt, hat es sich zu einer Big-Data-Ressource entfaltet, die eine Vielfalt von Open-Source-Repositorien (OSR) anbietet. Gegenwärtig gibt es auf GitHub mehr als eine Million Organisationen, darunter solche wie Google, Facebook, Twitter, Yahoo, CRAN, RStudio, D3, Plotly und viele mehr. GitHub verfügt über eine umfassende REST API, die es Forschern ermöglicht, wertvolle Informationen über die Entwicklungszyklen von Software und Forschung abzurufen. Unsere Arbei
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Ask, Jacob. "Selected Trends and Space Technologies Expected to Shape the Next Decade of SSC Services." Thesis, KTH, Rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261779.

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Since the early 2000s the space industry has undergone significant changes such as the advent of reusable launch vehicles and an increase of commercial opportunities. This new space age is characterized by a dynamic entrepreneurial climate, lowered barriers to access space and the emergence of new markets. New business models are being developed by many actors and the merging of space and other sectors continues, facilitating innovative and disruptive opportunities. Already established companies are adapting in various ways as efforts to stay relevant are gaining attention. The previous pace o
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Oseku-Afful, Thomas. "The use of Big Data Analytics to protect Critical Information Infrastructures from Cyber-attacks." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59779.

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Unfortunately, cyber-attacks, which are the consequence of our increasing dependence on digital technology, is a phenomenon that we have to live with today. As technology becomes more advanced and complex, so have the types of malware that are used in these cyber-attacks. Currently, targeted cyber-attacks directed at CIIs such as financial institutions and telecom companies are on the rise. A particular group of malware known as APTs, which are used for targeted attacks, are very difficult to detect and prevent due to their sophisticated and stealthy nature. These malwares are able to attack a
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Books on the topic "Data Analytics Infrastructure"

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Demchenko, Yuri, Juan J. Cuadrado-Gallego, Oleg Chertov, and Marharyta Aleksandrova. Big Data Infrastructure Technologies for Data Analytics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69366-3.

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Sharma, Rohit, Gwanggil Jeon, and Yan Zhang, eds. Data Analytics for Internet of Things Infrastructure. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33808-3.

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Jang, Jinwoo. Development of Data Analytics and Modeling Tools for Civil Infrastructure Condition Monitoring Applications. [publisher not identified], 2016.

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Data Analytics for Advanced Metering Infrastructure. World Bank, Washington, DC, 2018. http://dx.doi.org/10.1596/32549.

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Data Analytics for Internet of Things Infrastructure. Springer, 2023.

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Big Data analytics with R and Hadoop: Set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics. Packt Publishing, 2013.

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Data-Driven Analytics for the Geological Storage of Co2. Taylor & Francis Group, 2018.

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Mohaghegh, Shahab. Data-Driven Analytics for the Geological Storage of CO2. Taylor & Francis Group, 2018.

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Mohaghegh, Shahab. Data-Driven Analytics for the Geological Storage of CO2. Taylor & Francis Group, 2018.

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Mohaghegh, Shahab. Data-Driven Analytics for the Geological Storage of CO2. Taylor & Francis Group, 2018.

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Book chapters on the topic "Data Analytics Infrastructure"

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Rajput, Prashant, Durga Toshniwal, and Apeksha Agggarwal. "Improving Infrastructure for Transportation Systems Using Clustering." In Big Data Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72413-3_9.

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Demchenko, Yuri, Juan J. Cuadrado-Gallego, Oleg Chertov, and Marharyta Aleksandrova. "Streaming Analytics and Spark." In Big Data Infrastructure Technologies for Data Analytics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69366-3_6.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Asset Anomaly Identification – Damage Detection in Structural Health Monitoring." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-2.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Long-Term Prediction of Water Supply Networks Condition." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-6.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Network Status Monitoring – Signal Aspect Detection for Railway Networks." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-4.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Prioritising Risk Assets for Infrastructure Maintenance." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-8.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Adapting Dynamic Behaviour Evolution in Structural Health Monitoring." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-9.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Service Demand Prediction – Passenger Flow." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-7.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "AI Empowering Infrastructure: The Road to Smartness." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-1.

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Wang, Yang, Zhidong Li, Ting Guo, Bin Liang, Hongda Tian, and Fang Chen. "Smart Sensing and Preventative Maintenance." In Data Analytics for Smart Infrastructure. CRC Press, 2024. https://doi.org/10.1201/9781003473893-10.

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Conference papers on the topic "Data Analytics Infrastructure"

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Rana, Shashank, Vimarsh Shah, Aishwarya Jayashankar, Ayush Bhardwaj, and Arnab K. Paul. "Understanding Infrastructure Drift in Federated Learning Systems." In 2024 IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW). IEEE, 2024. https://doi.org/10.1109/hipcw63042.2024.00063.

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Ma, YiQin, Jin Liu, JiaQi Ren, DongDong Cao, and Weili Li. "Asymmetric Information Infrastructure Network Attack-Defense Game False Network Construction Model." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808876.

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Wang, Yuxuan, Chengyu Cai, Zhe Li, Xianghua Wang, Xuesen Liu, and Qingxi Yang. "An Engineering Delivery Model for Cloud-Based Intelligent Computing Infrastructure." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030537.

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Nevesinjac, Miran, and Qing Tan. "Enhancing Infrastructure-as-Code with Objectoriented Programming for Improving Maintainability." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030527.

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Dhatchayani, K., R. Shubavathy, G. R. Reshma, Amalya Eunice A, Dharshini Sundar, and D. Vezhaventhan. "Optimizing Smart City Infrastructure Using 5G Edge AI with Adaptive Multi-Agent Reinforcement Learning." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961787.

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Bisen, Anand Singh, Ravi Kumar, Hema B, Abhinash Jenasamanta, Lalit Mohan Shakya, and R. Shanthi. "Enhancing the Security of Virtualized Infrastructure through Big Data Analytics in Cloud Computing." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895761.

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Ayush, Pradhyumn Singh, Pratham Jain, Vanshit Saini, Kashish Kumari, and Parveen Kumar Bajaj. "Enhancing Smart City Infrastructure Through IoT-Enabled Predictive Maintenance and Real-Time Data Analytics." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00029.

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Kapassa, Evgenia, Marios Touloupou, and Elena Kakoulli. "Bridging the Gap: Integrating Crowdsourced Data with Structured Analytics for Adaptive EV Charging Infrastructure." In 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2025. https://doi.org/10.23919/splitech65624.2025.11091778.

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Sarpal, Sumeet Singh, V. Mathan Kumar, Vivek Pimplapure, Shrinivas Patil, Vijay Marathe, and H. Mary Henrietta. "The Role of Cloud Computing in Real-Time Big Data Analytics for Smart Cities and Infrastructure Automation." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725303.

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Tan, Mike Yongjun. "Localized Corrosion Control and Management for Durable Renewable Energy Infrastructure." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00148.

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Abstract A huge network of renewable energy infrastructure such as offshore wind farms is currently being built for the emerging renewable energy age, often at remote locations and exposed to complex environments. The durability of these infrastructure assets is often dependent upon localized corrosion because local corrosion damages are likely the sites of local stress concentration and crack initiation. Currently these infrastructures are designed only for approximately 20-25 years of life, which is unsustainable not only from lifecycle assessment point of view, but also for generating signi
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Reports on the topic "Data Analytics Infrastructure"

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Collins, Kimberly, Raffi Der Wartanian, Francisca Beer, and Yunfei Hou. Moving Towards the Electrification of Medium- and Heavy-Duty Vehicles in the Inland Empire. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2305.1.

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This report investigates the transition to zero-emission medium- and heavy-duty vehicles (MDHD) within California’s Inland Empire (IE), emphasizing the significance of electric vehicle charging infrastructure and opportunity charging strategies in facilitating sustainable transportation. Utilizing a mixed-methods approach that combines a systematic literature review, geospatial and big data analytics, and thematic analysis of expert interviews, the study explores the multifaceted challenges and opportunities of electrification. The literature review assesses policies at various governance leve
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Gracias, Jose Sanchez, Gregory Parnell, Eric Specking, Edward Pohl, and Randy Buchanan. Smart cities–a structured literature review. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49695.

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Smart cities are rapidly evolving concept-transforming urban developments. They use advanced technologies and data analytics to improve quality of life, increase efficiency of infrastructure and services, and promote sustainable economic growth. They integrate multiple domains to create an interconnected and intelligent urban environment. The implementation of smart city solutions in international contexts was also analyzed and proposes strategies to overcome implementation challenges. The integration of technology and data-driven solutions has potential to revolutionize urban living by provid
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Zhao, Hui Yan, Sungha Kim, ChangSop Yang, and Mi Ju Son. Comparing acupoint catgut embedding and acupuncture therapies in simple obesity: Protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0014.

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Review question / Objective: How effective are acupoint catgut embedding therapy sole or with other treatment? Condition being studied: Simple obesity. Information sources: We will search for trials from the following electronic databases: MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Cumulative index to Nursing and Allied Health Literature (CINAHL). Trials will also be searched from three Korean medical databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Science-On and KoreaMed), a Chinese database (Chinese National Knowledge Inf
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Zhao, Hui Yan, Sungha Kim, ChangSop Yang, and Mi Ju Son. Comparing acupoint catgut embedding and acupuncture therapies in simple obesity: Protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.10.0014.

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Review question / Objective: How effective are acupoint catgut embedding therapy sole or with other treatment? Condition being studied: Simple obesity. Information sources: We will search for trials from the following electronic databases: MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Cumulative index to Nursing and Allied Health Literature (CINAHL). Trials will also be searched from three Korean medical databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Science-On and KoreaMed), a Chinese database (Chinese National Knowledge Inf
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Nasr, Elhami, Tariq Shehab, Nigel Blampied, and Vinit Kanani. Estimating Models for Engineering Costs on the State Highway Operation and Protection Program (SHOPP) Portfolio of Projects. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2365.

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The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected
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Wright, Alex, Peter Sanders, John Proust, Robin Workman, Tadas Andriejauskas, and Hao Ye. The new toolkit for highways asset management. TRL, 2021. http://dx.doi.org/10.58446/ojct3729.

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The application of consistent, reliable information is a key component of highway asset management. However, the tools to understand asset performance have developed rapidly over the last decade. These include asset surveys, intelligent infrastructure monitoring, crowd sourcing, remote sensing, data analytics and visualisation. However, their potential is not yet being fully exploited within the highway environment. By bringing these components of sensing and measurement together we could better understand highway assets and improve reactive and proactive decisions. This paper discusses the to
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de Jesus, Ana, and Sara Melander. From Vision to Practice – Insights from Nordic-Baltic 5G applications across sectors. Nordregio, 2024. http://dx.doi.org/10.6027/r2024:111403-2503.

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This report builds on the findings of the Nordic-Baltic 5G Monitoring Tool (N-B 5G MT) project ‘Analytical Report’, which focused on mapping 5G activities in the Nordic-Baltic region and analysing their roll-out status. In this follow-up report, we delve deeper into actual 5G applications across different verticals (i.e. sectors), including healthcare, transportation/mobility, industry and media/broadcasting. The report identifies challenges in each sector, such as funding constraints in healthcare, technical hurdles in transportation, market immaturity in industry, and infrastructure investme
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Svynarenko, Radion, Guoping Huang, Theresa L. Profant, and Lisa C. Lindley. Effectiveness of End-of-Life Strategies to Improve Health Outcomes and Reduce Disparities in Rural Appalachia: An Analytic Codebook. Pediatric End-of-Life (PedEOL) Care Research Group, College of Nursing, University of Tennessee, Knoxville, 2023. http://dx.doi.org/10.7290/n89xhm.

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Appalachia is one of the most medically underserved areas in the nation. The region has provider shortages and limited healthcare infrastructure. Children and adolescents in this area are in poor health and do not receive the needed quality care. Implementation of section 2302 of the 2010 Patient Protection and Affordable Care Act (ACA) enabled children enrolled in Medicaid/Children's Health Insurance Program with a terminal illness to use hospice care while continuing treatment for their terminal illness. In addition to being more comprehensive than standard hospice care, this relatively new
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Wang, Chih-Hao, and Na Chen. Investigating the Resilience of Accessibility to Emergency and Lifesaving Facilities under Natural Hazards. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2126.

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Studying accessibility, including the resilience of city transportation networks, is critical to understand how these networks influence individuals’ mobility and lives. This study developed an analytical research framework to examine the resilience of accessibility to emergency and lifesaving facilities under the threats of natural hazards such as earthquakes and wildfires. With a cumulative-opportunity approach, the authors measured accessibility by counting emergency and lifesaving facilities (including parks, schools, hospitals, roads, and fire stations) that can be reached by driving at t
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