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Relevant bibliographies by topics / Data-driven communication

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Dissertations / Theses
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Academic literature on the topic 'Data-driven communication'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Data-driven communication"

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Chien-Hsiang Wu, Chien-Hsiang Wu, and Chin-Feng Lai Chien-Hsiang Wu. "Data-driven Diversity Antenna Selection for MIMO Communication using Machine Learning." 網際網路技術學刊 23, no. 1 (2022): 001–9. http://dx.doi.org/10.53106/160792642022012301001.

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<p>With the popularity of wireless application environments, smart antenna technology has completely changed the communication system. In order to improve the quality of wireless transmission, smart antennas have been widely used in wireless devices. Wireless signal modeling and prediction machine learning gradually replaced the traditional smart antenna selection method in the antenna selection solution. This article utilizes mobile devices to adjust the diversity antenna pattern for test verification in a MIMO wireless communication environment. The proposed method manipulates signal p

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Faria Brandão, Renata. "Challenging Data-Driven Journalism." Journalism Practice 13, no. 8 (2019): 927–30. http://dx.doi.org/10.1080/17512786.2019.1647792.

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MacDONALD, SUSAN PECK. "Data-Driven and Conceptually Driven Academic Discourse." Written Communication 6, no. 4 (1989): 411–35. http://dx.doi.org/10.1177/0741088389006004001.

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Dormann, Katharina, Benjamin Noack, and Uwe Hanebeck. "Optimally Distributed Kalman Filtering with Data-Driven Communication." Sensors 18, no. 4 (2018): 1034. http://dx.doi.org/10.3390/s18041034.

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Yuan, Xin, Rajiv Gupta, and Rami Melhem. "Demand-Driven Data Flow Analysis for Communication Optimization." Parallel Processing Letters 07, no. 04 (1997): 359–70. http://dx.doi.org/10.1142/s012962649700036x.

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Exhaustive global array data flow analysis for communication optimization is expensive and considered to be impractical for large programs. This paper proposes a demand-driven analysis approach that reduces the analysis cost by computing only the data flow information related to optimizations. In addition, the analysis cost of our scheme can be effectively managed by trading space for time or compromising precision for time.

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Xu, Yue, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, and Shuguang Cui. "Scalable Learning Paradigms for Data-Driven Wireless Communication." IEEE Communications Magazine 58, no. 10 (2020): 81–87. http://dx.doi.org/10.1109/mcom.001.2000143.

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Rinat, Khusnutdinov, Manish Ghalwan, Namita Kaur, Rishabh Arora, Alina Banerjee, and G. Lavanya. "Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test." BIO Web of Conferences 86 (2024): 01101. http://dx.doi.org/10.1051/bioconf/20248601101.

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The purpose of this research is to examine how data-driven dynamic urban communication affects the effectiveness and optimization of vital municipal services in a variety of contexts. Interestingly, waste management IoT sensors have an efficiency score of 9, which is remarkable and indicates the promise of data-driven approaches in this industry. An impressive 4.3 user satisfaction rating highlights how well these technologies are received. Additionally, data-driven communication techniques provide affordable options, as seen by their $2.5 service request cost, which highlights the possibility

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Chioma, Anthonia Okolo, Chidi Rawlings, Babawarun Oloruntoba, Olawumi Arowoogun Jeremiah, and Oyeyemi Adeniyi Adekunle. "Data-driven approaches to bridging the gap in health communication disparities: A systematic review." World Journal of Advanced Research and Reviews 21, no. 2 (2024): 1435–45. https://doi.org/10.5281/zenodo.14031230.

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Data-driven approaches have emerged as powerful tools in addressing health communication disparities, aiming to bridge the gap in healthcare access and outcomes among diverse populations. A systematic review of these approaches reveals their significant potential in understanding, targeting, and mitigating communication disparities across various demographic and socio-economic groups. One key aspect of data-driven approaches is their ability to analyze vast amounts of health data to identify communication barriers and disparities. By leveraging advanced analytics and machine learning algorithm

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B. Ramesh. "ConsensusPlus: Blockchain Driven Secure Data Sharing Protocol for Internet of Vehicles." Journal of Information Systems Engineering and Management 10, no. 8s (2025): 100–122. https://doi.org/10.52783/jisem.v10i8s.991.

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The rapid expansion of the Internet of Vehicles (IoV) creates a distinct set of difficulties and opportunities for improving vehicular communication and data security. "ConsensusPlus" provides a revolutionary blockchain-based protocol for secure data sharing within the IoV. This protocol uses a proprietary consensus mechanism to enable real-time, reliable data sharing and integrity across a network of vehicles and infrastructure components. The integration of blockchain technology, which provides a decentralized framework for managing vehicular data in a transparent, immutable, and secure mann

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Battistelli, Giorgio, Alessio Benavoli, and Luigi Chisci. "State Estimation with Remote Sensors and Data-Driven Communication." IFAC Proceedings Volumes 42, no. 20 (2009): 364–69. http://dx.doi.org/10.3182/20090924-3-it-4005.00062.

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Dissertations / Theses on the topic "Data-driven communication"

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Koda, Yusuke. "Visual Data-Driven Millimeter Wave Communication Systems." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263790.

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Hirata, Yoko. "Facilitating communication-oriented activities through data-driven learning." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7743/.

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Data-Driven Learning (DDL), an approach developed by Tim Johns, is an exploratory learning methodology which enables students to analyze the lexical and grammatical patterns of key words in various authentic contexts, organized into a series of concordance lines. It is a learner-centered approach that encourages students to work autonomously, engaging in what Johns calls ‘discovery learning’. DDL has proven itself to be an effective tool for advanced students to further improve the depth of their linguistic knowledge, but the wider possibilities to which DDL might be applied have been sparsely

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Economou, Emmanuel. "How institutional pressures influence data-driven corporate communications." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/209153/1/Emmanuel_Economou_Thesis.pdf.

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This study explores the use of data to guide corporate communications, a practice of which empirical research is limited, and is the first to investigate how institutional pressures influence practitioners in their work. In-depth interviews were conducted with 15 participants from a wide range of organisations in Brisbane, Australia. Additionally, the study illustrates the current state of research on big data in corporate communication in a systematic literature review. The study’s findings indicate that institutional pressures influence data-driven corporate communications and are generally

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Chen, Longbiao. "Big data-driven optimization in transportation and communication networks." Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS393.pdf.

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L'évolution des structures métropolitaines ont créé divers types de réseaux urbains. Parmi lesquels deux types de réseaux sont d'une grande importance pour notre vie quotidienne : les réseaux de transport correspondant à la mobilité humaine dans l'espace physique et les réseaux de communications soutenant les interactions humaines dans l'espace numérique. L'expansion rapide dans la portée et l'échelle de ces deux réseaux soulève des questions de recherche fondamentales sur la manière d’optimiser ces réseaux. Certains des objectifs principaux comprennent le provisioning de ressources à la deman

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Horner, Douglas. "A data-driven framework for rapid modeling of wireless communication channels." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/38947.

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Approved for public release; distribution is unlimited.<br>Accurate estimation and prediction of wireless signal strength holds the promise to improve a wide variety of applications in network-ing and unmanned systems. Current estimation approaches use either simplistic attenuation equations or detailed physical models that provide limited accuracy and may require a lengthy period of environmental assessment and computation. This dissertation presents a new, data-driven, stochastic framework for rapidly building accurate wireless connectivity maps. The framework advances the state of the art i

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Sathyamoorthy, Peramanathan. "Enabling Energy-Efficient Data Communication with Participatory Sensing and Mobile Cloud : Cloud-assisted crowd-sourced data-driven optimization." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-274875.

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This thesis proposes a novel power management solution for the resource-constrained devices in the context of Internet of Things (IoT). We focus on smartphones in the IoT, as they are getting increasingly popular and equipped with strong sensing capabilities. Smartphones have complex and chaotic asynchronous power consumption incurred by heterogeneous components including their onboard sensors. Their interaction with the cloud can support computation offloading and remote data access via the network. In this work, we aim at monitoring the power consumption behaviours of smartphones and profili

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Lundeberg, Mathilda, and Tilda Lundgren. "Crafting and Conveying a Meaningful Message of Change : A Case Study of How Data-Driven Change Communication Can Drive Change Readiness in a Swedish Rental Services Company." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264123.

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In today’s turbulent business environment, an increasing number of businesses and organizations are finding themselves confronted with a crushing pressure to constantly reinvent themselves. Given such a business environment, coupled with high stakes and fierce competitiveness, it is quite unsurprising that most change efforts are reported to fail. Change communication, or rather the lack thereof, has been pointed out as one of the most important reasons. In recent years, many scholars have started to differentiate between participatory and programmatic change communication, elicited by a recon

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Alkhateeb, Osama. "DATA-DRIVEN UNCERTAINTY QUANTIFICATION IN APPLICATIONS OF ELECTROMAGNETICS AND WIRELESS COMMUNICATION VIA ARBITRARY POLYNOMIAL CHAOS." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1509988525627307.

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Wiigh, Oscar. "Visualizing partitioned data in Audience Response Systems : A design-driven approach." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280847.

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Meetings and presentations are often monological in their nature, creating a barrier of productivity in workplaces around the world. By utilizing modern technologies such as a web-based Audience Response System (ARS), meetings and presentations can be transformed into interactive exercises where the audience’s views, opinions and answers can be expressed. Visualizing these audience responses and relating questions-specific partitioned answers between each other, through visualization structures, was the topic of this report. The thesis project was carried out in collaboration with Mentimeter,

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Lavassani, Mehrzad. "Reliable Information Exchange in IIoT : Investigation into the Role of Data and Data-Driven Modelling." Licentiate thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34886.

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The concept of Industrial Internet of Things (IIoT) is the tangible building block for the realisation of the fourth industrial revolution. It should improve productivity, efficiency and reliability of industrial automation systems, leading to revenue growth in industrial scenarios. IIoT needs to encompass various disciplines and technologies to constitute an operable and harmonious system. One essential requirement for a system to exhibit such behaviour is reliable exchange of information. In industrial automation, the information life-cycle starts at the field level, with data collected by s

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Books on the topic "Data-driven communication"

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Gendron, Michael. Business driven data communications. Pearson Prentice Hall, 2013.

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C, Lin Simon, and Yen Eric, eds. Data driven e-Science: Use cases and successful applications of distributed computing infrastructures (ISGC 2010). Springer, 2011.

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Sorce, Patricia A. Personalization: Data-driven print and Internet communications. RIT Cary Graphic Arts Press, 2009.

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Sorce, Patricia A. Personalization: Data-driven print and Internet communications. RIT Cary Graphic Arts Press, 2009.

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Mathur, Rajeev, C. P. Gupta, Vaibhav Katewa, Dharm Singh Jat, and Neha Yadav, eds. Emerging Trends in Data Driven Computing and Communications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3915-9.

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Federico, Carminati, Galli Carminati Giuliana, and SpringerLink (Online service), eds. From the Web to the Grid and Beyond: Computing Paradigms Driven by High-Energy Physics. Springer Berlin Heidelberg, 2012.

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Diakopoulos, Nicholas, Christophe Hurter, Sheelagh Carpendale, and Nathalie Henry Riche. Data-Driven Storytelling. CRC Press LLC, 2018.

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Diakopoulos, Nicholas, Christophe Hurter, Sheelagh Carpendale, and Nathalie Henry Riche. Data-Driven Storytelling. CRC Press LLC, 2018.

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Diakopoulos, Nicholas, Christophe Hurter, Sheelagh Carpendale, and Nathalie Henry Riche. Data-Driven Storytelling. CRC Press LLC, 2018.

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Riche, Nathalie Henry, Christophe Hurter, Nicholas Diakopoulos, and Sheelagh Carpendale, eds. Data-Driven Storytelling. CRC Press, 2018.

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Book chapters on the topic "Data-driven communication"

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Chevalier, Fanny, Melanie Tory, Bongshin Lee, et al. "From Analysis to Communication." In Data-Driven Storytelling. A K Peters/CRC Press, 2018. http://dx.doi.org/10.1201/9781315281575-7.

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Lund, Anne Katrine, and Mette Refshauge. "The Data-Driven Communicator." In Mastering Corporate Communication. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50232-3_6.

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Kefford, Glenn. "Voter Attitudes to Data-Driven Campaigning." In Political Campaigning and Communication. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68234-7_7.

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Kyriacou, Costas, and Paraskevas Evripidou. "Communication Assist for Data Driven Multithreading." In Advances in Informatics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-38076-0_23.

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Fountas, Panagiotis, Maria Papathanasaki, Kostas Kolomvatsos, and Christos Anagnostopoulos. "Query Driven Data Subspace Mapping." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08337-2_41.

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Arsalan, Ahmad, Tariq Umer, and Rana Asif Rehman. "Federated Learning Technique in Enabling Data-Driven Design for Wireless Communication." In Data-Driven Intelligence in Wireless Networks. CRC Press, 2023. http://dx.doi.org/10.1201/9781003216971-4.

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Bindhu, M., S. Parasuraman, and S. Yogeeswran. "Hybrid Intermission—Cognitive Wireless Communication Network." In Advances in Data-driven Computing and Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0981-0_61.

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Fahmy, Hossam Mahmoud Ahmad. "Energy Management Techniques for WSNs (2): Data-Driven Approach." In Signals and Communication Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29700-8_5.

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Kefford, Glenn. "Data-Driven Campaigning: A Case Study from the Ground." In Political Campaigning and Communication. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68234-7_6.

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Cozzolino, Davide, Giovanni Poggi, and Luisa Verdoliva. "Data-Driven Digital Integrity Verification." In Multimedia Forensics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7621-5_11.

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AbstractImages and videos are by now a dominant part of the information flowing on the Internet and the preferred communication means for younger generations. Besides providing information, they elicit emotional responses, much stronger than text does. It is probably for these reasons that the advent of AI-powered deepfakes, realistic and relatively easy to generate, has raised great concern among governments and ordinary people alike.

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Conference papers on the topic "Data-driven communication"

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Yang, Kun. "BIGCOM 2024: Data-driven Self-evolving Communication Networks." In 2024 10th International Conference on Big Data Computing and Communications (BigCom). IEEE, 2024. https://doi.org/10.1109/bigcom65357.2024.00009.

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Wu, Jie, Huarong Zhao, Dezhi Xu, Zhengdao Zhang, and Li Peng. "Data-driven Sliding-mode Control for Bridge Cranes Against Limited Communication and Data Dropouts." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11066049.

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Sun, Zhen, Lei Shi, and Shuaiming Yan. "Cooperative Localization in Multi-Robot Systems: Addressing Complex Communication Constraints." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11066024.

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Li, Jian, Yibo Chen, Jincheng Cai, Shumin Yao, and Ying Zeng. "Reputation-Driven Communication Optimization for Wireless Edge Data Verification." In 2025 IEEE 34th Wireless and Optical Communications Conference (WOCC). IEEE, 2025. https://doi.org/10.1109/wocc63563.2025.11082194.

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Kang, Yangming, Yaxing Zhang, Pin Lv, and Jian Liang. "Design of Network Communication Security Scheme Based on Dynamic Trust Estimation." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065496.

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Kim, Do Young, Kyunghyun Kim, Gyeongseop Lee, Niloy Das, and Seong-Woo Kim. "A Data-Driven Odyssey in Solar Vehicles." In 2025 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2025. https://doi.org/10.1109/iceic64972.2025.10879674.

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Di, Zixiang, Bei Li, Xinzhou Cheng, et al. "Road Path Recommendation Method Based on Mobile Communication Network Quality." In 2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN). IEEE, 2024. http://dx.doi.org/10.1109/ngdn61651.2024.10744091.

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Liang, Fuguang, Yuxuan Liu, Chunbo Pei, Songhua Jin, Jiahao Xiao, and Jian Han. "Communication Data Delivery Optimization for Distribution Automation Based on Multi-Agent Reinforcement Learning." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065796.

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Qin, Zihui, Yilin Cao, Jeongyeong Park, et al. "Data-Driven Recommendation in Brain-Metaverse Interaction." In 2024 10th International Conference on Smart Computing and Communication (ICSCC). IEEE, 2024. http://dx.doi.org/10.1109/icscc62041.2024.10690613.

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Thamizhselvi, D., Praveen S, Akshaya Praveen A, Bharath S, and Dhanusha R. "Data-Driven Investing: Enhancing Trading Strategies with ML and Big Data." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019142.

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Reports on the topic "Data-driven communication"

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Forsythe, James Chris, Matthew R. Glickman, Michael Joseph Haass, and Jonathan H. Whetzel. A data driven approach to assess team performance through team communication. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1057247.

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Pasupuleti, Murali Krishna. Scalable Quantum Networks: Entanglement-Driven Secure Communication. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi525.

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Abstract: Scalable quantum networks, powered by entanglement-driven secure communication, are poised to revolutionize global information exchange, cybersecurity, and quantum computing infrastructures. Unlike classical communication systems, quantum networks leverage quantum entanglement and superposition to enable ultra-secure data transmission, quantum key distribution (QKD), and instantaneous information sharing across large-scale networks. This research explores the fundamental principles of entanglement-based communication, the role of quantum repeaters, quantum memory, and multi-nodal ent

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Ihaddaden, Fodil. Introduction to Web App Development with R Shiny. Instats Inc., 2024. http://dx.doi.org/10.61700/c3vssh3mivcmo1636.

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This workshop provides an extensive introduction to developing interactive web applications using R Shiny, enabling participants to create, deploy, and optimize data-driven web tools. Ideal for PhD students, professors, and researchers, the course covers fundamental and advanced concepts tailored to enhance research presentation and real-time analytical communication across various scientific domains.

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Dodson, Giles. Advancing Local Marine Protection, Cross Cultural Collaboration and Dialogue in Northland. Unitec ePress, 2015. http://dx.doi.org/10.34074/rsrp.12015.

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This research report summarises findings and observations arising from the Advancing marine protection through cross-cultural dialogue project, which examines community-driven, collaborative marine protection campaigns currently being pursued in Northland. This project consists of a series of case studies undertaken between 2012–2014 and draws on data obtained from archival research, semistructured interviews with campaign participants, and published documents. The aims of these case studies have been to compare different approaches taken towards marine protection in Northland and to understan

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Dodson, Giles. Advancing Local Marine Protection, Cross Cultural Collaboration and Dialogue in Northland. Unitec ePress, 2015. http://dx.doi.org/10.34074/rsrp.12015.

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This research report summarises findings and observations arising from the Advancing marine protection through cross-cultural dialogue project, which examines community-driven, collaborative marine protection campaigns currently being pursued in Northland. This project consists of a series of case studies undertaken between 2012–2014 and draws on data obtained from archival research, semistructured interviews with campaign participants, and published documents. The aims of these case studies have been to compare different approaches taken towards marine protection in Northland and to understan

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Dodson, Giles. Advancing Local Marine Protection, Cross Cultural Collaboration and Dialogue in Northland. Unitec ePress, 2015. http://dx.doi.org/10.34074/rsrp.12015.

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This research report summarises findings and observations arising from the Advancing marine protection through cross-cultural dialogue project, which examines community-driven, collaborative marine protection campaigns currently being pursued in Northland. This project consists of a series of case studies undertaken between 2012–2014 and draws on data obtained from archival research, semistructured interviews with campaign participants, and published documents. The aims of these case studies have been to compare different approaches taken towards marine protection in Northland and to understan

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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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Yaseen, Lama, Nourah Al-Hosain, Ibrahem Shatnawi, and Abdelrahman Muhsen. Impact of Urban Traffic on Fuel Consumption Leveraging IoT Data: Case Study of Riyadh City. King Abdullah Petroleum Studies and Research Center, 2024. https://doi.org/10.30573/ks--2024-dp72.

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This study explores the rising trend of traffic congestion in Riyadh and its impact on fuel consumption for passenger cars amid the challenges of rapid urbanization and increasing vehicle use. By utilizing real-time floating car data (FCD) collected by vehicles equipped with Global Positioning System (GPS) technology and communication systems, this study illustrates the potential of the Internet of Things (IoT) and smart city technologies in developing intelligent transportation systems and improving urban mobility management. A spatial analysis of the traffic flow dynamics in Riyadh, focusing

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Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/sshap.2021.001.

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Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to

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Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/sshap.2021.001.

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Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to

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