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Journal articles on the topic 'Data-driven communication'

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1

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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7

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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10

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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Zhang, Ping, and Qimei Cui. "Big data-driven resource management for green communication network." JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING 30, no. 6 (2013): 557–64. http://dx.doi.org/10.3724/sp.j.1249.2013.06557.

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Laviosa, S. "Data-Driven Learning for Translating Anglicisms in Business Communication." IEEE Transactions on Professional Communication 49, no. 3 (2006): 267–74. http://dx.doi.org/10.1109/tpc.2006.880739.

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13

Battistelli, Giorgio, Alessio Benavoli, and Luigi Chisci. "Data-driven communication for state estimation with sensor networks." Automatica 48, no. 5 (2012): 926–35. http://dx.doi.org/10.1016/j.automatica.2012.02.028.

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14

Duan, Qingyu, Mengli Liang, and Xiaoguang Wang. "The Human‐Data Interaction Driven by Data Reuse." Proceedings of the Association for Information Science and Technology 61, no. 1 (2024): 905–7. http://dx.doi.org/10.1002/pra2.1135.

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ABSTRACTThe data‐intensive research paradigm is sweeping through the scientific community, and new interaction challenges for interacting with data have emerged. Data reuse emerges as a critical driver of human‐data interaction, positioning data repositories at the forefront as the optimal solution for facilitating this process. This study adopts a diary study methodology to analyze the data repository‐supported human‐data interaction behaviors driven. The findings reveal that human‐data interaction extends beyond mere engagement with data, encapsulating elements of human‐computer interaction,
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Almohtasib, Subhi, and Alaa H. Al-Hamami. "Securing Data Communication for Data Driven Applications Using End to End Encryption." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (2018): 756. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp756-762.

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<span>Many users of smartphones have secret data they want to save it on their devices. The probability of a device damage or stolen prevents them from saving data. Therefore, data driven applications used to save user’s data on a remote server. Protection of the data during its transmission considered as one of the success aspect for these applications. In this paper, an enhanced method for data encryption proposed which guarantees data secrecy during its transmission over network. User’s data encrypted before transmission using Base64 class. Data encryption and decryption implemented t
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Subhi, Almohtasib, and H. Al-Hamami Alaa. "Securing Data Communication for Data Driven Applications Using End to End Encryption." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (2018): 756–62. https://doi.org/10.11591/ijeecs.v10.i2.pp756-762.

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Many users of smartphones have secret data they want to save it on their devices. The probability of a device damage or stolen prevents them from saving data. Therefore, data driven applications used to save user’s data on a remote server. Protection of the data during its transmission considered as one of the success aspect for these applications. In this paper, an enhanced method for data encryption proposed which guarantees data secrecy during its transmission over network. User’s data encrypted before transmission using Base64 class. Data encryption and decryption implemented t
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17

Lo Duca, Angelica, Matteo Abrate, Andrea Marchetti, and Manuela Moretti. "Genealogical Data-Driven Visits of Historical Cemeteries." Informatics 11, no. 1 (2024): 9. http://dx.doi.org/10.3390/informatics11010009.

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This paper describes the Integration of Archives and Cultural Places (IaCuP) project, which aims to integrate information about a historical cemetery, including its map and grave inventory, with genealogical and documentary knowledge extracted from relevant historical archives. The integrated data are accessible to cemetery visitors through an interactive mobile application, enabling them to navigate a graphical representation of the cemetery while exploring comprehensive visualizations of genealogical data. The basic idea stems from the desire to provide people with access to the rich context
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18

Bushuev, Nikolay, Devendra Singh, Archana Sehgal, Chandra Mohan, and Deepika Garg. "Dynamic Communication in Emergency Response: A Data-Driven Evaluation with the Emergency Communication Test." BIO Web of Conferences 86 (2024): 01099. http://dx.doi.org/10.1051/bioconf/20248601099.

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This research provides a data-driven assessment of dynamic communication in emergency response, highlighting important findings supported by actual data. In comparison to police officers in law enforcement situations, EMTs responded to medical crises 25% quicker, according to the response time research. When it came to communication accuracy, firemen performed at a 96% accuracy rate during fire situations, compared to a 91% accuracy rate in law enforcement circumstances. When compared to law enforcement situations, there was a 3% improvement in the completeness of information shared in fire in
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19

Eswar, K., Patil Hrishikesh, and P. Madhumathy. "Advanced Data-Driven Intelligent Control and Security Architectures in Next-Generation Wireless Communication Networks." Research and Applications: Emerging Technologies 7, no. 1 (2025): 46–49. https://doi.org/10.5281/zenodo.14747968.

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<em>The contemporary wireless communication ecosystem represents a dynamically evolving landscape characterized by sophisticated computational and communication challenges. This research explores the integration of data-driven intelligent control and security architectures, emphasizing their role in enhancing performance and safeguarding communications. By synthesizing insights from over 18 research publications, it provides a comprehensive analysis of advancements, challenges, and solutions critical for modern applications such as IoT, 6G, and smart cities. Key contributions include the syste
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20

Salminen, Joni O., Soon-gyo Jung, and Bernard J. Jansen. "Are Data-Driven Personas Considered Harmful?" Persona Studies 7, no. 1 (2021): 48–63. http://dx.doi.org/10.21153/psj2021vol7no1art1236.

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In this work, we build on research on data-driven personas to present what might be “wrong with them”. From wrong assumptions by the client and wrong applications of methods to imbalanced, messy, or superficial data; a lack of communication regarding how these personas are created; and issues with usability, there are a plethora of issues that plague data-driven personas. We conclude by contemplating whether data-driven personas are even worthwhile and, if they are, then what are some of the immediate remedies required from the human-computer interaction community to make data-driven personas
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21

Lin, Po-Chiang, Lionel F. Gonzalez Casanova, and Bakary K. S. Fatty. "Data-Driven Handover Optimization in Next Generation Mobile Communication Networks." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2368427.

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Network densification is regarded as one of the important ingredients to increase capacity for next generation mobile communication networks. However, it also leads to mobility problems since users are more likely to hand over to another cell in dense or even ultradense mobile communication networks. Therefore, supporting seamless and robust connectivity through such networks becomes a very important issue. In this paper, we investigate handover (HO) optimization in next generation mobile communication networks. We propose a data-driven handover optimization (DHO) approach, which aims to mitig
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22

Ponnusamy, Vijayakumar. "Data-Driven Methods for Next Generation of Wireless Communication Networks." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 4 (2020): 4696–700. http://dx.doi.org/10.30534/ijatcse/2020/73942020.

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23

Ma, Yuan, Xu Wang, Zhi Quan, and H. Vincent Poor. "Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems." IEEE Transactions on Communications 67, no. 5 (2019): 3665–76. http://dx.doi.org/10.1109/tcomm.2019.2891708.

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24

Xie, Lianghui, Osama Elnahas, Qinglin Zhao, and Zhi Quan. "Data-Driven RF Transmit Power Calibration for Wireless Communication Systems." IEEE Wireless Communications Letters 9, no. 5 (2020): 721–25. http://dx.doi.org/10.1109/lwc.2020.2967213.

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25

Sudarshan Chakravarthy, Bade, B. Uma Rani, and K. Karunakaran. "DATA-DRIVEN INSIGHTS INTO SOCIAL MEDIA'S EFFECTIVENESS IN DIGITAL COMMUNICATION." Proceedings on Engineering Sciences 6, no. 2 (2024): 637–44. http://dx.doi.org/10.24874/pes06.02.020.

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26

Lin, Kai, Fuzhen Xia, and Giancarlo Fortino. "Data-driven clustering for multimedia communication in Internet of vehicles." Future Generation Computer Systems 94 (May 2019): 610–19. http://dx.doi.org/10.1016/j.future.2018.12.045.

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27

Sheng, Xuanzhu, Chao Yu, Yang Zhou, and Xiaolong Cui. "Reputation-Driven Asynchronous Federated Learning for Optimizing Communication Efficiency in Big Data Labeling Systems." Mathematics 12, no. 18 (2024): 2932. http://dx.doi.org/10.3390/math12182932.

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With the continuous improvement of the performance of artificial intelligence and neural networks, a new type of computing architecture-edge computing, came into being. However, when the scale of hybrid intelligent edge systems expands, there are redundant communications between the node and the parameter server; the cost of these redundant communications cannot be ignored. This paper proposes a reputation-based asynchronous model update scheme and formulates the federated learning scheme as an optimization problem. First, the explainable reputation consensus mechanism for hybrid intelligent l
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Zhu, Weiming. "A Study of Big-Data-Driven Data Visualization and Visual Communication Design Patterns." Scientific Programming 2021 (December 7, 2021): 1–11. http://dx.doi.org/10.1155/2021/6704937.

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This paper provides an in-depth study and analysis of big-data-driven data visualization and visual communication design models. The characteristics of new media and the definition of traditional media are analyzed; the importance of the new media environment is derived through comparison; and the successful cases of new media integration today are analyzed. In this process, we will optimize the traditional science and technology intelligence service model, optimize the various components that make up the science and technology intelligence wisdom service, achieve model optimization and reflec
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Mundla, Vamshi, and Prabhavathi Mareddy. "Data-Driven Dialogue: Unleashing the Transformative Power of Databases in Customer Communication Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 02 (2023): 1–7. https://doi.org/10.55041/ijsrem17820.

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In the era of digital transformation, organizations are increasingly relying on robust Customer Communication Management (CCM) systems to deliver personalized, timely, and compliant communications across multiple channels. At the core of these systems lies the efficient management of dynamic data that ranges from customer profiles and transaction records to communication templates and audit logs. This paper investigates the transformative role of databases in enabling state-of-the-art CCM systems. We explore a wide spectrum of database architectures—from traditional relational databases to mod
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Elomina, Marie Joy Q., Olga J. Domingo, Raymond Wally M. Pabalan, and Sofia Marie H. Guintu. "Optimizing Remote Communication: Data-Driven Strategies for Workplace Connectivity at Laguna University." International Journal in Information Technology in Governance, Education and Business 6, no. 1 (2024): 122–34. http://dx.doi.org/10.32664/ijitgeb.v6i1.142.

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The study analyzed remote communication practices of faculty members to propose strategies for workplace connectivity at Laguna University. The following objectives were: (1) Measure the frequency and type of communication channels utilized by Laguna University faculty since adopting remote work models. (2) Determine the relationship between the frequency of communication channels and employee satisfaction with remote work communication practices of faculty members at Laguna University. (3) Evaluate perceived communication patterns in the current practices of faculty members at Laguna Universi
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Yang, Jing, and Xiaoman Li. "Data-Driven Dynamic Neural Programming for Network Media Nonlinear Visual Communication Design." Mathematical Problems in Engineering 2022 (February 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6283902.

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As network media data gradually enters the field of visual communication design as information, more scholars have begun to rationally study the relationship between visual communication and network media. This paper mainly studies how to use data-driven nonlinear dynamic neural programming method to realize visual communication design in network media environment. The study constructs a network media visual communication design system from three aspects: data-driven, design process realization, and system flow establishment. The network media visual communication design is realized through th
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Ciscon, Lawrence A., James D. Wise, and Don H. Johnson. "A Distributed Data Sharing Environment for Telerobotics." Presence: Teleoperators and Virtual Environments 3, no. 4 (1994): 321–40. http://dx.doi.org/10.1162/pres.1994.3.4.321.

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We designed and implemented a distributed processing environment for uniformly communicating and sharing information among remotely located robots and human operators. This environment interconnects heterogeneous processors to withstand dynamically changing configurations and communications failures, and to support mixed-mode operation (simultaneous teleoperation and autonomous modes). The key design notion is undirected, data-driven communication: the recipients of data rather than the creators define communications paths for well-formed data blocks augmented by descriptive properties. Using
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33

Hammond, Philip. "From computer-assisted to data-driven: Journalism and Big Data." Journalism 18, no. 4 (2016): 408–24. http://dx.doi.org/10.1177/1464884915620205.

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Despite claims of continuity, contemporary data journalism is quite different from the earlier tradition of computer-assisted reporting. Although it echoes earlier claims about being scientific and democratic, these qualities are understood as resulting from better data access rather than as being something achieved by the journalist. In the context of Big Data in particular, human subjectivity tends to be downgraded in importance, even understood as getting in the way if it means hubristically theorising about causation rather than working with correlation and allowing the data to speak. Incr
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34

Omotayo, Emmanuel Omoyemi. "Ethical Implications of AI-Driven AAC Systems: Ensuring Inclusivity and Equity in Assistive Technologies." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 2576–81. https://doi.org/10.5281/zenodo.15063280.

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This study investigates the ethical implications of Artificial Intelligence (AI) integration into Augmentative and Alternative Communication (AAC) systems, focusing on inclusivity, accessibility, and data privacy in assistive technologies. AI-driven AAC systems enhance communication for individuals with impairments by offering features like predictive text, speech recognition, and symbol-to-text translation. However, ethical challenges arise as these systems increasingly rely on sensitive user data, which could jeopardize privacy without strict safeguards. Furthermore, limitations in linguisti
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Nadler, Anthony, and Lee McGuigan. "An impulse to exploit: the behavioral turn in data-driven marketing." Critical Studies in Media Communication 35, no. 2 (2017): 151–65. http://dx.doi.org/10.1080/15295036.2017.1387279.

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36

Heaphy, Liam. "Data ratcheting and data-driven organisational change in transport." Big Data & Society 6, no. 2 (2019): 205395171986735. http://dx.doi.org/10.1177/2053951719867359.

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This article explores the process by which intelligent transport system technologies have further advanced a data-driven culture in public transport and traffic control. Based on 12 interviews with transport engineers and fieldwork visits to three control rooms, it follows the implementation of Real-Time Passenger Information in Dublin and the various technologies on which it is dependent. It uses the concept of ‘data ratcheting’ to describe how a new data-driven rational order supplants a gradualist, conservative ethos, creating technological dependencies that pressure organisations to take c
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37

van der Sloot, Bart, and Sascha van Schendel. "Procedural law for the data-driven society." Information & Communications Technology Law 30, no. 3 (2021): 304–32. http://dx.doi.org/10.1080/13600834.2021.1876331.

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38

Huang, Yu, Fei Ji, Zhuangkun Wei, Miaowen Wen, and Weisi Guo. "Signal Detection for Molecular Communication: Model-Based vs. Data-Driven Methods." IEEE Communications Magazine 59, no. 5 (2021): 47–53. http://dx.doi.org/10.1109/mcom.001.2000957.

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Chen, Xiao, Julian Cheng, Zaichen Zhang, Liang Wu, Jian Dang, and Jiangzhou Wang. "Data-Rate Driven Transmission Strategies for Deep Learning-Based Communication Systems." IEEE Transactions on Communications 68, no. 4 (2020): 2129–42. http://dx.doi.org/10.1109/tcomm.2020.2968314.

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40

Chen, Jia, Akshay Malhotra, and Ioannis D. Schizas. "Data-driven sensors clustering and filtering for communication efficient field reconstruction." Signal Processing 133 (April 2017): 156–68. http://dx.doi.org/10.1016/j.sigpro.2016.10.024.

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41

Liu, Huabo, and Dongqing Wang. "Robust state estimation for wireless sensor networks with data-driven communication." International Journal of Robust and Nonlinear Control 27, no. 18 (2017): 4622–32. http://dx.doi.org/10.1002/rnc.3819.

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Li, Yingquan, Zhenwen Liang, Ibrahima N'Doye, Xiangliang Zhang, Mohamed-Slim Alouini, and Taous-Meriem Laleg-Kirati. "Data-driven state estimation for light-emitting diode underwater optical communication?" IFAC-PapersOnLine 56, no. 2 (2023): 9862–68. http://dx.doi.org/10.1016/j.ifacol.2023.10.408.

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43

Chioma Anthonia Okolo, Rawlings Chidi, Oloruntoba Babawarun, Jeremiah Olawumi Arowoogun, and Adekunle Oyeyemi Adeniyi. "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. http://dx.doi.org/10.30574/wjarr.2024.21.2.0591.

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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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44

Dolman, Andrew, Xiaojing Yu, and Arkady I. Gusev. "Data driven CRO benchmarking for biomarker analysis." Bioanalysis 12, no. 16 (2020): 1117–27. http://dx.doi.org/10.4155/bio-2020-0164.

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Outsourcing is a common strategy across the pharmaceutical industry and clinical research. CROs offer many choices for selecting outsourcing partners for bioanalytical and biomarker support. We aimed this paper to provide critical insights into CRO benchmarking and selection using a bioanalytical challenge approach performing fit-for-purpose ligand-binding assay. Bioanalytical challenge (method validation and sample analysis) offer Pharma sponsors a great opportunity to stress test CRO technical and scientific competency, quality systems and operational capabilities. In addition, CROs demonstr
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Bonavito, N. L., C. L. Gordon, R. Inguva, G. N. Serafino, and R. A. Barnes. "Maximum entropy-driven bayesian reasoning in data classification." Telematics and Informatics 11, no. 4 (1994): 295–308. http://dx.doi.org/10.1016/0736-5853(94)90021-3.

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Mahmud, Md Tareq, Uma Maheswar Reddy Nagirireddi, and Ke Wang. "Energy-efficient data-driven routing for hybrid interconnection networks: A machine learning approach." ITU Journal on Future and Evolving Technologies 6, no. 2 (2025): 104–18. https://doi.org/10.52953/wycw8288.

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Modern high-performance computing systems have undergone a significant transformation with the adoption of chiplet-based multi-die integration. This approach enables scalable improvements in computational and communication performance while reducing energy consumption and manufacturing costs. However, existing chiplet-based interconnection network designs face challenges in meeting the stringent latency and energy efficiency requirements of edge computing systems, particularly for multicast and broadcast communication. Silicon interposers impose high costs in inter-chiplet communication, prima
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Steedman, Robin, Helen Kennedy, and Rhianne Jones. "Complex ecologies of trust in data practices and data-driven systems." Information, Communication & Society 23, no. 6 (2020): 817–32. http://dx.doi.org/10.1080/1369118x.2020.1748090.

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48

Shi, Gaoyan. "Design and Implementation of IoT Data-Driven Intelligent Law Classroom Teaching System." Computational Intelligence and Neuroscience 2022 (March 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/8003909.

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In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent law classroom teaching system and implementing it in the actual teaching process. Firstly, the application requirements and main functions of the classroom interactive system are analysed and studied in depth; the overall design of the classroom interactive system based on wireless communication is carried out; and the classroom interactive system consisting of teacher’s receiver, wireless receiver, student’s handheld terminal, teacher’s receiver upper computer software, student’s handheld termi
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Carlson, Rolf, and Björn Granström. "Data-driven multimodal synthesis." Speech Communication 47, no. 1-2 (2005): 182–93. http://dx.doi.org/10.1016/j.specom.2005.02.015.

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Schaer, Alessandro, Oskar Helander, Francesco Buffa, et al. "Integrated Pedal System for Data Driven Rehabilitation." Sensors 21, no. 23 (2021): 8115. http://dx.doi.org/10.3390/s21238115.

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We present a system capable of providing visual feedback for ergometer training, allowing detailed analysis and gamification. The presented solution can easily upgrade any existing ergometer device. The system consists of a set of pedals with embedded sensors, readout electronics and wireless communication modules and a tablet device for interaction with the users, which can be mounted on any ergometer, transforming it into a full analytical assessment tool with interactive training capabilities. The methods to capture the forces and moments applied to the pedal, as well as the pedal’s angular
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