Locomotive Remote Data Acquisition Based on FIP by QU Changping

“…Data is encapsulated after collection, and transmitted remotely in real time according to different transmission strategies. …”
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Big data security features and operation practices by Zhiyong LIU, Zhongjiang HE, Yilong RUAN, Junfeng SHAN, Chao ZHANG

“…With the continuous refinement of data types, user roles and application requirements, as well as the complex data storage and flow scenarios of big data, the requirement of big data security is higher and higher.Starting from the security characteristics and operation practice of big data, the security characteristics and technology development trend of big data were analyzed, the construction and operation practice of China Telecom’s big data security defense system with “data and people” as the core was systematically summarized.Some thoughts and prospects for the introduction of new technologies were also raised such as blockchain, federated learning, artificial intelligence and zero trust in data security circulation, data security risk monitoring and data access control.…”
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Introducing CongressData and Correlates of State Policy by Matt Grossmann, Caleb Lucas, Benjamin Yoel

“…We describe our methodologies for data collection, standardization, and integration, and present tools that we designed to simplify the use of the datasets and their application in research. …”
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Unified System for Processing Non-Personalized Data by A. V. Brezhnev, E. Z. Gukov

“…The objective of the study is to analyze relevant materials for the purpose of the study, to determine the need for this system, to determine possible areas of application of the system, to determine the system sources and data on which the system can be based. …”
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Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

“…These new methods offer interesting possibilities for processing, classifying and interpreting eye-tracking data. The present paper exemplifies the application of topological arguments to improve the evaluation of eye-tracking data. …”
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Neurorights and Neural Data Towards Legal Protection by Francesco Di Tano

“…The rapid development of neurotechnologies – capable of detecting, interpreting, and influencing brain activity – raises new legal challenges, particularly in the realm of personal data protection. Technologies such as brain-computer interfaces, electroencephalograms, and brain stimulation are expanding beyond the clinical context, finding application in work, education, entertainment, and the military. …”
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Survey of differentially private methods for trajectory data by SUN Xinyue, ZHANG Weizhe, HE Hui, YANG Renyu

“…These privacy concerns led to reluctance in sharing trajectory data, hindering the development of location-based services and applications. …”
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Exploring Diffusion Models for Oral Health Applications: A Conceptual Review by Mohsen Tabejamaat, Amira Soliman

“…We also discuss how diffusion models go beyond data generation to support multiple tasks, a critical requirement for practical machine-learning applications in the medical domain. …”
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Broken Stick Model for Irregular Longitudinal Data by Stef van Buuren

“… Many longitudinal studies collect data that have irregular observation times, often requiring the application of linear mixed models with time-varying outcomes. …”
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The Canadian Geospatial Data Infrastructure and health mapping by Sheng Gao, Darka Mioc, Xiaolun Yi, François Anton, Eddie Oldfield, David J. Coleman

“…The use of the CGDI in health applications has a great potential in supporting effective and secure health data sharing and integration. …”
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Partial Least Squares Regression for Binary Data by Laura Vicente-Gonzalez, Elisa Frutos-Bernal, Jose Luis Vicente-Villardon

“…However, their application to binary data is limited. This study introduces Binary Partial Least Squares Regression (BPLSR), a novel extension of the PLSR methodology designed specifically for scenarios involving binary predictors and responses. …”
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Intelligent data collection algorithm research for WSNs by Zhong Weihe

“…The final experimental results indicated that the dynamic data collection algorithm only entered a significant decay period after 2,000 rounds of data collection, indicating that under the same conditions, the dynamic data collection algorithm had better data transmission performance. …”
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Data Deduplication in Wireless Multimedia Monitoring Network by Yitao Yang, Xiaolin Qin, Guozi Sun, Yong Xu, Zhongxue Yang, Zhiyue Zu

“…This kind of sensor is called wireless multimedia sensor (WMS) because it can capture and process multimedia data such as image, sound, and video. The visual monitoring network is a typical scenario of WMS application. …”
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Artificial Intelligence for data modeling in triboelectric nanogenerators by Chenjia Li, Ali Matin Nazar

“…The review also addresses key challenges such as data variability, environmental robustness, and algorithmic scalability, and future directions in hybrid energy systems, adaptive algorithms, and cross-disciplinary collaboration for sustainable, intelligent sensing technologies.…”
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Research Data Management and Crowdsourcing Personal Histories by Catherine Conisbee

“…Reflecting on the importance of a caring approach to data stewardship, the paper examines how the ethos of the Their Finest Hour project, and its commitment to honouring contributors and their families, led organically to an alignment with CARE (Collective Benefit, Authority to Control, Responsibility, Ethics) principles, originally developed for Indigenous data governance. …”
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Building Information Modeling and Big Data in Sustainable Building Management: Research Developments and Thematic Trends via Data Visualization Analysis by Zhen Liu, Langyue Deng, Fenghong Wang, Wei Xiong, Tzuhui Wu, Peter Demian, Mohamed Osmani

“…However, these studies have a monotonous perspective in identifying the development of BIM and big data applications in SBM. Therefore, this paper aims to explore BIM and big data from various perspectives in the field of SBM to identify the aspects where additional efforts are required and provide insights into future directions, and it adopts a mixed method of quantitative and qualitative analysis, including bibliometric analysis and knowledge mapping, providing a macro-overview of the research status and development trends of BIM and big data integration for SBM from multiple bibliometric perspectives. …”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…The most advanced of the concepts described (viz., irregular poly-cyclostationarity) is illustrated with an application of the associated algorithms to science data consisting of time series of Sunspot numbers containing approximately 75,000 daily measurements representing a period of about 200 years. …”
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Cultural Science Meets Cultural Data Analytics by Ibrus Indrek, Schich Maximilian, Tamm Marek

“…Indeed, it has already found practical application in a variety of ‘post-DH’ collaborations in ‘Cultural Data Analytics’, often with the aim to explore the dynamics of meaning-making practices by computational means and by looking at a spectrum of materials (textual, sonic, visual, multimodal, etc.) both regarding the longue durée and in real-time applications, if not anticipating the future.…”
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Engineering Construction Model and Promotion of Data Space by Mingjun Guo, Shiyang Yu, Yue Dou, Qiaomin Guo, Chaofu Yu, Zishuo Li, Yidi Huang

“…Furthermore, the following suggestions are proposed: improving the policy support mechanism, strengthening key technologies, deepening the development of application systems, and launching pilot demonstration projects, thus to provide references for China to construct an internationally advanced data space with Chinese characteristics.…”
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Technology System and Engineering Practice of Data Field by Manqing Wu, Richang Hong, Zuocheng Wang, Chuanwen Lin, Yunjie Ma, Jiafeng Guo, Le Wu, Ju Fan, Lan Zhang, Xiang Wang

“…Moreover, the study analyzes engineering practice cases of data fields in health scenarios, proposes innovative application scenarios and engineering practice paradigms for data fields, and looks forward to the prospects in the fundamental theory, key technologies, engineering practices, and ecological construction of data fields, aiming to provide theoretical and practice guidance for data field development and support the modernization of the digital economy and social governance.…”
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