Development of the algorithm of differential hemostatic diagnostics based on thromboelastometry data by D. G. Ratskevich, S. K. Dick, N. A. Shugaley

“…An algorithm for differential diagnosis of hemostasis disorders was developed based on thromboelastometry data, which served as the basis for the development of mobile applications to assist in the development of an algorithm for analysis and interpretation of thromboelastometry results.…”
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A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Social networks are inevitable parts of our daily life, where an unprecedented amount of complex data corresponding to a diverse range of applications are generated. …”
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Single-Channel Data Broadcasting under Small Waiting Latency by Hsiang-Fu Yu

“…This study thus presents a fundamentally different approach by focusing solely on a class of applications identified as latency tolerant applications. …”
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Generation of Typical Seawater Temperature Year and Its Application by Duanmu Lin, Xu fei

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Is Open Source the Future of AI? A Data-Driven Approach by Domen Vake, Bogdan Šinik, Jernej Vičič, Aleksandar Tošić

“…In this paper, we adopt a data-driven approach to examine the open-source development of LLMs. …”
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Demystifying the Use of Open-Access Data in Smart Heritage Implementations by Shiran Geng, Hing-Wah Chau, Elmira Jamei, Zora Vrcelj

“…This study employed a structured methodology that transitions from global best practices to local applications, linking these data resources to Smart Heritage applications and identifying opportunities for improving urban management, heritage curation, and the tourism experience within the case study precinct. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…This review presents a comprehensive analysis of the EMG signal processing pipeline tailored to exoskeleton applications, spanning signal acquisition, noise mitigation, data preprocessing, feature extraction, and control strategies. …”
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Topological Data Analysis in Natural Language Processing -- A Tutorial by Wlodek Zadrozny

“…TDA has been often considered an alternative to the conventional algorithms due to its capability to deal with highdimensional data. in different tasks including but not limited to clustering, This tutorial will focus on applications of topological data analysis to text data.…”
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On Predicting Marine Engine Measurements with Synthetic Data in Scarce Dataset by Sandi Baressi Šegota, Igor Poljak, Nikola Anđelić, Vedran Mrzljak

“…The scarcity of high-quality maritime datasets poses a significant challenge for machine learning (ML) applications in marine engineering, particularly in scenarios where real-world data collection is limited or impractical. …”
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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

“…Many IoT applications depend on complex computations performed on server-side infrastructure, necessitating efficient methods to reduce unnecessary data transmission. …”
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Open and Free Sentinel-2 Mowing Event Data for Austria by Petra Miletich, Marco Kirchmair, Janik Gregory Deutscher, Alexander Schippl, Manuela Hirschmugl

“…The accurate detection of mowing events is important in many applications, including in agricultural contexts such as yield and fodder production, as well as biodiversity assessments, habitat modeling, and protected area monitoring. …”
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Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics by Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

“…Despite the technological advances in this field, data analysis frameworks have stagnated. Current challenges include incomplete spatial monoomics data analysis pipeline, overly complex data analysis tasks, and few established spatial multiomics data analysis strategies. …”
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Marine data assimilation in the UK: the past, the present, and the vision for the future by J. Skákala, J. Skákala, D. Ford, K. Haines, K. Haines, A. Lawless, A. Lawless, M. J. Martin, P. Browne, M. Chrust, S. Ciavatta, A. Fowler, A. Fowler, D. Lea, M. Palmer, A. Rochner, A. Rochner, J. Waters, H. Zuo, D. S. Banerjee, D. S. Banerjee, M. Bell, D. M. Carneiro, Y. Chen, Y. Chen, S. Kay, S. Kay, D. Partridge, D. Partridge, M. Price, R. Renshaw, G. Shapiro, J. While

“…<p>In the last 2 decades, UK research institutes have led a wide range of developments in marine data assimilation (MDA), covering areas from operational applications in physics and biogeochemistry to fundamental theory. …”
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EXPLANATORY METHODS OF MARKETING DATA ANALYSIS – THEORETICAL AND METHODOLOGICAL CONSIDERATIONS by Rozalia GABOR

“…The paper shows some of these methods, respectively: variance analysis, covariance analysis, segmentation and discriminant analysis with the mention - for every method – of applicability area for marketing research.…”
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Data Mining Techniques in a Virtual Workshop for the Digitalization of Education by E. V. Timoschenko, A. F. Razhkov

“…A software module has been developed that forms the basis of a virtual laboratory workshop and consists of two computer applications that use the methods of intelligent analysis of biomedical data for an example of the possibility of predicting a disease based on the proposed symptoms of a patient and determining the likelihood of cardiovascular disease. …”
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Data Mining Techniques in a Virtual Workshop for the Digitalization of Education by E. V. Timoschenko, A. F. Razhkov

“…A software module has been developed that forms the basis of a virtual laboratory workshop and consists of two computer applications that use the methods of intelligent analysis of biomedical data for an example of the possibility of predicting a disease based on the proposed symptoms of a patient and determining the likelihood of cardiovascular disease. …”
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Perancangan Data Warehouse Untuk Menunjang Akreditasi Program Studi by Rokhmatul Insani, Ully Asfari, Rio Armando, I G AG Kom Agnam Melyantara

“…In addition, these colleges usually have several applications with various data storage to carry out the college's business processes. …”
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Extraterritorial application of the GDPR: promoting European values or power? by Oskar Josef Gstrein, Andrej Janko Zwitter

“…We conclude that extraterritorial application of EU data protection law currently adopts a power-based approach which does not promote European values sustainably. …”
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Data collection algorithm for mobile sink in delay-constrained network by Xian-ling LU, Ying-ying WANG

“…In real-time applications,the delay constraint limits the speed and the trajectory of mobile sink which in consequence restrains the communication time between the sensor nodes and the sink.So it is difficult to balance delay requirement with the data collecting efficiency.To address the problem above,an efficient data collection algorithm MSDC for sensor networks is proposed.It finds an optimal sink trajectory in the data buffering and uses the mobility of sink to improve the data collection performance in the limited time.The simulation results show that the algorithm can improve the network data collection capacity throughput,reduce the energy consumption and prolong the network lifetime.…”
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Analysis of Precipitation Totals Based on Radar and Rain Gauge Data by Karol Dzwonkowski, Ireneusz Winnicki, Sławomir Pietrek, Jolanta Siewert

“…Furthermore, all tested Z–R relationships demonstrated a strong linear correlation with rain gauge data, as indicated by a Pearson correlation coefficient of 0.98. …”
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