DATA ANALYSIS BY FORMAL METHODS OF ESTIMATION OF INDEXES OF RATING CRITERION IN PROCESS OF ACCUMULATION OF DATA ABOUT WORKING OF THE TEACHING STAFF by Alexey E. Fedoseev

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Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins by Jimmy Garnier, Gemma Clucas, Jane Younger, Bilgecan Sen, Christophe Barbraud, Michelle LaRue, Alexander D. Fraser, Sara Labrousse, Stéphanie Jenouvrier

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Credit rating prediction with ESG data using data mining methods by Murat Doğan, Muhammed Aslam Chelery Komath, Özlem Sayilir

“…Considering the theoretical importance of corporate sustainability performance in the credit rating process, we aimed to develop a data mining model to predict the credit rating of companies, by incorporating ESG data to traditional accounting and financial measures with a sample of 6622 firms. …”
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Data Analysis of the Situation of the Residential Sector in Extremadura and Its Energy Classification by Marina A. Pavón-Tapia, Diego Carmona-Fernández, Dorotea Dimitrova-Angelova, Juan Félix González-González

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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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EquiRate: balanced rating injection approach for popularity bias mitigation in recommender systems by Mert Gulsoy, Emre Yalcin, Alper Bilge

“…In this study, we propose the EquiRate method as a pre-processing approach, addressing this problem by injecting synthetic ratings into less popular items to make the dataset regarding rating distribution more balanced. …”
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New parallel processing strategies in complex event processing systems with data streams by Fuyuan Xiao, Cheng Zhan, Hong Lai, Li Tao, Zhiguo Qu

“…Sensor network–based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. …”
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Evaluating fracture volume loss during production process by comparative analysis of initial and second flowback data by Chong Cao, Tamer Moussa, Hassan Dehghanpour

“…Abstract The fracture volume is gradually changed with the depletion of fracture pressure during the production process. However, there are few flowback models available so far that can estimate the fracture volume loss using pressure transient and rate transient data. …”
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Random-Rate Processes in Navigation in Bacteria, Archaea, and Desert Ants by Ken Cheng

“…I review evidence in bacteria, archaea, and one animal, the Australian desert ant Melophorus bagoti, that such interruptions to forward movement take place as random-rate or Poisson processes. At every moment in time, there is a constant probability of the event taking place. …”
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CODEC FOR THE PROCESSING AND TRANSFER OF PANORAMIC VIDEO DATA by К. А. Volkov, V. K. Konopelko

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An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…An evaluation carried out on the extraction and matching methods shows that the F1-score and precision rates are high. Overall, this study contributes to advancement of the field by providing a methodology for automating the collection and processing of online data sources, significantly improving the quality of data collection from online sources. …”
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An automated data collection process for constructing graph data relying on LLMs by Ngoc Ton Ho, Hoang Son Nguyen, Ngoc Minh Chau Ngueyen, Pham Cuong Nguyen

“…An evaluation carried out on the extraction and matching methods shows that the F1-score and precision rates are high. Overall, this study contributes to advancement of the field by providing a methodology for automating the collection and processing of online data sources, significantly improving the quality of data collection from online sources. …”
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An edge streaming data processing framework for autonomous driving by Hang Zhao, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, Jie Tang

“…It could forecast the variation of sensors data arrive rate, make streaming Batch Interval adjustment in advance and implement real-time streaming process by edge. …”
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Hadoop Processing Methods for Large Scale Video Data by Guangzhi Wu

“…However, there are still problems with low data processing efficiency and serious video damage in the current processing framework for large-scale video data. …”
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A Dynamic Processing System for Sensor Data in IoT by Minbo Li, Yanling Liu, Yuanfeng Cai

“…This paper proposes a dynamic sensor data processing (SDP) system to capture and process sensor data continuously on the basis of data streaming technology. …”
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Forecasting Economic Indicators by Applied Technologies of Data Processing by R. R. Veynberg, A. S. Skotchenko, A. A. Grigorev, A. B. Yaroshyk

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SETI@home: Data Acquisition and Front-end Processing by E. J. Korpela, D. P. Anderson, J. Cobb, M. Lebofsky, W. Liu, D. Werthimer

“…Most radio SETI projects analyze data using dedicated processing hardware. SETI@home uses a different approach: time-domain data is distributed over the internet to >10 ^5 volunteered home computers, which analyze it. …”
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OFDM-NOMA Error Rate Reduction Using Direct Data Detection by Tasneem Assaf, Arafat Al-Dweik, Anshul Pandey, Jean-Pierre Giacalone

“…The direct data detection (<inline-formula> <tex-math notation="LaTeX">$D^{3}$ </tex-math></inline-formula>) is proven to provide a significant error rate reduction for orthogonal multiple access (OMA) schemes because it does not directly depend on the estimated channel state information (CSI). …”
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Stability and process control of single-diamond grinding based on clustering of processing morphology data by Xinyu XU, Xiansong HE, Zhaojie CHEN, Jingying ZHANG, Linfeng YANG, Jin XIE

“…To this end, the data clustering analysis is used to analyze the machining morphology data of the workpiece, and the stable single-point grinding of the workpiece is achieved through process control. …”
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A Method of Performance Optimization for Distributed Stream Data Processing in Vehicle Data Peak Scenario by TANG Pengfei, HU Weimin, YANG Yongtao

“…Actual project application results show that this method can effectively solve the problem of performance bottleneck when the processing rate of streaming data cannot keep up with the reading rate in the data flood scenario.…”
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