BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX by A. Mikhajlova

“…The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. …”
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Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective by Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang

“…In addition, we further present major data mining tasks in the real-world application of biomedical domain. …”
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Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System by ZHANG Chong, HUANG Mengtao, AI Xin

“…The overall architecture of the platform is introduced, the design scheme of its three sub-platforms: data sharing, data analysis, and data application, is expounded. …”
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Integrated Model of Digital Construction and Operation of Rural Areas Guided by Value-added Data Elements by ZHOU Zhian, WANG Jiewei

“…The case study mainly takes the Funan Digital Rural Project and Guangxi Pig Data Authorization Operation Project as examples to deeply analyze the practical application of the DOD mode in the special debt of digital rural data assets and agricultural industry data authorization operation, and conducts in-depth analysis and discussion based on the current situation of the industry. …”
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Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis by Sergey Galushin, Pavel Kudinov

“…Integrated Deterministic-Probabilistic Safety Assessment (IDPSA) combines deterministic model of a nuclear power plant with a method for exploration of the uncertainty space. Huge amount of data is generated in the process of such exploration. …”
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A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

“…This study provides critical technical support for the application of HJ-2E data in agricultural flood monitoring and lays a foundation for future research and applications of S-band SAR.…”
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Granularity Decision of Microservice Splitting in View of Maintainability and Its Innovation Effect in Government Data Sharing by Yan Li, Chun-Zi Wang, Ying-chao Li, Jia Su

“…It can be determined that the fine-grained splitting of microservice framework can promote the reasonable sharing and effective integration of data. However, how to determine the granularity of microservice splitting is a multiparameter and multiobjective decision-making problem, which is also a key basic problem to be solved urgently both in academic research and application. …”
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Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data by Jianhong Guo, Zhansong Zhang, Guangshan Guo, Hang Xiao, Linqi Zhu, Chaomo Zhang, Xiao Tang, Xueqing Zhou, Yanan Zhang, Can Wang

“…With the development and application of geophysical logging technology, using geophysical logging data to predict the gas content of CBM reservoirs has been proven to be an effective and feasible solution. …”
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Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases by K. A. Urazova, G. E. Gorlachev, A. P. Chernyaev, A. V. Golanov

“…Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts.…”
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A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses by Andrea Tonelli, Marcus S. C. Blagrove, Maya Wardeh, Moreno Di Marco

“…Here, we propose a methodological framework to mitigate the effect of biases in host–pathogen data and account for uncertainty in models' predictions. …”
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Innovative SAR-optical data fusion for reflectance time series reconstruction in vegetation-covered regions by Shuaijun Liu, Hui Chen, Kai Tang, Yang Chen, Hongtao Shu, Tianyu Zan, Yong Xue, Jin Chen

“…Frequent cloud cover leads to gaps in remote sensing image time series, posing significant challenges for agriculture, grassland, and forest monitoring applications. This study proposes an innovative method to generate reflectance time series to address this issue, enhancing data reliability and application scope. …”
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The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

“…The current applications of performance-prediction methods, which are data-driven and related to material properties, structural properties, and performance under conditions of coupled multi-physical fields, are analyzed, and this analysis further extends to the data-driven methods in relation to their prediction of lattice structure functionality. …”
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Utilizing machine learning and digital twin technology for rock parameter estimation from drilling data by Abdullah Khan, Yiming Li, Muhammad Shoaib, Umair Sajjad, Fuxin Rui

“…The integration of the DT technology with numerical methods, including finite element analysis (FEA) and discrete element model (DEM), facilitates real-time monitoring, simulation, and optimization of rock parameters extracted from drilling, which can enhance accuracy and robustness even with limited empirical data, representing a notable solution. This review aims to provide a detailed understanding of the application and effectiveness of these methodologies for extracting rock parameters from drilling data.…”
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Securing Biomechanical Data Quality: A Comprehensive Evaluation of On-Board Accelerometers for Shock and Vibration Analysis by Corentin Bosio, Christophe Sauret, Patricia Thoreux, Delphine Chadefaux

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Study on the Effect of Fractional Derivative on the Hyperspectral Data of Soil Organic Matter Content in Arid Region by Cheng-Biao Fu, Hei-Gang Xiong, An-Hong Tian

“…Discussion on the application of fractional derivative algorithm in monitoring organic matter content in field soil is scarce. …”
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Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging by Zhi-Peng Li, Zhaozhen Du, De-Shuang Huang, Andrew E. Teschendorff

“…Abstract Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large omic datasets, in order to study biological aging at the molecular level. …”
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A Review of QoS-Driven Task Scheduling Algorithms and Their Impact on Data Quality in Process Management by Anupam Yadav, Ashish Sharma

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Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data by Maoyue Zhang

“…With reference to image-based big data, this research integrates the application of artificial intelligence facial expression recognition technology with the research on educational theory and applies information technology to the actual teaching process, in order to promote the optimization of the teaching process and improve the learning effect. …”
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A Novel Data-Driven Model for Dynamic Prediction and Optimization of Profile Control in Multilayer Reservoirs by Wei Liu, Hui Zhao, Xun Zhong, Guanglong Sheng, Meilong Fu, Kuiqian Ma

“…Most importantly, this method realizes the overall decision-making of profile control well selection, dynamic production prediction, and parameter optimization of profile control measures quickly and accurately by mainly using the daily production data of wells. The findings of this study can help for better understanding of the optimization design and application of on-site profile control schemes in large-scale oilfields.…”
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Based on Proteomics Data Revealing the Potential of Traditional Chinese Medicine in Treating Irritable Bowel Syndrome by Yizhan Wu, Fei Guo, Xiaoxia Xu, Ya Liu, Jiangwei Liu

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