Architecture Characteristics and Technical Trends of UHF RFID Temperature Sensor Chip by Guofeng Zhang, Dehua Wu, Jingdun Jia, Wanlin Gao, Qiang Cai, Wan’ang Xiao, Lina Yu, Sha Tao, Qi Chu

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Experience in applying large language models to analyse sociological data obtained as a result of interviews on students’ perception of entrepreneurial activity by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

“…Modern society is experiencing a digital transformation of various spheres associated with the development of artificial intelligence and big data. The introduction of large language models (hereinafter referred to as LLM) into scientific research opens new opportunities, but also raises a number of questions, which makes it relevant to study the peculiarities of their application for qualitative data analysis in sociology. …”
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Neural network as a mirror of social attitudes: analysis of distortions in generative images by A. G. Tertyshnikova, U. O. Pavlova, M. D. Starovoytova

“…The aim of the research – approbation of generative artificial intelligence (hereinafter referred to as AI) as a method of sociological research of social stereotypes contained in big data. To realise this goal, the essence of AI, the legal framework of application and the spread to date are initially considered. …”
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RDF Knowledge Graphs Designed with Axiomatic Methodology to Enhance Industry 4.0 by Fernando Rolli, Chiara Parretti, Riccardo Barbieri, Alessandro Polidoro, Bianca Bindi

“…The goal of the presented methodology is to address the five critical aspects of Big Data (volume, velocity, variety, value, and veracity) by preordering the knowledge graph according to the information needs of business decision makers, thereby optimizing the use of the immense wealth of information made available by the Web in design.…”
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Research on the Hierarchical Spatial Structure of the Urban Agglomeration of the Yellow River Ji-Shaped Bend by Fang Wang, Mengyao Guo, Xi Guo, Fangqu Niu

“…In the context of the coordinated development of the urban agglomeration of the Yellow River Ji-shaped bend (UAYB), this study identifies the hierarchical spatial structure of the UAYB through a combination of Baidu migration big data and traditional data. The following conclusions can be drawn. (1) The cities with the strongest regional comprehensive power are Ordos, Taiyuan, Hohhot, Yinchuan, and Yulin, which cause the UAYB to present a significant “center-periphery” spatial pattern. (2) The biggest population flows mostly occur between cities in the same province, while interprovincial population flows mainly exist between cities with the strongest comprehensive power. (3) The hierarchical spatial structure of the UAYB forms a multitree structure, with Ordos as the core. (4) The attractiveness of the UAYB is very weak, being only slightly attractive to individual surrounding provinces, while the population outflow index to economically developed areas is high. …”
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Evolution of tick vaccinology by José de la Fuente, Srikant Ghosh, Ala Tabor

“…Future directions will advance in these areas together with other novel technologies such as multiomics, AI and Big Data, mRNA vaccines, microbiota-driven probiotics and vaccines, and combination of vaccines with other interventions in collaboration with regions with high incidence of tick infestations and tick-borne diseases for a personalized medicine approach.…”
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A Dual-Hierarchy Synchronization Method for Signal Preambles with High Detection Rates for Satellite-Based ADS-B Receivers with Different Sensitivities by Xinhui Jian, Xuejun Zhang, Jianxiang Ma, Weidong Zhang

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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

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Requirements for developing the roles of information specialists in public libraries in light of the transformation of the knowledge economy to achieve the goals of sustainable dev... by عاليه الهيف

“…There is also a need for more interest in offering non-stereotypical and continuous training related to “advanced programming skills”, “database and management skills”, “the ability to deal with artificial intelligence techniques ,use modern technologies , analyzing and producing systems for dealing with big data". The study recommended raising awareness of sustainable development for library workers so that libraries begin to be effective towards achieving the goals, while clarifying the role of libraries, including public libraries, in the sustainable development plan and directing the attention of those responsible for libraries to the pivotal role it plays. …”
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Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation by Qingwei Tong, Leiguang Wang, Qinling Dai, Chen Zheng, Fangrong Zhou

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Role of artificial intelligence in smart grid – a mini review by M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti

“…The development of appropriate infrastructure resources, including big data, cloud computing, and other collaboration platforms, must be enhanced for this type of operation. …”
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An Active Learning Approach with Uncertainty, Representativeness, and Diversity by Tianxu He, Shukui Zhang, Jie Xin, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Chunhua Li, Zhiming Cui

“…Big data from the Internet of Things may create big challenge for data classification. …”
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A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. …”
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Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference by Qiang Guo, Fenghe Li, Hengwen Liu, Jin Guo

“…This paper proposes a comprehensive diagnostic framework for detecting anomalies, conducting causal analysis, and tracing root causes of energy consumption in medium and heavy plate manufacturing, integrating process mechanisms, expert knowledge, and industrial big data. First, a two-stage anomaly detection method based on box plot analysis is developed to identify energy consumption irregularities. …”
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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

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Impacts and challenges of industry 4.0 in manufacturing: a systematic literature review by Tamires Fernanda Barbosa Nunes, Roselaine Ruviaro Zanini, Ariane Ferreira Porto Rosa, Lizandra Garcia Lupi Vergara

“…The digital transformation proposed by Industry 4.0 is driven by intelligent manufacturing processes, digitalization, flexibility, integration of systems, and real-time analysis of big data generating intelligent processes and services oriented to customer needs. …”
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Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks by Dengao Li, Xiaoli Ma, Jumin Zhao, Fanming Wu

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Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association by Jihwan Ha

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Advancing the development of real-world data for healthcare research in China: challenges and opportunities by Jun Zhang, Eric Wu, Jia Zhong, Honghao Fang, Larry Liu, Jipan Xie

“…A workshop with 30 representatives from healthcare research agencies, technology companies focused on healthcare big data and pharmaceutical companies was held in December 2020 to identify strategies to overcome the barriers associated with the usability and quality of RWD in China. …”
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Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

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