An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population.…”
Get full text

A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future... by Shakila Shafiq, Md. Sazzadur Rahman, Shamim Ahmed Shaon, Imtiaz Mahmud, A. S. M. Sanwar Hosen

Get full text

A Networked Intelligent Elderly Care Model Based on Nursing Robots to Achieve Healthy Aging by Wenting Ji, Ruzhen Luo, Yumei Sun, Maiping Yang, Yueheng Liu, Hua Chen, Dongmei Lin, Ziyi Su, Guangming Tao, Diansheng Chen, Hongyu Sun

“…Given this background, a networked intelligent elderly care model for nursing robots, which integrates technologies such as big data, artificial intelligence, the Internet of Things, and nursing robotics, is proposed. …”
Get full text

From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases by Frank Othengrafen, Lars Sievers, Eva Reinecke

“…The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. …”
Get full text

The application of grey statistical method and analytic hierarchy process in the evaluation of community park rehabilitation landscapes by Qingtao Cheng, Qiuping Li

Get full text

Spatiotemporal characteristics of ICT use among chinese older adults by Mao Yaqian, Kubo Tomoko

“…In the landscape of smart city development, older adults in China have often been overlooked due to their limited digital presence and the reliance on big data by city planners. This study addresses this gap by employing a time-geographic diary survey and semi-structured interviews to explore the spatiotemporal dynamics of ICT use among older adults during COVID-19 in Chinese urban context. …”
Get full text

Research status and development trends of dust concentration monitoring technology by ZHANG Yongqi, WANG Jie, ZHOU Yuhao, YANG Junni, DENG Bin

“…It is proposed that future efforts should be dedicated to integrating dust concentration monitoring technologies with emerging technologies such as machine learning, deep learning, computer vision, and big data analysis and prediction. This integration will facilitate the integration and application of intelligent detection technologies with dust-related occupational hazard monitoring and early warning systems and provide reference for intelligent and automated dust control in future industrial scenarios.…”
Get full text

Experience in applying large language models to analyse quantitative sociological data by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

“…The article also discusses the role of the LLM in empowering the sociological research, especially in the areas of analysing big data and discovering hidden patterns. Finally, the authors suggest paths for future research in the application of the LLM in sociology, including the development of new methods and tools for integrating the LLM into the sociological research.…”
Get full text

Procedimiento para implementar mantenimiento predictivo basado en la Industria 4.0 by Naiviv Tió Arencibia, Caridad Anías Calderón, Fidel Hernández Montero

“…Con la integración de las tecnologías de la Industria 4.0 (Internet de las cosas, computación en la nube, computación en la niebla, Big Data, inteligencia artificial, ciberseguridad y sistemas ciberfísicos, realidad virtual, entre otras) al mantenimiento predictivo, se logra que este sea más eficiente, consuma menos tiempo y permita tomar mejores decisiones, sin embargo, llevar a cabo dicha integración puede ser complejo. …”
Get full text

Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Recently, applications of Internet of Things create enormous volumes of data, which are available for classification and prediction. Classification of big data needs an effective and efficient metaheuristic search algorithm to find the optimal feature subset. …”
Get full text

NEED FOR SMART MOBILITY AND CHALLENGES AND OPPORTUNITIES FOR TRANSITIONING TOWARD IT IN CAR-DEPENDENT COUNTRIES: INSIGHTS FROM LITERATURE by Talal ALMAGHLOUTH, Uneb GAZDER, Osama ABUDAYYEH

“…Previous research efforts indicated that car-dependent cities have experienced several challenges in their transition to smart mobility, including inadequate infrastructure, low acceptance of new technological solutions, inadequate knowledge and framework for big data, financial constraints, data quality management, integration of data from different sources, privacy issues, and development of appropriate of government policies. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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.…”
Get full text

Bibliometric and Visualization Analysis of Research Hotspots in Field of Smart Water Conservancy by WANG Zhankui, PAN Wuhan, WU Jianxing, ZHANG Jianchang, TAN Yu, WU Xuefei, WEI Guoqing

“…Currently, the China Institute of Water Resources and Hydropower Research is the most active and extensive scientific research organization studying smart water conservancy. Digital twins, big data, and data floors are deeply studied in smart water conservancy construction. …”
Get full text

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

Get full text

Technology and practice of intelligent governance for financial data security by Peng HOU, Zhixin LI, Fei ZHANG, Xu SUN, Dan CHEN, Yihao CUI, Hanbing ZHANG, Yinan JIN, Hongfeng CHAI

“…In the “14th Five-Year Plan” era, the digitization of the financial industry has entered a phase of deepening and high-quality development.Strengthening Financial Data Security Governance (FDSG) and protecting financial data security have become an objective need and essential requirements for developing national economic security.FDSG utilizes data governance measures as a fundamental tool with a focus on sensitive data to ensure the comprehensive security of the entire lifecycle of financial data.It aims to promote data circulation among financial institutions, activate data value, and facilitate market-oriented allocation of financial data elements.FDSG is increasingly intertwined with big data, artificial intelligence, cloud computing, and blockchain technologies, transforming traditional data security governance into intelligent governance and accelerating the evolution of FDSG towards automation, intelligence, efficiency, and precision.FDSG’s essence, scope, and governance framework were introduced, and the core concepts and critical supporting technologies for the intellectual development of FDSG were elaborated, outlining the roadmap for intelligent governance.With consideration of FDSG’s demands and characteristics of intelligent technologies, vital directions for the practical application of intelligent technologies in FDSG were outlined, including data classification, data traceability, content control, privacy protection, and data twinning.Examples of current intelligent governance practices in banking, securities, and insurance industries were provided.Policy recommendations were proposed in the paper to promote the standardized and intelligent development of FDSG in China’s new era, aiming to foster the sustainable development of financial institutions and industries and ensure a healthy and secure environment for the future.…”
Get full text