Hierarchical Factor Analysis Methodology for Intelligent Manufacturing by Hyun Sik Sim

“…This study presents a structural model for building a factory integration system to analyze big data at manufacturing sites and a hierarchical factor analysis methodology to increase product yield and quality in an intelligent manufacturing environment. …”
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Spatial-temporal analysis of the international trade network by Donghai Liu, Ziwen Yang, Kun Qin, Kai Li

“…Given the existing limitations, the development of more granular and reliable datasets utilizing big data technologies, as well as the construction of richer spatial-temporal scenarios, are considered as future research agendas.…”
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Kripto Varlıkların Denetimi: Blok Zincir Teknolojisinin Bağımsız Denetim Sürecine Etkisi by Özgecan Özer, İklim Elif Umut

“…Blok Zincir sayesinde veri işleme sürecinin daha hızlı ve doğru bir biçimde gerçekleşecek olması, “big data” üretimi ve veri depolama yöntemlerinin gelişmesi ile sonuçlanmaktadır. …”
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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.…”
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Research Progress of Silicon based Micro Ring Resonators by HOU Linjun, FENG Song, OUYANG Jie, HU Xiangjian, LI Haojie, GUO Shaokai, LIU Yong, WANG Di, CHEN Menglin, FENG Lulu, ZHOU Ran, WU Jianyang, ZENG Yuling, HE Xinyi

“…With the rapid growth of big data demand, electronic chips and their interconnection technologies cannot meet the requirements of high-speed data transmission and high energy efficiency in computing and storage systems. …”
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Performance Evaluation of NewSQL Databases in a Distributed Architecture by Zhiyao Zhang, Alan Megargel, Lingxiao Jiang

“…In the context of a geographically distributed architecture, our experiment results show that MySQL NDB Cluster is more suited for critical business transactions requiring ACID properties while TIBCO ActiveSpaces is better suited for use cases that require big data ingestion, such as IoT platforms.…”
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Challenges and Opportunities in Magnetospheric Space Weather Prediction by S. K. Morley

“…As numerical space weather prediction now becomes routine, and exascale computing is in the near future, we identify challenges relating to computational expense and big data, capturing and accounting for uncertainties, and specification of boundary conditions. …”
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Triple Hierarchical Variational Inequalities with Constraints of Mixed Equilibria, Variational Inequalities, Convex Minimization, and Hierarchical Fixed Point Problems by Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen

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Research on Spatial and Dynamic Planning Methods for Settlement Buildings Based on Data Mining by Lin Chen, Xiaolong Chen, Hongxin Wang, Lin Zhu, Lingyun Lang

“…Therefore, from the perspective of big data mining (BDM), this paper explores its application in architectural space and settlement protection of traditional settlements in Hainan and provides new ideas for the protection and renewal of traditional settlements in Hainan. …”
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Options Pricing by Monte Carlo Simulation, Binomial Tree and BMS Model: a comparative study by Ali Bendob, Naima Bentouir

“…Today, we are entering the field of Big Data and the explosion of information, which has become the main feature of science, impacts investors' decisions and their trading position, particularly in the financial markets. …”
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Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model. by Xiaoyuan Dong, Lining Wang, Sen Du, Bicheng Qian, Jiaxin Wang

“…This paper focuses on the core area of Chengguan District in Lanzhou City, utilizing multi-source big data including POI, OpenStreetMap, street view images, and built environment data. …”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…The research indicates that the use of machine learning models and data mining methods can reveal hidden patterns and relationships in big data, making them indispensable tools in the field of education analysis. …”
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Study on the Evaluation Standard of Construction Quality for Asphalt Pavement Based on the Intelligent Sensing Aggregate by Chen Zhang, Yuxin Zheng

“…The traditional evaluation method of construction quality for asphalt pavement has gradually lagged behind the pace of development of the road industry. Big data, Internet of Things (IoT), and intelligent sensing technology have been reflected in the field of road engineering, but these technologies also have technical shortcomings in terms of applicability, durability, real-time performance, and portability in practice. …”
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Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data by A. V. Bogdanova, Yu. K. Aleksandrova, V. V. Orlova, E. Yu. Petrov, V. F. Glazova

“…The article presents the results of the analysis of users’ sentiment in social networks, performed using big data tools. The research was aimed at developing the methodology, which enables to analyze the content of social networks, assess students’ attitude to the transition to online learning in conditions of COVID-19 pandemic, identify dynamics and main trends in student satisfaction with the quality of educational process. …”
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A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model by Meng He, Hui Wang, Myo Thwin

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Research on Intelligent Monitoring and Protection Equipment of Vital Signs of Underground Personnel in Coal Mines: Review by Yuntao Liang, Yingjie Liu, Changjia Lu, Dawei Cui, Jinghu Yang, Rui Zhou

“…For example, through big data and artificial intelligence technology, vital signs data can be compared with historical data, individual health trends and potential risks can be analyzed, and we can provide personalized health management programs for miners. …”
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A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things by Hang Zhou, Shi-Jun Yi, Ya-Fei Liu, Yong-Quan Hu, Yong Xiang

“…Consequently, for the life prediction of drive system, it is necessary to consider the problems of multi-information fusion of big data, quantification of time-varying dynamic loads, and analysis of multiple-damage coupling. …”
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The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation by Sarah Shtaierman, Catarina Fontes, Christoph Lütge

“…Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. …”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Our advocacy is for increased studies from the domains of geography, earth observation, and big data. Simultaneously, we encourage advancements in existing ML algorithms to enhance the accurate real-time detection of planned and onset terrorism disasters.…”
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APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ACADEMIC LIBRARIES by Adedeji Daniel GBADEBO

“…By making sure that enormous amounts of data are arranged, accessible, and useful, they have also made it possible for libraries to handle the challenges posed by big data. Library personnel need to develop interdisciplinary skills in fields like data analytics, ML, and digital literacy to fully benefit from these breakthroughs. …”
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