Application of MEMS technology in anti-electromagnetic radiation maternity clothes: state of the art and future perspectives by Ye-Cheng Luo, Qingmei Bai, Piotr Skrzypacz

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Alga-based mathematical model of a life support system closed in oxygen and carbon dioxide by D. A. Semyonov, A. G. Degermendzhi

“…At the same time, modern works place emphasis on empirical modeling methods, in particular, on the analysis of big data, and the work does not go beyond the task of managing a monoculture of microalgae. …”
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Blockchain-IoT Healthcare Applications and Trends: A Review by Wafaa A. N. A. Al-Nbhany, Ammar T. Zahary, Asma A. Al-Shargabi

“…The study in this paper includes 14 blockchain IOT healthcare applications: remote patient monitoring, patient tracking, disease prediction, tracking COVID-19, image retrieval, security of medical records, smart telemedicine, securing the Internet of Medical Things, big data, blockchain and sensors, accurate medical decisions, health monitoring, tracking soldiers, and solar energy.…”
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Visual Analysis of E-Commerce User Behavior Based on Log Mining by Tingzhong Wang, Nanjie Li, Hailong Wang, Junhong Xian, Jiayi Guo

“…Finally, based on the big data framework and Bi tools, a data warehouse system is designed and implemented, which could store and analyze massive data and visually display the results. …”
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A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learni... by Mazin A. M. Al Janabi

“…In addition, they can be applied to artificial intelligence and machine learning for the policymaking process, reinforcement machine learning techniques for the Internet of Things (IoT) data analytics, expert systems in finance, FinTech, and within big data ecosystems.…”
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Optimal Topology of Multilayer Urban Traffic Networks by Rui Ding, Jian Yin, Peng Dai, Lu Jiao, Rong Li, Tongfei Li, Jianjun Wu

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Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model by Wei Pan, Yukuan Wang, Xinlian Xie, Meng Li, Jinru Fan

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A sector fast encryption algorithm for color images based on one-dimensional composite sinusoidal chaos map. by Ye Tao, Wenhua Cui, Shanshan Wang, Yayun Wang

“…The main purpose of this algorithm is to improve the encryption and decryption speed of color images and improve the efficiency of image encryption in the big data era. First, four basic chaos maps are combined in pairs and added with sine operations. …”
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Evaluating Bicycling Environments with Trajectory Data on Shared Bikes: A Case Study of Beijing by Ying Hu, Chunfu Shao, Shuling Wang, Hairui Sun, Pengfei Sun, Zhongfu Chu

“…However, the current evaluation of riding environment is mainly subjective, lacking big data (e.g., shared bicycle trajectory data) as a data-driven objective evaluation system. …”
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Comparison of the Visibility Grading Forecast Method Based on Meteorological Factors and Environmental Factors by Yanyan Long, Fei Li, Wenjun Sang

“…The main visibility forecast factors were identified with the support of data from routine meteorological observations from the Mianyang Airport and the Mianyang Environmental Monitoring Station from 2015 to 2018, and a visibility grading forecast model was established and tested by dint of the multiple linear regression and the KNN algorithm based on big data mining technology, and the variation characteristics of visibility in winter at the Mianyang Airport were studied. …”
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Uncertainty and Sensitivity Analysis of Significant Parameters for Superlarge Diameter Shield Excavation by Elton J. Chen, Yang-Yang Chen, Lin-Chun Wei, Han-Bin Luo

“…In this paper, we (i) utilize a BIM-based big data platform (BIM-BDP) to manage the essential construction data of tunnel project in digital format; (ii) adopt the global sensitivity analysis (SA) to recognize significant parameters for shield excavation based on polynomial chaos expansion (PCE)–extended Fourier amplitude sensitivity test (eFAST) model; and (iii) employ the uncertainty analysis (UA) to discover the correlation between significant parameters from the data of the BIM-BDP. …”
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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

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Enhancing Stock Portfolio Selection with Trapezoidal Bipolar Fuzzy VIKOR Technique with Boruta-GA Hybrid Optimization Model: A Multicriteria Decision-Making Approach by Sunil Kumar Sharma

“…Financial decision-making can be very hard for investors who have access to big data due to the overwhelming amount of information they are required to interpret. …”
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Hotel websites characterisation framework for consumer’s information needs by Célia M.Q. Ramos, Marisol B. Correia, João M.F. Rodrigues, Carlos M.R. Sousa, Pedro M. Cascada

“…In the near future by using Big Data it is expected that hotel websites will be dynamic, they will adapt themselves on-the-fly, showing personalized information to each consumer. …”
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Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach by Thanapong Champahom, Sajjakaj Jomnonkwao, Vuttichai Chatpattananan, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha

“…Classification and regression tree (CART) was used to analyze the complicated relationship of variables of big data. The analysis was conducted by creating two models: (1) a model which indicates the causes of rear-end crashes by applying Quasi-Induced Exposure to at-fault driver characteristics; (2) a determined model which studies fatal crashes. …”
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Digital maturity of business: Technological gap and limitations of digital transformation by I. S. Prokhorova, P. M. Gureev

“…The increment of knowledge consists in determining the technological principle of digital business transformation at the global level – this is a mobile device operating on the principles of machine-to-machine interaction M2M with big data IoT (Internet of things) based on 5G speeds and Wi-Fi 6 communication standards, as well as identifying a system of indicators for monitoring the technological basis for managing the “digital maturity” of a business.…”
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Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

“…Under these conditions, the expansion of the mathematical apparatus and the more active introduction of information technologies (including in the area of Big Data analysis and the construction of predictive models based on artificial neural networks) can be viable. …”
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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…Due to the development of computing technology and different machine learning models, big data sets have gained importance in animal science as well as in many disciplines. …”
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Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology by K. C. Okafor, Ifeyinwa E. Achumba, Gloria A. Chukwudebe, Gordon C. Ononiwu

“…Besides, the scalability requirements found in the current IoT data processing (in the cloud) can hardly be used for applications such as assisted living systems, Big Data analytic solutions, and smart embedded applications. …”
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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

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