RETRACTED ARTICLE: Models in digital business and economic forecasting based on big data IoT data visualization technology

Quan, Xin Xin; Yang, Jian Fei; Luo, Zengrong

doi:10.1007/s00779-021-01603-7

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…It can systematically manage scattered data, facilitate people's real life, and improve management efficiency. Starting from the demand relationship, demonstrate the data and digital infrastructure, introduce the characteristics of digital economy, and analyze the prospect of digital economy in the future from many aspects [11].…”

Section: Discussionmentioning

confidence: 99%

Analysis and Discussion of Digital Economy Management Data under the Background of Big Data

Chun

Luo

et al. 2022

Mobile Information Systems

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The aim of this study is to discuss how to effectively use big data in financial analysis and apply big data to various management decisions to effectively improve its efficiency. In order to study the application of big data in the field of digital economy, the study problem is data management that improves the needs of business model to a certain extent and responds to the pace of rapid development of science and technology and the transformation of business model in special times, so as to promote economic development. The methods used in this study are based on the information extracted from the software system log; this study introduces machine learning algorithms such as spatial convolution and fuzzy multicolumn convolution, deduces the interaction between visitors and software according to the system software access log, wavelet algorithm, and denoising algorithm, deduces the data value index of the secondary market, constructs the simulation software under MATLAB, and compares it with the previous system, by improving the prediction sensitivity of interaction and the prediction coupling of data value. The results of this study proved that the system improves the efficiency of data management.

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Section: Discussionmentioning

confidence: 99%

Analysis and Discussion of Digital Economy Management Data under the Background of Big Data

Chun

Luo

et al. 2022

Mobile Information Systems

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“…Now China's scientific and technological level has entered a stage of rapid development. The changes of the times have led to the transformation of economic model [11]. In recent years, the traditional economic model has gradually declined, and the changes of market environment and business mode have promoted the reform of economic system.…”

Section: Discussionmentioning

confidence: 99%

Research on Data Analysis of Digital Economic Management under the Background of Big Data

Huang

2022

Wireless Communications and Mobile Computing

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In order to study the application of big data in the field of digital economy, data management improves the needs of business model to a certain extent and responds to the pace of rapid development of science and technology and the transformation of business model in special times, so as to promote economic development. Based on the information extracted from the software system log, this study introduces machine learning algorithms such as spatial convolution and fuzzy multicolumn convolution, deduces the interaction between visitors and software according to the system software access log, wavelet algorithm, and denoising algorithm, deduces the data value index of the secondary market, constructs the simulation software under Matlab, and compares it with the previous system, By improving the prediction sensitivity of interaction and the prediction coupling of data value, it is confirmed that the system improves the efficiency of data management, so as to achieve the purpose of digital economic management and promote economic development and progress.

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“…This approach mainly includes text preprocessing, text word segmentation, text mining, semantic analysis, etc. Data visualization technology [34] refers to the theory, methodology and technology of using computer graphics and image processing technology to convert data into graphics or images, and to interactively display and process them.…”

Section: Big Data Analysismentioning

confidence: 99%

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Qian

et al. 2021

CURR MED SCI

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The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-standing points and challenges in the medical field have also prompted diverse research teams to continue to explore AI in depth. With the development of advanced technologies such as the Internet of Things (IoT), cloud computing, big data, and 5G mobile networks, AI technology has been more widely adopted in the medical field. In addition, the in-depth integration of AI and IoT technology enables the gradual improvement of medical diagnosis and treatment capabilities so as to provide services to the public in a more effective way. In this work, we examine the technical basis of IoT, cloud computing, big data analysis and machine learning involved in clinical medicine, combined with concepts of specific algorithms such as activity recognition, behavior recognition, anomaly detection, assistant decision-making system, to describe the scenario-based applications of remote diagnosis and treatment collaboration, neonatal intensive care unit, cardiology intensive care unit, emergency first aid, venous thromboembolism, monitoring nursing, image-assisted diagnosis, etc. We also systematically summarize the application of AI and IoT in clinical medicine, analyze the main challenges thereof, and comment on the trends and future developments in this field.

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RETRACTED ARTICLE: Models in digital business and economic forecasting based on big data IoT data visualization technology

Cited by 6 publications

References 13 publications

Analysis and Discussion of Digital Economy Management Data under the Background of Big Data

Analysis and Discussion of Digital Economy Management Data under the Background of Big Data

Research on Data Analysis of Digital Economic Management under the Background of Big Data

Application of AI and IoT in Clinical Medicine: Summary and Challenges

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