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Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management
With the improvement of the ability to acquire natural information, wireless sensor networks also need to transmit corresponding information in terms of collecting information. Wireless sensor nodes have great application prospects as a key component of wireless sensors. Therefore, different wireles...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167026/ https://www.ncbi.nlm.nih.gov/pubmed/35669659 http://dx.doi.org/10.1155/2022/2169521 |
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author | Li, Kefeng |
author_facet | Li, Kefeng |
author_sort | Li, Kefeng |
collection | PubMed |
description | With the improvement of the ability to acquire natural information, wireless sensor networks also need to transmit corresponding information in terms of collecting information. Wireless sensor nodes have great application prospects as a key component of wireless sensors. Therefore, different wireless sensors play an important decisive role in the operation of wireless network applications. With the continuous development of wireless sensor networks, existing wireless sensor network nodes exhibit limitations and shortcomings such as inflexible structure, low variability, and low versatility. Specifically, the learning and neural networks obtained by different artificial intelligence expert systems in computing technology are different. On the one hand, it can meet the needs of users for information systems to a certain extent, and on the other hand, it can also help accelerate the development of computer science. At present, the new generation of information technology industry is listed in the seven emerging strategic industries of the country. The new cloud computing technology has gradually expanded to important corporate governance capabilities in terms of information technology. The intelligent application of cloud computing technology replaces traditional enterprise management technology. Efficiency management and risk management can improve the quality and business capabilities of the entire enterprise, improve system applications according to the actual situation of the enterprise, improve system applications, and implement health and the sustainable development of the enterprise, thereby promoting the sustainable development of the computer technology industry. |
format | Online Article Text |
id | pubmed-9167026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91670262022-06-05 Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management Li, Kefeng Comput Intell Neurosci Research Article With the improvement of the ability to acquire natural information, wireless sensor networks also need to transmit corresponding information in terms of collecting information. Wireless sensor nodes have great application prospects as a key component of wireless sensors. Therefore, different wireless sensors play an important decisive role in the operation of wireless network applications. With the continuous development of wireless sensor networks, existing wireless sensor network nodes exhibit limitations and shortcomings such as inflexible structure, low variability, and low versatility. Specifically, the learning and neural networks obtained by different artificial intelligence expert systems in computing technology are different. On the one hand, it can meet the needs of users for information systems to a certain extent, and on the other hand, it can also help accelerate the development of computer science. At present, the new generation of information technology industry is listed in the seven emerging strategic industries of the country. The new cloud computing technology has gradually expanded to important corporate governance capabilities in terms of information technology. The intelligent application of cloud computing technology replaces traditional enterprise management technology. Efficiency management and risk management can improve the quality and business capabilities of the entire enterprise, improve system applications according to the actual situation of the enterprise, improve system applications, and implement health and the sustainable development of the enterprise, thereby promoting the sustainable development of the computer technology industry. Hindawi 2022-05-27 /pmc/articles/PMC9167026/ /pubmed/35669659 http://dx.doi.org/10.1155/2022/2169521 Text en Copyright © 2022 Kefeng Li. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Kefeng Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title | Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title_full | Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title_fullStr | Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title_full_unstemmed | Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title_short | Application of Artificial Intelligence System Based on Wireless Sensor Network in Enterprise Management |
title_sort | application of artificial intelligence system based on wireless sensor network in enterprise management |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167026/ https://www.ncbi.nlm.nih.gov/pubmed/35669659 http://dx.doi.org/10.1155/2022/2169521 |
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