Retracted Article: A wireless network remote monitoring method driven by artificial intelligence

Zhao, Lei; Huang, Yu

doi:10.1080/1206212x.2019.1710664

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…(i) Zhao and Yu [6]: a thorough study of the wireless network's design and modelling is carried out, and it serves as the basis for future theoretical innovation. In wireless network remote monitoring technology, the traditional Gauss mixture model method is utilised for monitoring anoma-lous targets and object movements to address the problems of target loss and confusion, and it is tracked successfully.…”

Section: Related Workmentioning

confidence: 99%

Research on the Hierarchical Teaching Method of University English Based on Artificial Intelligence Wireless Network

Zhang

2022

Wireless Communications and Mobile Computing

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University English is one of the basic core courses for all university students. The course involves many difficult concepts and grammatical structures, so it is difficult to most students. The starting point in any teaching program is to determine whether teaching is needed to specify what that teaching should accomplish. So the students’ need is of vital importance to the success of university English teaching. Traditional university English teaching does not take into account students’ individual learning abilities and feedback, which would cause students to not grasp enough the key knowledge, and then make students lose their interest in English. The development of artificial intelligence technology is becoming more and more mature, especially in the application of English teaching, which promotes the reform, development, and modernization of English teaching. Hence, in this paper, we propose a hierarchical teaching method for the university English teaching platform and employ artificial intelligence to find the needs of university students and know about the mastering knowledge of students. Initially, the dataset is preprocessed using normalization, and then, the feature extraction is performed using principal component analysis (PCA). For classification of the data, we employ the K -means clustering algorithm. To enhance the evaluation system, the whale optimization algorithm (WOA) is used. The performance of the proposed system is analyzed, and it is shown that the average score of students who used the proposed platform to learn university English is far higher than those students who did not use the platform. Hence, the platform can improve students’ autonomous learning and English abilities.

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Section: Related Workmentioning

confidence: 99%

Research on the Hierarchical Teaching Method of University English Based on Artificial Intelligence Wireless Network

Zhang

2022

Wireless Communications and Mobile Computing

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“…The term "perceived risk" comes from social psychology, meaning that people will feel the risk as long as they believe that their expected goals cannot be achieved (Zhao & Yu, 2020). Perceived risk has uncertainty and consequences.…”

Section: Analysis Of Perceived Risk and Enterprise's Willingness To Usementioning

confidence: 99%

The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing

Zhang

Chen

2023

Journal of Organizational and End User Computing

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The current development of remote monitoring technology (RMT) has become increasingly mature. The key to implementing this technology lies in the user's willingness to use it. In order to study the influencing factors of using RMT in green operation and service-oriented manufacturing enterprises, based on organizational behavior, this exploration discusses the reasons that affect the introduction of new technologies into enterprises from the perspectives of perceived risk, conformity and technology acceptance. Moreover, a series of data is obtained through the questionnaire and the results are obtained by analyzing the data. Suggestions to improve the use of RMT in enterprises are put forward. The results show that technology itself, external environment and organizational characteristics can all affect the decision-making of enterprises on new technology.

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Retracted Article: A wireless network remote monitoring method driven by artificial intelligence

Cited by 2 publications

References 23 publications

Research on the Hierarchical Teaching Method of University English Based on Artificial Intelligence Wireless Network

Research on the Hierarchical Teaching Method of University English Based on Artificial Intelligence Wireless Network

The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing

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