Centralized Vehicle Security System is a python-based computerapplication, that uses Machine Learning (ML) techniques to detect and recognize the driver's face. So that only authorized personnel of an organizatio...
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Traditional machine learning methods for detecting JavaScript malicious code have the problems of complex feature extraction process, extensive computation, and difficult detection due to malicious code confusion, whi...
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An intelligent learning system based on online resource open course was proposed based on Semantic Web ontology technology. The system mainly includes experimental content, online test, video on demand, teaching forum...
An intelligent learning system based on online resource open course was proposed based on Semantic Web ontology technology. The system mainly includes experimental content, online test, video on demand, teaching forum and other modules. Firstly, according to the characteristics of the learning behavior data collected by the online resource open course platform, the characteristics of learners are selected. Then, a knowledge tracking model is constructed based on Bayesian network, model parameters are set based on empirical probability, and the difficulty of problems is introduced into the model. Finally, we define the positive characteristics of students’ attitude and build a learning attitude tracking model based on classification algorithm. The design of the system is reasonable, the operation is simple, the maintenance is convenient, the operation is stable, the security is high, and the teaching method of the basic course of computerapplication is optimized, and the computerapplication ability of the students is greatly improved.
作者：
Guo, KaimengUniversity of Macau
Faculty of Social Sciences Humanities and Social Sciences Building Macau Taipa999078 China
Mobile Internet, Internet of things, big data, cloud computing, intelligent human-computer interaction and artificial intelligence algorithms jointly promote the development of current media platforms and systems in t...
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This paper introduces the design and construction of 5G network relay system for sports game broadcast video and audio signals. The main functional components of the system, the new technology of 5G wireless transmiss...
This paper introduces the design and construction of 5G network relay system for sports game broadcast video and audio signals. The main functional components of the system, the new technology of 5G wireless transmission, and the high-definition image of UAV are described. A full-duplex UAV measurement and control and high-speed data transmission system based on distributed software radio architecture is designed and implemented. In this paper, the estimation method of point spread function under different motion blur conditions is proposed, and the Wiener filter restoration algorithm is used to estimate the image, and an image restoration scheme suitable for UAV imaging guidance system is given. The design of the system is based on modularization and standardization. It has good expansibility and maintainability.
In this paper, an English machine translation system based on human-computer interaction enhancement algorithm is designed. The hardware part uses the sub board as the processing core. Design Internet data controller....
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This paper focuses on the management of parking IoT devices and introduces the practice of using Hadoop and NB-IoT technologies for data processing and intelligent management. The paper describes the basic infrastruct...
This paper focuses on the management of parking IoT devices and introduces the practice of using Hadoop and NB-IoT technologies for data processing and intelligent management. The paper describes the basic infrastructure and components of the Hadoop platform, as well as methods for implementing big data processing and analysis, while delving into the application scenarios and advantages of NB-IoT technology in IoT device management. Based on this, the paper constructs the architecture and functional modules of the IoT device management platform, including data acquisition, storage, analysis, visualization, etc., and proposes application solutions such as intelligent warning, real-time monitoring, and decision support. The research results have high reference value for the research and practice in the field of parking IoT device management.
Due to its high stability and information transfer rate, steady-state visual evoked potential (SSVEP) is one of the most widely used brain-computer interface paradigms. However, because of inter-subject variability, S...
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In this paper, based on the open source UC dataset, the original dataset was first subjected to data preprocessing operations such as logarithmic transformation, outlier and missing value processing, and dimensionalit...
In this paper, based on the open source UC dataset, the original dataset was first subjected to data preprocessing operations such as logarithmic transformation, outlier and missing value processing, and dimensionality reduction to obtain complete, valid, intuitive, and concise data. To avoid multicollinearity among variables, the variance expansion coefficient of each variable was calculated and found to be less than 5, so there was no multicollinearity. Then lasso regression feature extraction was performed to reduce the number of variables to 13, thus reducing the complexity of the model. A random forest prediction model was constructed, and its average relative error was 0.04217 according to the model evaluation criterion 0.99157, with an error precision of 1. The model has good precision and is useful for prediction research in other fields.
With the development and application of computer federated learning technology, there are more attack methods targeting federated learning, posing challenges to data privacy security. This article proposes a weight hi...
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