With the fast development of power systems, efficient methods for fault detection and classification are needed to maintain the stability, safety and efficiency of the systems. In particular, this paper investigates a...
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With the rapid development of Internet of Things technology, intelligent signal detection has become a highly challenging key issue. Traditional manual feature extraction methods are no longer able to cope with comple...
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Heart attacks and hypertension are two cardiovascular disease risk factors that have a major impact on the microvascular system39;s structure and function. Fundus camera images can detect abnormalities in retinal bl...
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The English learning system structure designed in this article is mainly based on the B/S three-level architecture. A relational database uses SQLite as the data layer. The system uses the Bootstrap system to automati...
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The rapid evolution of smartphone technology and the diverse range of available models have made selecting a cost-effective mobile phone a complex decision for consumers. Although brand, internal memory, camera qualit...
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The operational integrity of satellites is seriously threatened by space debris, as potential collisions might result in expensive damage and mission failures. The goal of this project is to create a predictive model ...
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In the era of big data, the number of learning resources is increasing exponentially, and learners need to spend a lot of time and energy searching for target resources, leading to problems such as information overloa...
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ISBN:
(纸本)9798350352634;9798350352627
In the era of big data, the number of learning resources is increasing exponentially, and learners need to spend a lot of time and energy searching for target resources, leading to problems such as information overload and learning confusion. This project proposes to establish a personalized learning recommendation model based on learner collaborative filtering algorithm. Firstly, model online learners and online learning recommendation projects. Then, it extracted their main features. Finally, through user collaborative filtering algorithms, personalized learning resources or paths that match personalized parameters are recommended to online learners, thereby stimulating their learning motivation and enthusiasm, improving learning effectiveness, and achieving personalized learning.
Mixed reality revolutionized education by creating comprehensive and dynamic educational settings that foster student participation and understanding. Through a comparative analysis of Mixed Reality applications in fi...
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AI software is regarded as the key to the formation of new domain and new quality combat capabilities in the future. In response to the characteristics of randomness, autonomy, and learning of AI software, traditional...
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This project presents the design of an automated access control system that aims to enhance security through the use of an ultrasonic motion sensor and a live heartbeat check. This system makes use of an ultrasonic se...
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