Electrocardiogram (ECG) is preserved as the procedure of the electrical activity recording, while the photoplethysmogram (PPG) is defined as a non-invasive measurement of the volumetric variances in the circulation of...
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Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challengi...
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In this generation, technology is developed in tremendous speed. The information on the Internet is increasing at a high speed each day. People get plenty of information via the search engine and spend much time to fi...
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ISBN:
(纸本)9784990801427
In this generation, technology is developed in tremendous speed. The information on the Internet is increasing at a high speed each day. People get plenty of information via the search engine and spend much time to filter out insignificant information at the same time. Therefore, this research system can filter all kinds of articles to exclude advertisement, news from network bookstore, or insignificant information related to keyword. After filtering, this system will gather up all useful articles and provide users to review. This study proposes the hybrid recommended system with multi-adaptive recommendation to learners. Hybrid recommendation is divided into two ways to recommend "Content-Based Recommendation" and "Collaborative Filtering Recommendation" articles. First, content-based recommendation is based on Term Frequency-Inverse Document Frequency to estimate the characteristic values of articles. Then, we set the weight of difficulty of keywords. After that, people can decide the level of article in the beginning and use it for reference. Besides, collaborative filtering recommendation is applied based on user abilities estimated by IQ tests, quizzes, online tests, ability certificates, and other exams. When the result of two users is similar and one of them thinks it's useful, the article will be automatically forwarded to the other.
This study explores the development of a deep learning model using a neck-wearable piezoelectric sensor to accurately distinguish severe sleep apnea syndrome (SAS) from habitual snoring, addressing the underdiagnosis ...
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Developments in new-generation informationtechnology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the *** objects can be at the ...
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Developments in new-generation informationtechnology have enabled Digital Twins to reshape the physical world into a virtual digital space and provide technical support for constructing the *** objects can be at the micro-,meso-,or *** Metaverse is a complex collection of solid,liquid,gaseous,plasma,and other uncertain ***,the Metaverse integrates tangibles with social relations,such as interpersonal(friends,partners,and family)and social relations(ethics,morality,and law).This review introduces some principles and laws,such as broken windows theory,small-world phenomenon,survivor bias,and herd behavior,for constructing a Digital Twins model for social ***,from multiple perspectives,this article reviews mappings of tangible and intangible real-world objects to the Metaverse using the Digital Twins model.
The Arabic language is a Semitic language and it exhibits systematic but complex morphological structure based on root-pattern design. The aim of the present paper is to propose a transfer-based approach using morphol...
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Recent years, the wide spread peer-assisted video-on-demand (VoD) systems have generated a great attention on how to optimize these applications. In particular, how to improve the system performance has become a popul...
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To ease the retrieval of documents published on the Web, the documents should be classified in a way that users find helpful and meaningful. This paper presents an approach to semantic document classification and retr...
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Social TV allows people to meet the demand of social experience while watching videos. Existing solutions cannot balance interest among group and provide good viewing quality for all members with different network ban...
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TF-IDF algorithm is often used in search engine, text similarity computation, web data mining, etc. These applications are often faced with the massive data processing. Therefore, how to calculate the tf-idf quickly a...
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