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Results: 995
CTNRL
Network representation learning is one of the important works of analyzing network information. Its purpose is to learn a vector for each node in the network and map it into the vector space, and the resulting number of node...
Dynamic Prediction Model of Financial Asset Volatility Based on Bidirectional Recurrent Neural Networks
Predicting financial market volatility is essential for investors and risk management. This study proposes a dynamic prediction model for financial asset volatility, with a Bi-directional Recurrent Neural Network (Bi-RNN)...
Application of Multimedia Data Feature Extraction Technology in Folk Art Creation
Ying-ying Gong
Jan 01, 2024
In the intelligent background, in order to carry out the folk art creation more conveniently, this article integrates the new technology of multimedia data features into the folk art creation to achieve the sustainable...
A Corpus-Based Study on the Translation Style of Five English Versions of Fu Sheng Liu Ji, Vol I
Bing Zhang
Oct 31, 2022
Using a corpus approach, this article investigates the translation styles of the first chapter of Fu Sheng Liu Ji at three levels: the statistical parameters, the translation of culture-specific lexis, and readability...
Personalized POI Recommendation Using CAGRU and Implicit Semantic Feature Extraction in LBSN
Haiqin Ye, Ying Chen
Jan 01, 2024
With the intention of addressing the concern that existing point of interest recommendation methods fail to fully utilize the auxiliary information of the point of interest, from which it is challenging to extricate a...
Using VR for Collaborative Learning
Although virtual reality (VR) has been technologically possible for decades, both logistical and pedagogical limitations have slowed progress relating to collaborating with others in virtual reality environments. This article...
Design of Library Archives Information Management Systems Based on Artificial Intelligence and Multimedia Technology
Ying Li
Jan 04, 2023
With the rapid development of information technology, the storage and management of library archives and books must meet the needs of readers. In this process, people's demands for various knowledge and information are...
Dynamic Interaction and Visualization Design of Database Information Based on Artificial Intelligence
Ying Fan
Jan 04, 2023
With the explosive growth of data, people's demand for data analysis has become more intense. Although modern technology can collect a large amount of data, the collected original data is often useless and contains little...
Design and Application of Legal Information Systems Based on Big Data Technology
Ying Wang
Jan 01, 2024
China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly add new cache policies when...
Evaluation of Interactive College Piano Teaching's Effect Based on Artificial Intelligence Technology
Ying Liu
Jan 01, 2024
In recent years, with the economic development of various countries, education has also made great leaps, and piano teaching has been popularized and promoted in various universities. Pianos are also put into use in universities...
Confining Nanopore Bipolar Electrochemical Processes to Give Pattern in Space and Time
Frank Marken
Sep 01, 2017

"Wireless" metal-coated nanopore electrode processes have been developed by Long and co-workers (R. Gao, Y. Lin, Y.-L. Ying, X.-Y. Liu, X. Shi, Y.-X. Hu, Y.-T. Long, Small, 2017 DOI: 10.1002/smll.201700234), confining bipolar...

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Confining Nanopore Bipolar Electrochemical Processes to Give Pattern in Space and Time
Frank Marken
Sep 01, 2017

"Wireless" metal-coated nanopore electrode processes have been developed by Long and co-workers (R. Gao, Y. Lin, Y.-L. Ying, X.-Y. Liu, X. Shi, Y.-X. Hu, Y.-T. Long, Small, 2017 DOI: 10.1002/smll.201700234), confining bipolar...

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Artificial Intelligence Method for Accurate Translation of Fuzzy Semantics in English Language and Literature
Ying Sun
Jan 01, 2023
In order to address the drawbacks of semantic ambiguity, inaccurate quantifiers, and low translation accuracy in traditional grammar-based translation methods, this paper proposes an artificial intelligence translation method...
An Innovative Approach to Optimize Inbound Delivery Scheduling at Distribution Centers
Distribution centers (DCs) run more efficiently if their inbound deliveries are spread out evenly over the days of the week so that volume is aligned with receiving capacity. However, delivery dates are often scheduled at the...
Construction of a Teaching Platform of Modern and Contemporary Chinese Literature From the Perspective of Diversified Intelligence
Ying Ma, Gongyi Yu
Jan 01, 2024
This paper discusses the functional principle of the theory in detail based on the theory of diversified intelligence and constructs a teaching platform of diversified intelligence. Then, this platform is applied to teaching in...
Selective opposition-like control of large-scale structures in wall-bounded turbulence
Abstract We investigate the effect of controlling large-scale, logarithmic-layer turbulent structures, which have a characteristic size and aspect ratio that scale with the...
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Mitotic Exit Control in Budding Yeast: Regulators and Dynamics
Ying Lu
Jan 01, 0001
In budding yeast, the phosphatase Cdc14 is released from nucleolus to promote mitotic exit (ME). Cdc14 release and ME is controlled by mitotic cyclin-Cdk oscillation, the FEAR network including a non-proteolytic function of...
Published by: Rockefeller University
Analysis Method of App Software User Experience Based on Multisource Information Fusion
With the rapid development and popularization of intelligent terminals, app software has also developed rapidly. The research and practical value of mining user experience (UX) of app software form interaction information are...
Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data
For e-commerce companies, it is easier to obtain a large amount of aggregated data about user behavior with the help of embedded network platforms, which contains valuable information that helps to form effective...

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