Results 21 to 30 of about 38,091,835 (294)
A graph neural network framework based on preference-aware graph diffusion for recommendation
Transforming user check-in data into graph structure data is a popular and powerful way to analyze users' behaviors in the field of recommendation. Graph-based deep learning methods such as graph embeddings and graph neural networks have shown promising ...
Tao Shu +3 more
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Demand-Side Economies of Scope in Big Tech Business Modelling and Strategy
The purpose of the paper is to discuss the issue of economies of scope in platform research and to attract attention to the importance of scope economies for the strength and growth of Big Tech corporations.
Anders Henten, Iwona Windekilde
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Using Electronic Media to Convey Timely Information
For the past three years, Ohio State University Extension specialists and agents have utilized e-mail and fax services to convey weekly crop management and pest development concerns to crop consultants, farmers, and agronomy service personnel. Survey results confirm that this educational delivery is popular among industry personnel and farmers alike. E-
Siegrist, Howard +2 more
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ECG Arrhythmia Classification using High Order Spectrum and 2D Graph Fourier Transform
Heart diseases are in the front rank among several kinds of life threats, due to its high incidence and mortality. Regarded as a powerful tool in the diagnosis of the cardiac disorder and arrhythmia detection, analysis of electrocardiogram (ECG) signals ...
Shu Liu +3 more
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TWNet: a transfer learning-based framework for facial macro- and micro-expression spotting in long videos using hybrid features [PDF]
In the field of computer vision, spotting the occurrences of macro-expression (MaE) and micro-expression (ME) intervals from long video sequences is an intriguing topic across various research domains.
Huirong Fang +4 more
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Social Media in the Process of Evidence of Electronic Information and Transaction Crimes
This study aims to examine and analyze social media accounts’ status and seizure procedures in the evidentiary process of cybercrime. This study uses normative legal research with a statute and case approach. The collection of legal materials is carried out using a literature study technique.
Rionov Oktana +2 more
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Research on fine-grained parallel computation for elliptic curve cryptography(椭圆曲线密码细粒度并行计算研究)
根据加速经常性设计的原则,提出了一种基于对称运算单元的椭圆曲线密码(ECC)标量乘运算的高效细粒度并行运算架构.为了实现该架构,对ECC标量乘运算展开细粒度并行计算研究,通过标量乘运算的分解和推导,消除了数据相关性,得出运算效率高且适于指令级并行计算的算法形式.对标量乘运算的时间复杂度的分析结果表明,该算法比普通算法的速度提升了66.7%.并可通过并行计算进一步提升标量乘运算的速度性能.在采用3个运算单元的效率最优情况下,比采用1个运算单元时,速度提高了2倍.
CHENHua-feng(陈华锋) +2 more
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Smart grid-training systems enable trainers to achieve the high safety standards required for power operation. Effective methods for the rational segmentation of continuous fine actions can improve smart grid-training systems, which is of great ...
Yong Liu +5 more
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The economics of access to literature and information [PDF]
This paper will focus on the importance of cost and economics as a factor in access to information and literature. Both the broader macroeconomic context and the more focused microeconomic (South African) environment will be referred to.
Baker, Kim
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Smart agriculture has the potential to solve labor shortages and improve production efficiency and prices at the time of shipment. Predicting tomato yields during the cultivation period is crucial for planning shipment volumes and costs in advance.
Yasuhiro Okabe +4 more
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