Internal biometric identification systems based on convolutional neuron network (CNN) is precise but there are disadvantages of demanding enormous data and endless calculating. Therefore, it is difficult for CNN to be...
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In this paper, a parameter estimation-based security access integration method for computer network smart data is designed. The scale of data clustering is determined according to the distribution and evolution charac...
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Aiming at the shortcoming of existing pattern methods in handling massive data, a parallel hypernym relation extraction method on Spark is proposed. To improve the extraction accuracy, Combined with Spark's rdD pr...
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This paper discusses a new idea of graphic visual expression design based on user experience. Using computer image and image processing technology to complete the plane visual communication design. Improve the visual ...
This paper discusses a new idea of graphic visual expression design based on user experience. Using computer image and image processing technology to complete the plane visual communication design. Improve the visual communication of graphics and the user's feelings. This project constructs a spatial-temporal distribution model of visual features of graphic design based on multi-dimensional perspectives, and weights its spatial attributes based on the mean gradient and information entropy of images. Taking the farthest point of the contour line as the core, the multidimensional Angle segmentation is carried out. The proposed algorithm is combined with the conventional algorithm to realize the automatic recognition based on the location of specific feature points, and the processing speed is good. The correctness of the proposed algorithm is proved by experiments.
Federated learning is a distributed machine learning method that protects privacy by allowing participants to train models locally rather than uploading data. However, federated learning has a significant barrier beca...
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With the continuous development of computer technology, the scale and complexity of software systems are increasing, and the importance of software testing has become increasingly prominent. Traditional software testi...
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In this paper, we add an annotation for the task of Chinese pronoun resolution for events to the existing dataset. We first segment the article by sentence and parse the sentence into consistency parsing. Then we coll...
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Due to its high mortality rate and limited survival duration, early identification of breast cancer is vital. The primary application of machine learning models has been the prediction and early diagnosis of breast ca...
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A transaction decision model will be built with quantitative investment as the core. The moving average (MA) and the moving average convergence and divergence (MACD) is taken as the opening level signal. Based on Mark...
A transaction decision model will be built with quantitative investment as the core. The moving average (MA) and the moving average convergence and divergence (MACD) is taken as the opening level signal. Based on Markowitz’s classical portfolio theory, the optimal portfolio with the weight on the effective frontier will be constructed, and the weight structure of each risk asset in the portfolio will be dynamically adjusted. A neural network model based on Long Short-Term Memory (LSTM) will be established to predict the prices of gold and bitcoin, so as to modify the trading *** results show that on the 40th day, trend tracking indicators (MA and MACD) and weight calculation methods can provide scientific guidance for transaction decision-making; on the 350th day, the LSTM model can predict price changes in a good manner. Finally, after 46 trading activities, the investment value will become $105,131.5864 five years later.
This paper introduces an embedded software for English information query based on ARM single chip microcomputer LPC2290 and Mini GUI. Integrate the Mini GUI with network communication. Remote access to MySQL using C/S...
This paper introduces an embedded software for English information query based on ARM single chip microcomputer LPC2290 and Mini GUI. Integrate the Mini GUI with network communication. Remote access to MySQL using C/S architecture. The hardware and software architecture of English data intelligent retrieval terminal system is presented. The graphical interface of the system and the data extraction of the system are completed based on Mini GUI. Several main implementation links of the system are also explained. This paper presents an intelligent query terminal based on English data, which improves the user interface very well. It can not only realize the intelligent search of English data, but also solve the expensive problem of the traditional intelligent search terminal of English data.
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