Dear Editor, This letter deals with the problem of algorithm recommendation for online fault detection of spacecraft. By transforming the time series data into distributions and introducing a distribution-aware measur...
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Dear Editor, This letter deals with the problem of algorithm recommendation for online fault detection of spacecraft. By transforming the time series data into distributions and introducing a distribution-aware measure, a principal method is designed for quantifying the detectabilities of fault detection algorithms over special datasets.
The rise of distributed energy generation and storage is creating new opportunities for energy consumers to actively engage with energy markets. Achieving these potential benefits will require the implementation of ne...
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Because stress has such a powerful impact on human health,we must be able to identify it automatically in our everyday *** human activity recognition(HAR)system use data from several kinds of sensors to try to recogni...
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Because stress has such a powerful impact on human health,we must be able to identify it automatically in our everyday *** human activity recognition(HAR)system use data from several kinds of sensors to try to recognize and evaluate human actions automatically recognize and evaluate human *** the multimodal dataset DEAP(database for Emotion Analysis using Physiological Signals),this paper presents deep learning(DL)technique for effectively detecting human *** combination of vision-based and sensor-based approaches for recognizing human stress will help us achieve the increased efficiency of current stress recognition systems and predict probable actions in advance of when *** on visual and EEG(Electroencephalogram)data,this research aims to enhance the performance and extract the dominating characteristics of stress *** the stress identification test,we utilized the DEAP dataset,which included video and EEG *** also demonstrate that combining video and EEG characteristics may increase overall performance,with the suggested stochastic features providing the most accurate *** the first step,CNN(Convolutional Neural Network)extracts feature vectors from video frames and EEG *** Level(FL)fusion that combines the features extracted from video and EEG *** use XGBoost as our classifier model to predict stress,and we put it into *** stress recognition accuracy of the proposed method is compared to existing methods of Decision Tree(DT),Random Forest(RF),AdaBoost,Linear Discriminant Analysis(LDA),and KNearest Neighborhood(KNN).When we compared our technique to existing state-of-the-art approaches,we found that the suggested DL methodology combining multimodal and heterogeneous inputs may improve stress identification.
Attributed network embedding (ANE) is to learn low-dimensional vectors so that not only the network structure but also node attributes can be preserved in the embedding space. Existing ANE models do not consider the s...
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Background:Logistic regression models are widely used in clinical prediction,but their application in resource-poor settings or areas without internet access can be *** can serve as a useful visualization tool to spee...
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Background:Logistic regression models are widely used in clinical prediction,but their application in resource-poor settings or areas without internet access can be *** can serve as a useful visualization tool to speed up the calculation procedure,but existing nomogram generators often require the input of raw data,inhibiting the transformation of established logistic regression models that only provide *** a tool that can generate nomograms directly from logistic regression coefficients would greatly increase usability and facilitate the translation of research findings into patient ***:We designed and developed simpleNomo,an open-source Python toolbox that enables the construction of nomograms for logistic regression ***,simpleNomo allows for the creation of nomograms using only the coefficients of the ***,we also devoloped an online website for nomogram ***:simpleNomo properly maintains the predictive ability of the original logistic regression model and easy to *** is compatible with Python 3 and can be installed through Python Package Index(PyPI)or https://***/Hhy096/***:This paper presents simpleNomo,an open-source Python toolbox for generating nomograms for logistic regression *** facilitates the process of transferring established logistic regression models to nomograms and can further convert more existing works into practical use.
Beamforming design plays a crucial role in multi-antenna systems, with numerous methods proposed to optimize key performance metrics such as spectral efficiency and power consumption. However, these methods often face...
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We accelerate the iterative hard thresholding (IHT) method, which finds k important elements from a parameter vector in a linear regression model. Although the plain IHT repeatedly updates the parameter vector during ...
It has been widely proven that Augmented Reality (AR) brings numerous benefits in learning experiences, including enhancing learning outcomes and motivation. However, not many studies investigate how different forms o...
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With the continuous development of Internet technology, using multimedia for virtual application has become a new way. In this paper, by introducing the bayesian classification algorithm, multimedia graphics and video...
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The main goal of web development is to create, build and maintain websites. It is what allows the user to experience seamless performance when accessing a website. The web applications landscape has evolved tremendous...
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