Train rescheduling is a nonlinear optimization problem with multiple constraints. In the view of the theoretical methods and the actual application, the train intelligent rescheduling model is set up according to its ...
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With the further development in the fields of computer vision, network security, natural language processing and so on so forth, deep learning technology gradually exposed certain security risks. The existing deep lea...
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Mobile learning is a trend method that people used to study online nowadays. There is a lot of different study methods in mobile learning. Although mobile learning has been widely used for primary school, secondary sc...
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ISBN:
(纸本)9783030770242;9783030770259
Mobile learning is a trend method that people used to study online nowadays. There is a lot of different study methods in mobile learning. Although mobile learning has been widely used for primary school, secondary school or university and college but still yet to fully deploy in preschools age. Mobile learning can also be provided to preschoolers similar to university platforms, but for children or kids, game based mobile learning will be more suitable for them. This research will study the requirements of having a mobile learningapplication and to develop a mobile learningapplication for children age from 3 to 5 years old.
Clinical text classification is the process of extracting the information from clinical narratives. Clinical narratives are the voice files, notes taken during a lecture, or other spoken material given by physicians. ...
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In this paper, we have proposed a fully automated waste management system to implement waste segregation. The method adopted is computer vision and deep learning paired with an internet of thing (IOT) system that is c...
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The identification of appropriate manufacturing process parameters typically relies on rule-based schemes, expertise, and domain knowledge of highly skilled workers. Usually, the parameter settings remain the same for...
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The identification of appropriate manufacturing process parameters typically relies on rule-based schemes, expertise, and domain knowledge of highly skilled workers. Usually, the parameter settings remain the same for each part in an individual production lot once an acceptable quality is reached. Each part, however, has slightly different properties and part-specific parameter settings have the opportunity to increase quality and reduce scrap. We propose a simple linear regression model to identify process parameters based on experimental data and extend that model with ideas from time series analysis to achieve highly-accurate, part-specific parameter settings in a real-world manufacturing use case. We show the usefulness of exploiting the (autocorrelated) structure of regression residuals to improve the predictive performance of regression models in manufacturing environments. (C) 2021 The Authors. Published by Elsevier B.V.
The anti-spoofing ability is of great importance to the development of automated fingerprint recognition systems. This paper proposes a novel Optical Coherence Technology (OCT)-based fingerprint Presentation Attack De...
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The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion posi...
The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion positioning system based on Beidou indoor inertial navigation;research on aging dielectric properties and physical testing of electric vehicle insulating silicone rubber under first principles;computer intelligent dynamic simulation and optimization for structural platform of water treatment subsystem on the spacecraft;computer intelligent evaluation model of Jining water quality by fuzzy mathematics and intelligent computing;research on dynamic knowledge map service system using computer big data;study andapplication of computer information big data in basketball vision system using high-definition camera motion data capture;research on fan operation evaluation and error state judgment relying on improved neural network and intelligent;and research on the application of artificial intelligence machinelearning technology in improving the accuracy of engineering image processing.
Clustering galaxies based on structural properties reveals important details about their evolution and development. The morphology of a galaxy reveals a lot about its dynamic and merger history. It is closely linked t...
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The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion posi...
The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion positioning system based on Beidou indoor inertial navigation;research on aging dielectric properties and physical testing of electric vehicle insulating silicone rubber under first principles;computer intelligent dynamic simulation and optimization for structural platform of water treatment subsystem on the spacecraft;computer intelligent evaluation model of Jining water quality by fuzzy mathematics and intelligent computing;research on dynamic knowledge map service system using computer big data;study andapplication of computer information big data in basketball vision system using high-definition camera motion data capture;research on fan operation evaluation and error state judgment relying on improved neural network and intelligent;and research on the application of artificial intelligence machinelearning technology in improving the accuracy of engineering image processing.
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