The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Machine learning is currently a hot research topic and applied in intelligence transportation system to discover new valuable knowledge and patterns. In this paper, we extract trajectory information from popular traffic simulator and apply it into four different machine learning methods. In the case of the Gangnam district in Seoul, the Gradient Boosting Regression has better fit with lower values...
Accurate prediction of the future locations of the host vehicle as well as that of the surrounding objects is one of the key challenges in improving road traffic safety. The traditional approach for this task has been using physics-based motion models such as kinematic and dynamic models, the result of which is not reliable for long-term prediction. In this paper, we present simulation results demonstrating...
Recurrent neural network (RNN) has been broadly applied to natural language processing (NLP) and machine translation problems, by creating a deep learning model for sequential data. Hanmun is a Korean term for Chinese characters, and there are many cases in which Korean is pronounced by borrowing only the Chinese characters. Also, there are proper nouns and place names in the traditional Korean which...
This work considers the social link prediction problem in the human community. Since mobile phones with the support of wireless technologies have become an integral part of human life, mining the traces of mobile devices can help us to understand the community structure in the social network. Therefore, an encounter-based link prediction method in which we try to analyze the social relationship between...
In cognitive Radio Networks (CRNs), to utilize the available opportunities on the primary spectrum effectively; secondary transmitters should have a prior knowledge about the number of primary channels that are predicted to be available and hence the periods of time the secondary users can maintain the channel(s) to efficiently schedule their data while satisfying the constrains of the delivered application...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.