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.
Precisely predicting the stock price movement trend is essential for investors to gain enormous profit. However, due to the complicated financial environment, it is challenging to make an accurate market prediction. Machine learning is an effective tool to make such predictions. To build an effective investment strategy, selections of input features, prediction model with high accuracy, and buy-and-sell...
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally fuzz testing tools use random inputs and watch the resulting values. In this paper, we present a model-based fuzz framework for systematic automated testing of a TCG trusted software stack implementation. This framework is based on blackbox fuzz testing methods, integrated with target profiling,...
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.