Browsing by Subject "Artificial neural networks"
Now showing items 1-2 of 2
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A MACHINE LEARNING BASED LANGUAGE MODEL TO IDENTIFY COMPROMISED USERS
(2018-04-19)Identifying compromised accounts on online social networks that are used for phishing attacks or sending spam messages is still one of the most challenging problems of cyber security. In this research, the author explore ... -
MOST INFLUENTIAL VARIABLES FOR SOLAR RADIATION FORECASTING USING ARTIFICIAL NEURAL NETWORKS
(2014-06-24)Decaying fossil fuel resources, international relation complexities, and the risks associated with nuclear power have led to an increased demand for alternative energy sources. Renewable energy sources offer adequate ...