Paul Cotae
www.ncbi.nlm.nih.gov
0000-0003-2339-5132
University of the District of Columbia
11 papers found
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Collaborative Cost Multi-Agent Decision-Making Algorithm with Factored-Value Monte Carlo Tree Search and Max-Plus
COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset
A Scalable Real-Time Distributed Multiagent Decision Making Algorithm with Cost
Malware Detection Framework in Cyber-Physical Systems Using Artificial Intelligence - Machine Learning
A Scalable Real-Time Multiagent Decision Making Algorithm with Cost
Using Counterfactual Regret Minimization and Monte Carlo Tree Search for Cybersecurity Threats
A Cybersecurity Model for Decision-Making Problems Under Uncertainty Using Game Theory
Towards DoS/DDoS Attack Detection Using Artificial Neural Networks
On a Game Theoretic Approach to Detect the Low-Rate Denial of Service Attacks
Spectral analysis of low rate of denial of service attacks detection based on fisher and Siegel tests
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