Dr. Ayoubi is an Associate Professor in the Department of Mechanical Engineering at Santa Clara University. He earned his Ph.D. degree from the School of Aeronautics and Astronautics at Purdue ...
Abstract: Fuzzy clustering is an efficient tool for unsupervised data analysis, but its performance is often degraded by redundant information and outliers. To solve this issue for boosting clustering ...
Introduction to Robotics describes the basics of industrial robotics, including types, applications, and programming methods. Industrial robots are reprogrammable machines that can perform repetitive ...
Abstract: Fuzzy rule-based neural networks (FRNNs) have shown remarkable capability in combining human-interpretable fuzzy rules with the flexibility of data-driven learning, yet conventional type-1 ...
Billionaires are using their money to buy politicians, control governments, and shape the news. Together, we can reclaim our power and build a more equal future. Every signature unlocks $1 to help ...
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