Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
Abstract: Recently, developed data-driven SINDy-based techniques can identify the dynamic model of serial robots without simplifying assumptions nor pre-knowledge of all kinematics and geometric ...
Grading: There will be one midterm exam (25%) and a final exam (35%). A further 30% of the final grade will be based on homework/programming assignments, and 10% will be based on quizzes. Grading ...
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