Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Distribution-level synchronized measurements serve as a valuable resource for event-type identification. The precision in identifying events offers crucial information for fault analysis, ...

Abstract: Motion planning for autonomous robots in dynamic environments poses numerous challenges due to uncertainties in the robot's dynamics and interaction with other agents. Sampling-based MPC ...

In this paper, we consider a skew-generalized inverse Weibull probability distribution for repetitive acceptance sampling plans based on truncated life tests with known shape parameter. The design ...