Abstract: This paper develops a dynamic self-triggered prescribed-time optimal tracking control scheme for helicopters by employing adaptive dynamic programming (ADP ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...

Optimal preview control enables dynamic systems to anticipate future reference signals or disturbances by incorporating a finite horizon of preview information into the control law. By augmenting the ...

Dynamic object detection and segmentation in three-dimensional environments is a multidisciplinary field at the intersection of computer vision, robotics and remote sensing. The core challenge lies in ...

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across ...

The landscape of market segmentation is rapidly transforming as we approach 2025, driven by emerging technologies and methodologies. As businesses seek competitive advantages, they are adopting ...

Most B2C marketers think they already know everything about customer segmentation. You create a list of similar buyers, send them a targeted email, and it drives better conversion rates because it’s ...

Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at ...