To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

Abstract: This brief studies the stochastic optimal control problem via reinforcement learning and approximate/adaptive dynamic programming (ADP). A policy iteration algorithm is derived in the ...

A trailer released Tuesday for a new version of The Matrix shows how the 1999 sci-fi action classic will be experienced in Cosm’s “shared reality” venues starting in June. “Over 25 years ago, the ...

As movie studios and theater owners keep exploring premium formats as a way to lure ticket buyers, Warner Bros has set a multi-film partnership with “shared reality” venue operator Cosm. First out of ...

Pimoroni Interstate 75 W (RP2350) is an all-in-one RGB LED matrix driver board designed for HUB75 LED matrix panels commonly used in video walls, advertising displays, and creative signage. Built ...

Room impulse responses (RIRs) between static loudspeaker and microphone locations can be estimated using a number of well-established measurement and inference procedures. While these procedures ...

Abstract: In this paper, a constraint-aware suboptimal control scheme under adaptive dynamic programming (ADP) is investigated for nonlinear vessel systems characterized by dynamic event-triggering ...

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...

In this paper, we have proposed a novel model called proximal support matrix machine (PSMM), which is mainly based on the models of proximal support vector machine (PSVM) and low rank support matrix ...