Yokogawa defines autonomous control AI as AI that deduces the optimum method for control independently, and has a high level ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

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Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

Abstract: Due to the inherent $\pi $ -phase constraint in phase unwrapping algorithms, the dynamic strain range of phase-sensitive optical time domain reflectometry ($\Phi $ -OTDR) is significantly ...