Step inside the strange world of a superfluid, a liquid that can flow endlessly without friction, defying the common-sense ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
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The future of GTM starts with causal clarity
Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...
The oceans represent a vast, predictable, and largely untapped renewable energy resource, with wave power holding the potential to deliver clean electricity ...
Considering the characteristics of large slenderness ratio structure, it is reasonable to simplify the dynamics of a HALE aircraft as the plunge, pitch, and flap motions of a planar airfoil. The ...
Abstract: Controlling nonlinear dynamic systems poses significant challenges in process systems engineering (PSE) due to their complex nonlinear dynamics, time-varying parameters, and vulnerability to ...
Ad spending continued its shift away from linear TV to streaming during this year’s upfront ad-buying season, but, thanks in part to the growth of free ad-supported streaming services (FASTs), buyers ...
Abstract: This article proposes a game-based distributed decision optimization method for heterogeneous multiagent systems with unknown nonlinear dynamics. Due to the information exchange between ...
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