AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few could ...
To many, an old machine buried by weeds is a reminder that time can’t be outmuscled, not even by the strongest diesel engines. To the Samuelson family, the rusted 1939 Farmall F-20 that arrived in ...
Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...
Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...
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