Abstract: Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...

dots.ocr is a powerful, multilingual document parser that unifies layout detection and content recognition within a single vision-language model while maintaining good reading order. Despite its ...

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a revolutionary advancement. This innovative approach enables motors to operate ...

The development of predictive models for Hodgkin lymphoma is advancing with a focus on simplicity, objectivity, and broad applicability. According to Andrew Evens, DO, MBA, MSc, deputy director for ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

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Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...