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Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Postpartum depression (PPD) is a prevalent mental health condition that significantly impacts the wellbeing of mothers and their families. Early identification of high-risk women continues to be a ...

Abstract: To address sparse channel measurement data and inadequate predictive capabilities in conventional channel models, predictive channel modeling employs joint generative and predictive ...

Texas Instruments introduced single-chip battery fuel gauges with adaptive Dynamic Z-Track technology for battery-powered devices. The predictive modeling algorithm in TI’s BQ41Z90 and BQ41Z50 gauges ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...

Furthermore, the XGB model demonstrated the most accurate calibration across all prediction windows, with values of 0.129, 0.136, 0.144, and 0.148, respectively. Additionally, decision curve analysis ...

The technology landscape has been redefined by the rise of XaaS (“anything as a service”). Initially built on the promise of the cloud, XaaS has revolutionized business by making IT services flexible, ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...