Abstract: This paper presents an Adaptive Generalized Quasi-Spectral Model Predictive Convex Programming (AGS-MPCP) framework for constrained guidance problems based on Gaussian orthogonal collocation ...

Add Yahoo as a preferred source to see more of our stories on Google. Candace Owens is photographed on the set of her show, "Candace," in Nashville, Tennessee. (Photo by Jason Kempin/Getty Images) The ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

A peculiar aspect of crypto has been the speed at which it has evolved, the polarised discussions around it and the incredible slowness of regulations as well as policy in contrast. It has also gone ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).

Find the best predictive analytics tools to boost customer experience with clear top picks, pricing guidance, and an easy how-to choose checklist. Predictive analytics tools are revolutionizing ...

As hospitals press ahead with digital transformation, the deployment of predictive artificial intelligence (AI) increasingly is becoming table stakes. But newly released data show a mounting “digital ...

Logistics has shifted from reactive problem-solving to proactive planning, where fulfilling orders requires foresight and precision. Predictive analytics has made forecasting for the upcoming months ...

The assassination of conservative activist Charlie Kirk has not only led to a national conversation about gun violence and ideologies in the United States, but has also sparked an online buzz ...

The cancer research company has adopted a digital asset treasury model centered on decentralized physical infrastructure networks. Update (Oct. 1, 00:30 UTC): This article has been updated to include ...

Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...