Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

"In a disaster scenario, one of your biggest resources is time," Ladris Technologies CEO Leo Zlimen told San Jose Spotlight. ...

San Jose faces a wide array of disaster risks, each of which poses its own difficult questions for emergency management ...

The customer journey mapping software market demonstrated strong growth momentum with a valuation of USD 1.2 billion in 2024, reflecting rising enterprise investments in customer experience ...

The city council last week praised new software, called Iris, that tracks the health of city assets, with some councilmembers saying the system will be essential to city ...

How AI-driven admission and discharge prediction can help emergency departments improve throughput, reduce delays, and ...

IBM SPSS provides comprehensive tools for statistical modeling, data analysis, and predictive insights in one integrated environment. Go To The Website Using The Button Above. Follow The On-Screen ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Understanding brain—behavior relationships and predicting cognitive and clinical outcomes from neuromarkers are central tasks in neuroscience. Connectome-based Predictive Modeling (CPM) has been ...

Predictive models were built with records from 4758 patients and validated with 6977 patients after evaluation in the emergency department. Variables recorded were age, sex, place of birth, clinical ...

Abstract: The fast-paced digital ecosystem of today calls for software systems to be reliable in ensuring the efficiency of operations and continuity of business. Reactive maintenance, the traditional ...