Abstract: There has been an increasing interest in using model predictive control (MPC) for power electronic applications. However, the exponential increase in computational complexity and demand of ...

Colleges and universities are navigating an increasingly complex landscape. Rising rates of anxiety, depression, and burnout are colliding with growing concerns about physical safety. Meanwhile, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Abstract: To address the issue of weak robustness caused by parameter mismatches in model predictive control (MPC), model-free predictive control is widely adopted in motor driving systems. This ...

Source: Getty Images A new predictive model based on artificial intelligence identifies men who will and will not benefit from adding androgen deprivation therapy to radiation therapy for intermediate ...

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...

Background Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with localized prostate cancer. However, ADT can negatively impact quality of life and there remain no validated ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Artificial intelligence (AI) holds great promise for businesses today, especially for marketing teams who must anticipate customers' interests and behavior to achieve their goals. Despite the growing ...

Development Status: As of 01/04/2021, PyHealth is under active development and in its alpha stage. Please follow, star, and fork to get the latest functions! Deep learning researchers may directly use ...