Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...
Materials inspired by nature, or biomimetic materials, are nothing new. Scientists have designed water-resistant materials ...
Overseas experience suggests predictive tools can improve child protection, if used carefully. Should NZ reconsider its ...
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 ...
The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
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