As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

Intelligent control has become a cornerstone of modern robotics and autonomous systems, where agents must operate safely and reliably despite uncertainty in ...

Essentials for constructing a wide-dynamic-range system, including the application of switching or adaptive systems. Comparing multichannel vs. linear receivers. Analysis of how models react with ...