Dual board-certified ENT surgeon and sleep medicine specialist Dr. Julie Zweig continues to earn recognition for her integrative approach to healthcare, combining traditional medicine with functional ...

Abstract: Electromagnetic optimization problems involve the fine-tuning of electromagnetic systems across various domains. Solving electromagnetic optimization problems is crucial for advancements in ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

We present BOCoDe, a Python and PyTorch-based library that contains the most comprehensive suite of engineering design optimization problems and an interface to popular synthetic optimization problems ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Abstract: The combinatorial optimization problems (COPs) over graph are of great significance both in theory and practice, covering a wide range of scenarios in daily life and industrial production.

1 School of Mathematics and Statistics, Fuzhou University, Fuzhou, China. 2 College of Computer and Data Science, Fuzhou University, Fuzhou, China. In this paper, we use Physics-Informed Neural ...

As payment models shift, and the healthcare industry becomes increasingly complex, efficient revenue cycle management (RCM) practices are more important than ever. Practice management companies are at ...

The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and ...

Mitchel B. Weiss, Richard L. Menschel Professor of Management Practice at Harvard Business School, uses AI in his entrepreneurship course to generate ideas and understand public problems. His ...