In nature, random fiber networks such as some of the tissues in the human body, are strong and tough with the ability to hold together but also stretch a lot before they fail. Studying this structural ...
ABSTRACT: Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and weathering processes. This study applies the OpenDrift’s OpenOil ...
Abstract: Federated Learning (FL) is a communication-efficient distributed machine learning method that allows multiple devices to collaboratively train models without sharing raw data. FL can be ...
I have been accused of being a chemist, although usually not by chemists. My first foray into chemistry as a mechanical and aerospace engineering student at Princeton was neither inspiring nor ...
Background: To compare the ability and potential additional value of various diffusion models, including continuous-time random walk (CTRW), restrictive spectrum imaging (RSI), and diffusion-weighted ...
Abstract: Transfer learning has been widely used in different scenarios, especially in those lacking enough labeled data. However, most of the existing transfer learning methods are based on the ...
Quantum walks offer a novel approach to solving complex problems that stump classical computers. From powerful algorithms that streamline database searches to enabling quantum simulations, this ...
Quantum walk applications are divided into 4 main categories: quantum computing, quantum simulation, quantum information processing, and graph-theoretic applications. Quantum walks are a powerful ...
The IMF's Western Hemisphere Department, through research led by Bas B. Bakker, introduces a hybrid model that addresses a core puzzle in international finance: do exchange rates follow a random walk ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper addresses a key puzzle in international finance: whether exchange rates follow a random walk or exhibit ...
Ivan Corwin is using math to show that outlier particles do not follow Einstein’s theory. And he’s collaborating with his brother. For a long time, long ago, scientists believed that willpower drove ...
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