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With the increasing complexity of engineered systems, digital twins (DTs) have been widely used to support integrated modeling, simulation, and decision-making of the system of systems (SoS). However, when integrating DTs of each constituent system, it is ...
Understanding the meaning of value to asset-intensive organizations and their stakeholders has been a long -standing goal of researchers and managers of the asset management community. These issues have become particularly prominent with the publication of ...
This book offers an interdisciplinary and dynamic account of the politicization of urban planning in Mumbai, India. It presents a unique perspective on the tensions and conflicts pervading the development and regulation of contemporary cities in the wider ...
Surprising events trigger measurable brain activity and influence human behavior by affecting learning, memory, and decision-making. Currently there is, however, no consensus on the definition of surprise. Here we identify 18 mathematical definitions of su ...
It is natural for humans to judge the outcome of a decision under uncertainty as a percentage of an ex-post optimal performance. We propose a robust decision-making framework based on a relative performance index. It is shown that if the decision maker's p ...
Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher's impact and career. In particular, the extent to which one specializes within their chosen fields likely ...
Intercurrent (post-treatment) events occur frequently in randomized trials, and investigators often express interest in treatment effects that suitably take account of these events. Contrasts that naively condition on intercurrent events do not have a stra ...
Supply Chain Management (SCM), by way of one of the critical issues in the managerial aspect, plays a significant role in tackling humanitarian problems and difficulties. Due to some limitations (e.g., production capacity and storage capacity) and desires ...
Anterior cruciate ligament (ACL) tear is one of the most common knee injuries. The ACL reconstruction surgery aims to restore healthy knee function by replacing the injured ligament with a graft. Proper selection of the optimal surgery parameters is a comp ...
In network semi-supervised learning problems, only a subset of the network nodes is able to access the data labeling. This paper formulates a decentralized optimization problem where agents have individual decision rules to estimate, subject to the conditi ...