As nuclear facilities around the world approach the end of their operational lives, international experts are increasingly turning to data-driven decision frameworks and advanced technologies to ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...

Dr. Lamas, a contributing Opinion writer, is a pulmonary and critical care physician at Brigham and Women’s Hospital in Boston. One night a few years ago, I watched a young man die over the course of ...

Abstract: Task offloading decision-making plays a crucial role in improving system performance in heterogeneous vehicular networks. This paper provides a systematic review of current research in the ...

ABSTRACT: Artificial Intelligence (AI) is rapidly transforming global politics and military security, offering both strategic advantages and unprecedented risks. Unlike nuclear or conventional arms, ...

Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and ...

Rotman School of Management’s Jennifer Riel shares a four-step process for making stronger choices. Jennifer Riel, an adjunct professor at the Rotman School of Management, presents a model way to ...

"It’s not personal, it’s business." That phrase might as well have been a lullaby for generations of executives who slept soundly through the ethical consequences of their decisions. For decades, it ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...