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 ...
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, ...
A CDC advisory panel voted Friday to shift COVID vaccine guidance toward "individual decision-making," a policy the agency refers to as "shared clinical decision-making." The approach involves ...
Uncertainty seems to be everywhere right now. Uncertainty about the economy, politics, careers, weather, and wars, to name just a few. Doubt sets in anytime we face a decision with incomplete or ...
"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) ...
The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...
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