Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...
This toolbox brings robotics-specific functionality to Python, and leverages Python's advantages of portability, ubiquity and support, and the capability of the open-source ecosystem for linear ...
College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...
Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...
Abstract: We present the design, implementation, and results of an algorithm for respiratory rate (RR) estimation using respiratory-induced frequency, intensity, and amplitude variation calculated ...
Department of Public Health Sciences, Biological Sciences Division, University of Chicago, Chicago, IL, USA To study the health impacts of Pennsylvania's fracking boom, we exploited the ban on UNGD in ...
In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky ...
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