As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...
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Landmark-driven DRL boosts mobile robot navigation
Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...
Abstract: Mobile robots not only need to navigate autonomously in complex environments, but also need to avoid collisions with dynamic obstacles, especially pedestrians. This paper realizes dynamic ...
The sliding window is an algorithm typically used for strings or arrays, which allows analyzing a subset of data using a window of fixed or dynamic size. Simply put, the window, in this case, is a ...
Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) ...
Abstract: The traditional A* algorithm has several problems in practical applications, such as many path turning points, redundant nodes, and long running time. it is sometimes impossible to plan the ...
Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often ...
During the past decade and a half, I’ve studied from the inside more than 60 leading companies that focused on building and rebuilding supply chains to deliver goods and services to consumers as ...
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