Abstract: This paper develops a probabilistic anticipation algorithm for dynamic objects observed by an autonomous robot in an urban environment. Predictive Gaussian mixture models are used due to ...

Objectives To quantify the preference of patients with diabetes mellitus (DM) for primary healthcare (PHC) institutions in China to redirect the patient flow and improve health outcomes. Design ...

Tzveta Iordanova is an expert in credit and risk management, financial reporting, and a writer for online financial services platforms. Andy Smith is a Certified Financial Planner (CFP®), licensed ...

Microsimulation is a form of individual-based stochastic simulation. In continuous time, microsimulation is closely related to discrete event simulation, and in discrete time it is closely related to ...

Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...

to speed up the construction of the discrete-time model by turning to Newton-type methods for solving the Schrödinger system (in the next section, we show numerically that a mixed Newton–Sinkhorn ...

Crop trait and varietal preferences are socially shaped, varying by gender, experience, and on-farm roles. This drives preference heterogeneity, between households but also within households. Adhering ...

Abstract: Convolution and matched filtering are often used to detect a known signal in the presence of noise. The probability of detection and probability of missed detection are well known and widely ...