Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

The wide availability of sensing modules and computing capabilities in modern mobile
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …

We present an algorithm for multi-robot coverage of an initially unknown spatial scalar field
characterized by a density function, whereby a team of robots simultaneously estimates and …

This study estimates agricultural soil variables using a non-parametric machine learning
technique based on Lipschitz interpolation. This method is adapted for the first time to learn …

Sequential sampling methods are often used to estimate functions describing models
subjected to time‐intensive simulations or expensive experiments. These methods provide …

This paper presents results on spatio-temporal estimation of agricultural soil variables using
a novel methodology, called kinky inference. The methodology is applied to the temperature …

The identification of vector autoregressive (VAR) processes from partial samples is a
relevant problem motivated by several applications in finance, econometrics, and networked …