Abstract: This letter presents a unified framework for robust, uncertainty-aware anomaly detection and classification in cyber-physical system (CPS) time-series data with formal coverage guarantees ...

I am interested in mobile robot autonomy. One of the first problems encountered when robots operate outside controlled factory and research environments is the need to perceive their surroundings. My ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

Periventricular white matter hyperintensities (PVWMHs) in cerebral amyloid angiopathy (CAA) have been reported posterior predominant using semiautomated segmentation method and logarithmic ...

Abstract: This paper investigates the application of low altitude platform station (LAPS) and device-to-device (D2D) techniques in maritime emergency communications. The hovering LAPS acts as an ...

School of Pharmaceutical Sciences, University of Geneva, Rue Michel Servet 1, 1206 Genève, Switzerland Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, 1206 ...

Division of Bioanalytical Chemistry, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081HVAmsterdam, The Netherlands AMLab, Informatics Institute, ...

Computer simulations of time–activity curve data were developed to evaluate the bias and SD of delay estimation approaches. A high-temporal-resolution IF (0.1-s sampling) representing a bolus of 18 ...

Over the last few years, there has been growing interest in measuring the contractile force (CF) of engineered muscle tissues to evaluate their functionality. However, there are still no standards ...

Choosing a statistical model and accounting for uncertainty about this choice are important parts of the scientific process and are required for common statistical tasks such as parameter estimation, ...