To achieve the goals of rapid content determination of capsaicin and adulteration detection
of pepper powder. The method based on the hand-held near-infrared spectrometer …

We present an application to melanoma detection of a multiple instance learning (MIL)
approach, whose objective, in the binary case, is to discriminate between positive and …

To overcome the complexity of fault diagnosis in electric vehicle batteries and the
challenges in obtaining fault state data, we propose a fault diagnosis method based on a …

We face a binary multiple instance learning (MIL) problem, whose objective is to
discriminate between two kinds of point sets: positive and negative. In the MIL terminology …

At the end of 2019, the World Health Organization (WHO) referred that the Public Health
Commission of Hubei Province, China, reported cases of severe and unknown pneumonia …

We tackle the problem of separating two finite sets of samples by means of a spherical
surface, focusing on the case where the center of the sphere is fixed. Such approach …

In the standard classification problems, the objective is to categorize points into different
classes. Multiple instance learning (MIL), instead, is aimed at classifying bags of points …

In this paper, a methodology to estimate the load model for electric vehicle fast-charging
station (EVFCS) considering a measurement-based load modelling approach, is presented …

In this paper the fault location is presented in distribution systems with distributed generation
using Support Vector Machines and information provided by smart meters located on the …

With the rapid development of smart technologies, the Internet of Vehicles (IoV) is
revolutionizing transportation and mobility. However, the complexity and interconnectedness …