This research presents the implementation of machine learning (ML) for fault classification
and diagnosis on vehicle power transmission system (VPTS). Machine learning method can …

The Brillouin Optical Time-Domain Analyzer assisted by the AdaBoost Algorithm for Brillouin
frequency shift (BFS) extraction is proposed and experimentally demonstrated. The Brillouin …

In this paper, an original algorithm to solve multiobjective optimization problems, which
makes use of the tabu search meta-heuristic, is presented. Scalarization of the vector …

Design of microwave structures and tuning parameters have mostly relied on the domain
expertise of circuit designers by doing many simulations, which can be prohibitively time …

Quantum inverse problem (QIP) is the problem of estimating an unknown quantum system
from a set of measurements, whereas the classical counterpart is the inverse problem of …

Electrical impedance tomography (EIT) is a non-invasive imaging technique. The main task
of this work is to solve a non-linear inverse problem, for which several techniques have been …

Purpose–The aim of the paper is to compare two different approaches to multi‐objective
optimisation in magnetostatics; in this way, the case study is investigated as a possible …

Long-wave infrared (LWIR) spectral imaging plays a critical role in various applications such
as gas monitoring, mineral exploration, and fire detection. Recent advancements in …

This paper focuses on mobility management between heterogeneous radio access networks
(RANs). A fuzzy multi-criteria vertical handover algorithm enhancing the handover …

A number of numerical and analytical methods with different complexity can be exploited to
analyse fibre amplifiers. Conventional approaches make the refinement and design of the …