Recent advances in control algorithms for smart structures and machines

M Gutierrez Soto, H Adeli - Expert Systems, 2017 - Wiley Online Library
This paper presents a state‐of‐the‐art review of recent control algorithms used primarily for
vibration control of smart structures and machines. Control algorithms can be divided into …

Gravitational search algorithm and its variants

N Siddique, H Adeli - … Journal of Pattern Recognition and Artificial …, 2016 - World Scientific
Gravitational search algorithm (GSA) is a nature-inspired conceptual framework with roots in
gravitational kinematics, a branch of physics that models the motion of masses moving …

[HTML][HTML] Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals

CA Perez-Ramirez, JP Amezquita-Sanchez… - Journal of …, 2016 - extrica.com
A major trust of modal parameters identification (MPI) research in recent years has been
based on using artificial and natural vibrations sources because vibration measurements …

Generalized models for the classification of abnormal movements in daily life and its applicability to epilepsy convulsion recognition

JR Villar, P Vergara, M Menéndez… - … journal of neural …, 2016 - World Scientific
The identification and the modeling of epilepsy convulsions during everyday life using
wearable devices would enhance patient anamnesis and monitoring. The psychology of the …

Assembling a multi-feature EEG classifier for left–right motor imagery data using wavelet-based fuzzy approximate entropy for improved accuracy

WY Hsu - International journal of neural systems, 2015 - World Scientific
An EEG classifier is proposed for application in the analysis of motor imagery (MI) EEG data
from a brain–computer interface (BCI) competition in this study. Applying subject-action …

An entropy measure definition for finite interval-valued hesitant fuzzy sets

P Quirós, P Alonso, H Bustince, I Díaz… - Knowledge-Based …, 2015 - Elsevier
In this work, a definition of entropy is studied in an interval-valued hesitant fuzzy
environment, instead of the classical fuzzy logic or the interval-valued one. As the properties …

Automatic learning of image filters using Cartesian genetic programming

PCD Paris, EC Pedrino… - Integrated Computer …, 2015 - content.iospress.com
This paper proposes a computational modeling for image filtering processes based on the
Cartesian Genetic Programming (CGP) methodology, suitable for hardware devices. A …

Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning

I Bougoudis, K Demertzis… - Integrated Computer-Aided …, 2016 - content.iospress.com
Air pollution is the problem of adding harmful substances or other agents into the
atmosphere and it is caused by industrial, transport or household activities. It is one of the …

A hybrid optimization approach for sustainable process planning and scheduling

XX Li, WD Li, XT Cai, FZ He - Integrated Computer-Aided …, 2015 - content.iospress.com
Process planning and scheduling are important stages in manufacturing, and good
strategies can significantly improve the energy performance of manufacturing to achieve …

Semi-supervised hybrid modeling of atmospheric pollution in urban centers

I Bougoudis, K Demertzis, L Iliadis, VD Anezakis… - … Applications of Neural …, 2016 - Springer
Air pollution is directly linked with the development of technology and science, the progress
of which besides significant benefits to mankind it also has adverse effects on the …