The expanding role of artificial intelligence in collaborative robots for industrial applications: A systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

MA Ahmadi, M Ebadi, A Shokrollahi, SMJ Majidi - Applied Soft Computing, 2013 - Elsevier
Multiphase flow meters (MPFMs) are utilized to provide quick and accurate well test data in
numerous numbers of oil production applications like those in remote or unmanned …

An artificial neural network approach for the control of the laser milling process

SL Campanelli, G Casalino, AD Ludovico… - … International Journal of …, 2013 - Springer
Laser milling (LM) can be classified as a layer manufacturing process in which the material
is removed by a laser beam by means of the ablation mechanism. It is a laser machining …

A cost-effective multi-verse optimization algorithm for efficient power generation in a microgrid

U Lakhina, I Elamvazuthi, N Badruddin, A Jangra… - Sustainability, 2023 - mdpi.com
Renewable energy sources (RESs) are a great source of power generation for microgrids
with expeditious urbanization and increase in demand in the energy sector. One of the …

A discrete PSO for two-stage assembly scheduling problem

Y Tian, D Liu, D Yuan, K Wang - The international journal of advanced …, 2013 - Springer
In this paper, a discrete particle swarm optimization (PSO) algorithm called DPSO is
proposed to solve the two-stage assembly scheduling problem with respect to bicriteria of …

[PDF][PDF] Cardiac arrhythmia classification using boosted decision trees

A Elsayyad, AM Nassef, AK Baareh - International Review on …, 2015 - researchgate.net
An intelligent system for the classification of Electrocardiograph (ECG) beat signal would
play an important role in the diagnosis of cardiac arrhythmias. This paper employed a …

[PDF][PDF] Investigation of a novel technique for decline curve analysis in comparison with the conventional models

M Bahari, A Rostami, E Joonaki, M Ali - Int. J. Comput. Appl., 2014 - academia.edu
It has been proven that the common Arps empirical decline curve analysis (DCA) to be an
extensively used tool for many years, however, it has much error in production forecasting. In …

Classification of Electroencephalography Bio Signals Based on Motor Imagery

R Balachandran, I Elamvazuthi, AA Aziz… - 2024 International …, 2024 - ieeexplore.ieee.org
Stroke is known to be a cause of multitude impairments, including abnormalities in physical,
motor, and emotional capabilities in stroke patients. Studies have demonstrated that …

Evaluation of genetic algorithm as learning system in rigid space interpretation

BK Singh - Handbook of research on novel soft computing …, 2014 - igi-global.com
Genetic Algorithm (GA)(a structured framework of metaheauristics) has been used in various
tasks such as search optimization and machine learning. Theoretically, there should be …

Analysis and Modeling of Electroencephalography Bio Signals based on Motor Imagery for Rehabilitation

Z Lee, I Elamvazuthi, AA Aziz… - … of Science and …, 2024 - ieeexplore.ieee.org
The goal of rehabilitation is to aid individuals in their recovery from any resulting physical,
cognitive, and functional deficits of stroke. However, the use of traditional rehabilitation often …