Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities

Z Jan, F Ahamed, W Mayer, N Patel… - Expert Systems with …, 2023 - Elsevier
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

Multi-objective optimization of comprehensive performance enhancement for proton exchange membrane fuel cell based on machine learning

Y Zhou, K Meng, W Liu, K Chen, W Chen, N Zhang… - Renewable Energy, 2024 - Elsevier
The comprehensive performance of proton exchange membrane fuel cells depends on
operating conditions. This paper innovatively uses the Pearson correlation coefficient to …

Multi-objective optimization of active suspension system in electric vehicle with In-Wheel-Motor against the negative electromechanical coupling effects

Z Li, L Zheng, Y Ren, Y Li, Z Xiong - Mechanical Systems and Signal …, 2019 - Elsevier
This paper presents a multi-objective optimization control method of active suspension
system for solving the negative vibration issues emerged from In-Wheel-Motor (IWM) in …

A hybrid method of modified NSGA-II and TOPSIS to optimize performance and emissions of a diesel engine using biodiesel

MM Etghani, MH Shojaeefard, A Khalkhali… - Applied Thermal …, 2013 - Elsevier
Highlights•Effects of castor oil biodiesel blends have been examined on the diesel engine
performance and emissions.•Modeling engine performance and emissions by artificial …

Multi-objective optimization of the suspension system parameters of a full vehicle model

GG Fossati, LFF Miguel, WJP Casas - Optimization and Engineering, 2019 - Springer
The development of a methodology that enables the optimization of passive suspension
system parameters, providing a group of optimal solutions, could be an excellent approach …

Hybrid machine learning approach integrating GMDH and SVR for heavy metal concentration prediction in dust samples

J Piri, MRR Kahkha, O Kisi - Environmental Science and Pollution …, 2024 - Springer
In agricultural regions prone to dust storms, heavy metal contamination of soil and crops
from airborne particulates poses significant risks to food safety and public health. This study …

An approach for minimizing the number of objective functions in the optimization of vehicle suspension systems

G Papaioannou, D Koulocheris - Journal of Sound and Vibration, 2018 - Elsevier
In recent studies, the suspension parameters of a vehicle model are estimated using multi-
objective optimization procedures with genetic algorithms in order to overcome the well …

Enhancing the ride comfort of off-road vibratory rollers with seat suspension using optimal quasi-zero stiffness

D Ni, R Jiao, V Nguyen, J Zhang - Proceedings of the …, 2023 - journals.sagepub.com
The research proposes a new design of the seat suspension equipped with the quasi-zero
stiffness (QZS) and hydraulic mount (HM) of the cab isolation system to improve the ride …

Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II

S Chen, T Shi, D Wang, J Chen - Journal of Mechanical Science and …, 2015 - Springer
The RMS of weighted acceleration, wheel dynamic load and suspension dynamic deflection
are determined as evaluation indices of vehicle ride comfort performance. A multi-body …

Multi-objective optimization of a hybrid electromagnetic suspension system for ride comfort, road holding and regenerated power

M Ataei, E Asadi, A Goodarzi… - Journal of Vibration …, 2017 - journals.sagepub.com
This paper reports work on the optimization and performance evaluation of a hybrid
electromagnetic suspension system equipped with a hybrid electromagnetic damper. The …