A review on robust M-estimators for regression analysis

DQF De Menezes, DM Prata, AR Secchi… - Computers & Chemical …, 2021 - Elsevier
Regression analysis constitutes an important tool for investigating the effect of explanatory
variables on response variables. When outliers and bias errors are present, the weighted …

Designing and optimizing deviated wellbore trajectories using novel particle swarm algorithms

A Atashnezhad, DA Wood, A Fereidounpour… - Journal of Natural Gas …, 2014 - Elsevier
Wellbore trajectory design is a determinant issue in drilling engineering. This paper
introduces a new stochastic approach for drilling trajectory design applying continuous …

The accuracy and efficiency of GA and PSO optimization schemes on estimating reaction kinetic parameters of biomass pyrolysis

Y Ding, W Zhang, L Yu, K Lu - Energy, 2019 - Elsevier
Reaction kinetic parameters estimation of biomass pyrolysis is a relatively difficult
optimization problem due to the complexity of pyrolysis model. Two common heuristic …

Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm

C Li, J Zhou - Energy Conversion and Management, 2011 - Elsevier
Parameter identification of hydraulic turbine governing system (HTGS) is crucial in precise
modeling of hydropower plant and provides support for the analysis of stability of power …

Supervised nonlinear dynamic system for soft sensor application aided by variational auto-encoder

B Shen, Z Ge - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
Dynamic data modeling has been attracting much attention from researchers and has been
introduced into the probabilistic latent variable model in the process industry. It is a huge …

Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach

A Shafiei, MA Ahmadi, SH Zaheri, A Baghban… - The Journal of …, 2014 - Elsevier
For the design and development of new processes of gas sweetening using ionic liquids
(ILs), as promising candidates for amine solutions, an amazing model to predict the solubility …

Plate-fin heat exchanger optimal design for industry employing both single and multi-objective chaotic opposition based Kho-Kho algorithm

S Mohapatra, DK Das, AK Singh - Chemical Engineering Science, 2024 - Elsevier
Manufacturers of heat exchangers are constantly looking for new and better designs
because it is essential to the preparation of any engineering gadget, like a Plate-fin heat …

Simultaneous robust data reconciliation and gross error detection through particle swarm optimization for an industrial polypropylene reactor

DM Prata, M Schwaab, EL Lima, JC Pinto - Chemical Engineering Science, 2010 - Elsevier
In a previous study, a nonlinear dynamic data reconciliation procedure (NDDR) based on
the particle swarm optimization (PSO) method was developed and validated in line and in …

Connectionist intelligent model estimates output power and torque of stirling engine

MH Ahmadi, MA Ahmadi, SA Sadatsakkak… - … and Sustainable Energy …, 2015 - Elsevier
Stirling engine is an Environmental friendly heat engine which can reduce CO 2 emission
through combustion process. Various criteria should be considered for designing and …

A computational intelligence scheme for prediction equilibrium water dew point of natural gas in TEG dehydration systems

MA Ahmadi, R Soleimani, A Bahadori - Fuel, 2014 - Elsevier
Raw natural gases are frequently saturated with water during production operations. It is
crucial to remove water from natural gas using dehydration process in order to eliminate …