Machine learning algorithms for modeling groundwater level changes in agricultural regions of the US

S Sahoo, TA Russo, J Elliott… - Water Resources …, 2017 - Wiley Online Library
Climate, groundwater extraction, and surface water flows have complex nonlinear
relationships with groundwater level in agricultural regions. To better understand the relative …

Geometrical patterns of time variable Kadomtsev–Petviashvili (I) equation that models dynamics of waves in thin films with high surface tension

HF Ismael, TA Sulaiman, HR Nabi, W Mahmoud… - Nonlinear …, 2023 - Springer
Lump solutions are a prominent option for numerous models of nonlinear evolution. The
intention of this research is to explore the variable coefficients Kadomtsev–Petviashvili …

Model predictive control of pH neutralization processes: A review

AW Hermansson, S Syafiie - Control Engineering Practice, 2015 - Elsevier
The paper provides a review of the different approaches of Model Predictive Control (MPC)
to deal with the nonlinearities and transient behavior associated with pH and its control …

A state-of-the-art review of heat recovery steam generators and waste heat boilers

S Arpit, PK Das - Energy Efficiency, 2023 - Springer
Industrial processes are often accompanied by energy losses. These energy losses can be
in the form of exhaust gas or effluents occurring at different temperature levels. All these …

[图书][B] Introduction to nanoscience and nanotechnology

GL Hornyak, HF Tibbals, J Dutta, JJ Moore - 2008 - api.taylorfrancis.com
The maturation of nanotechnology has revealed it to be a unique and distinct discipline
rather than a specialization within a larger field. Its textbook cannot afford to be a chemistry …

The di-and tricalcium silicate dissolutions

L Nicoleau, A Nonat, D Perrey - Cement and Concrete Research, 2013 - Elsevier
In this study, a specially designed reactor connected to an ICP spectrometer enabled the
careful determination of the dissolution rates of C3S, C2S and CaO, respectively, over a …

A novel layer by layer (LBL) approach for the fabrication of highly transparent and conducting thin films for flexible electronics, based on poly (3, 4 …

R Singh, A Kumar - 2012 International Conference on …, 2012 - ieeexplore.ieee.org
We report on a novel layer by layer (LBL) process for the solution processable thin films,
directly on substrates, based on poly (3, 4-ethylenedioxythiophene), PEDOT, via in-situ …

Advances of metaheuristic algorithms in training neural networks for industrial applications

HY Chong, HJ Yap, SC Tan, KS Yap, SY Wong - Soft Computing, 2021 - Springer
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

[图书][B] Fundamentals of nanotechnology

GL Hornyak, JJ Moore, HF Tibbals, J Dutta - 2018 - taylorfrancis.com
WINNER 2009 CHOICE AWARD OUTSTANDING ACADEMIC TITLE! Nanotechnology is no
longer a subdiscipline of chemistry, engineering, or any other field. It represents the …

Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach

M Bagheri, SA Mirbagheri, Z Bagheri… - Process Safety and …, 2015 - Elsevier
Prediction of sludge bulking is a matter of growing importance around the world. Sludge
volume index (SVI) should be monitored to predict sludge bulking for a wastewater treatment …