Performance evaluation of artificial intelligence with particle swarm optimization (PSO) to predict treatment water plant DBPs (haloacetic acids)

AI Okoji, CN Okoji, OS Awarun - Chemosphere, 2023 - Elsevier
The prevention of water-borne diseases requires the disinfection of water consumed.
Disinfection by-products, however, are an increasing concern, and they require advanced …

Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln

AI Okoji, AN Anozie, JA Omoleye, AE Taiwo… - … Science and Pollution …, 2023 - Springer
The increasing demand for cement due to urbanization growth in Africa countries may result
in an upsurge of pollutants associated with its production. One major air pollutant in cement …

Impact of Thermosonication Treatment on Parsley Juice: Particle Swarm Algorithm (PSO), Multiple Linear Regression (MLR), and Response Surface Methodology …

D Dulger Altıner, S Yıkmış, MA Şimşek… - ACS …, 2024 - ACS Publications
Thermosonication (TS), also known as ultrasonic-assisted heat treatment, is gaining
attention in liquid product processing due to its ability to improve quality parameters and can …

[HTML][HTML] Comparative analysis of adaptive neuro-fuzzy inference system (ANFIS) and RSRM models to predict DBP (trihalomethanes) levels in the water treatment …

CN Okoji, AI Okoji, MS Ibrahim, O Obinna - Arabian Journal of Chemistry, 2022 - Elsevier
Since disinfection by-products are a growing concern, it is important to know their quantities
in water treatment plants before they are released to the public. As a result, there is a …

[HTML][HTML] Evaluating the thermodynamic efficiency of the cement grate clinker cooler process using artificial neural networks and ANFIS

AI Okoji, AN Anozie, JA Omoleye - Ain Shams Engineering Journal, 2022 - Elsevier
The energy recovery of the grate cooler is a significant part of reducing production costs and
tackling the environmental challenges of the cement industry. ASPEN Plus and neural …

Comparative evaluation of bioethanol fermentation process parameters using RSM, ANN and ANFIS

AE Taiwo, P Musonge - Biofuels, Bioproducts and Biorefining, 2023 - Wiley Online Library
The drive for renewable energy as an alternative to fossil fuel is on the increase globally.
Modeling a renewable energy process is crucial for increasing process monitoring and …

Process Integration of Hydrogen Production Using Steam Gasification and Water‐Gas Shift Reactions: A Case of Response Surface Method and Machine Learning …

AI Okoji, AE Taiwo, JB Adeoye… - … Journal of Energy …, 2024 - Wiley Online Library
An equilibrium‐based steady‐state simulator model that predicts and optimizes hydrogen
production from steam gasification of biomass is developed using ASPEN Plus software and …

Effect of cement type and water-to-cement (w/c) ratio on characteristics of lightweight mortars produced with pumice: a comparative study on calcium aluminate (rapid …

M Nodehi, O Gencel, E Erdogmus, ME Karagöz… - Innovative Infrastructure …, 2024 - Springer
Over the last few decades there has been a growing interest in the use of blended or hybrid
rapid hardening cements with optimized performance for use in a variety of applications …

Comparative evaluation of bioethanol fermentation process parameters using RSM, ANN and ANFIS.

P Musonge - 2023 - hungu-mut.figshare.com
The drive for renewable energy as an alternative to fossil fuel is on the increase globally.
Modeling a renewable energy process is crucial for increasing process monitoring and …

Assessment of the thermodynamics efficiency of a cement vertical raw mill using Aspen Plus and artificial intelligence models

AI Okoji, AN Anozie, JA Omoleye - 2023 - researchsquare.com
Globally, cement plants are striving to improve their energy efficiency. Therefore, it is critical
for cement plant operations to increase the monitoring and control of a vertical raw mill …