Search Results - "Okoji, Anthony"

Performance evaluation of artificial intelligence with particle swarm optimization (PSO) to predict treatment water plant DBPs (haloacetic acids) by Okoji, Anthony I., Okoji, Comfort N., Awarun, Olorunfemi S.

“…The prevention of water-borne diseases requires the disinfection of water consumed. Disinfection by-products, however, are an increasing concern, and they…”
Get full text

Comparative analysis of adaptive neuro-fuzzy inference system (ANFIS) and RSRM models to predict DBP (trihalomethanes) levels in the water treatment plant by Okoji, Comfort N., Okoji, Anthony I., Ibrahim, Musa S., Obinna, Okpoko

“…[Display omitted] Since disinfection by-products are a growing concern, it is important to know their quantities in water treatment plants before they are…”
Get full text

Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln by Okoji, Anthony I., Anozie, Ambrose N., Omoleye, James A., Taiwo, Abiola E., Babatunde, Damilola E.

“…The increasing demand for cement due to urbanization growth in Africa countries may result in an upsurge of pollutants associated with its production. One…”
Get full text

Evaluation of optimization techniques for predicting exergy efficiency of the cement raw meal production process by Okoji, Anthony I., Anozie, Ambrose N., Omoleye, James A.

“…In cement production, raw meal preparation and energy consumption are extremely important for cost reduction. However, few studies have examined the…”
Get full text

Techno-economic analysis of Cellulase Production by Trichoderma reesei in Submerged Fermentation Processes using a Process Simulator by Taiwo, Abiola Ezekiel, Tom-James, Andykan, Falowo, Olayomi Abiodun, Okoji, Anthony, Adeyi, Oladayo, Olalere, Abayomi O., Eloka-Eboka, Andrew

“…•The cellulase unit production cost (UPC) for the Fed-batch process route is comparable to that of batch process with standard deviation of 0.56.•Batch process…”
Get full text

Evaluating the thermodynamic efficiency of the cement grate clinker cooler process using artificial neural networks and ANFIS by Anthony I. Okoji, Ambrose N. Anozie, James A. Omoleye

“…The energy recovery of the grate cooler is a significant part of reducing production costs and tackling the environmental challenges of the cement industry…”
Get full text

Energetic assessment of a precalcining rotary kiln in a cement plant using process simulator and neural networks by Okoji, Anthony I., Anozie, Ambrose N., Omoleye, James A., Taiwo, Abiola E., Osuolale, Funmilayo N.

“…[Display omitted] •This study assessed the energetic efficiency of a precalcining rotary kiln process in a cement industry.•Energetic efficiency was estimated…”
Get full text

Process Integration of Hydrogen Production Using Steam Gasification and Water-Gas Shift Reactions: A Case of Response Surface Method and Machine Learning Techniques by Okoji, Anthony Ikechukwu, Taiwo, Abiola Ezekiel, Adeoye, John Busayo, Musonge, Paul, Makinde, David Olamide, Okoji, Comfort Nneka

“…An equilibrium-based steady-state simulator model that predicts and optimizes hydrogen production from steam gasification of biomass is developed using ASPEN…”
Get full text