Modestus O. Okwu
University of Johannesburg
Mathematical optimizationEngineeringTraffic flowResponse surface methodologyArtificial intelligenceAutomotive engineeringSwarm behaviourAdaptive neuro fuzzy inference systemMaterials scienceProduction (economics)Traffic congestionMATLABMathematicsEnvironmental scienceComputer scienceArtificial neural networkPulp and paper industryFuzzy logicBiogas
64Publications
8H-index
165Citations
Publications 83
Newest
#1Uchechi F. Ukaegbu (UJ: University of Johannesburg)H-Index: 2
#2Lagouge K. Tartibu (UJ: University of Johannesburg)H-Index: 8
Last. Isaac O. Olayode (UJ: University of Johannesburg)H-Index: 3
view all 4 authors...
Machine learning applications have gained popularity over the years as more advanced algorithms like the deep learning (DL) algorithm are being employed in signal identification, classification and detection of cracks or faults in structures. The DL algorithm has broader applications compared to other machine learning systems and it is a creative algorithm capable of processing data, creating pattern, interpreting information due to its high level of accuracy in pattern recognition under stochas...
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#1Uchechi F. Ukaegbu (UJ: University of Johannesburg)H-Index: 2
#2Lagouge K. Tartibu (UJ: University of Johannesburg)H-Index: 8
Last. Isaac O. Olayode (UJ: University of Johannesburg)H-Index: 3
view all 4 authors...
Organizations invest heavily during the installation of pipeline facilities which spans across extensive geographical linkage. Also, the issue of pipeline protection and safety must be taken into consideration to have a free flow of oil and gas at inbound and outbound locations. This has necessitated the need for routine inspection and monitoring of pipelines for structural integrity, continued safe operations, and also to monitor intruders/potential trespassers at such locations. This research ...
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#1Isaac O. Olayode (UJ: University of Johannesburg)H-Index: 3
#2Lagouge K. TartibuH-Index: 8
Last. Modestus O. OkwuH-Index: 8
view all 3 authors...
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This research is focused on methodical appraisal and long lasting use of feed stocks for manufacture of biodiesel. Biodiesel is a good substitute to petroleum diesel because of its environmentally friendly constituents. They are renewable, sustainable with high oxygen content. Production of biodiesel form various feedstock’s using a suitable and affordable catalyst have also been reported in this review. They are produced by the reaction of a free fatty acid with an alcohol using a suitable cata...
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The ongoing search for a more sustainable, renewable, and affordable fuel source has necessitated the quest and search for a better diesel. Biodiesel, an environmentally friendly diesel, has been able to solve many of the issues that have arisen as a result of the use of fossil fuels. They are mostly synthesized by transesterification of a FFA with an alcohol employing an appropriate catalyst. This study examines the use of jansa seed oil as a low-cost feedstock for biodiesel production. Transes...
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Recently, manufacturing companies aspire to implement reverse logistics in response to stakeholders’ requirements to reduce negative environmental consequences, improve organizational sustainable performance and ultimately increase competitive advantage. However, implementing reverse logistics can be impeded by a criteria framework, and necessitates the careful analysis of how such criteria interact with each other in the presence of uncertainty. Thus, in this study, we propose an integrated mul...
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#1Isaac O. OlayodeH-Index: 3
#2Lagouge K. TartibuH-Index: 8
Last. Alessandro SeverinoH-Index: 10
view all 4 authors...
The accurate and effective prediction of the traffic flow of vehicles plays a significant role in the construction and planning of signalized road intersections. The application of artificially intelligent predictive models in the prediction of the performance of traffic flow has yielded positive results. However, much uncertainty still exists in the determination of which artificial intelligence methods effectively resolve traffic congestion issues, especially from the perspective of the traffi...
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#1Isaac O. OlayodeH-Index: 3
#2Lagouge K. TartibuH-Index: 8
Last. Uchechi F. UkaegbuH-Index: 2
view all 4 authors...
Source
Thermoacoustic refrigerators are emerging devices that make use of meaningful high-pressure sound waves to induce cooling. Despite the accelerated progress in the field of thermoacoustics, knowledge of the heat transfer process in the heat exchange of the devices is still developing. This work applies different soft computing techniques, namely, an artificial neural network trained by particle swarm optimisation (ANN-PSO), adaptive neuro-fuzzy inference system (ANFIS), and artificial neural netw...
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