Modestus O. Okwu

Orcid: 0000-0002-7761-9659

According to our database1, Modestus O. Okwu authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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On csauthors.net:

Bibliography

2024
Predicting the Impact of Cognitive Load and Psychological Well-Being Among Workers in Manufacturing Environments.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

2023
Performance analysis of stirling engine using computational intelligence techniques (ANN & Fuzzy Mamdani Model) and hybrid algorithms (ANN-PSO & ANFIS).
Neural Comput. Appl., 2023

Investigating the Accuracy of Artificial Neural Network Models in Predicting Surface Roughness in Drilling Processes.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022
ANFIS Model for Cost Analysis in a Dual Source Multi-Destination System.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), 2022

Development of a novel integrated hopper briquette machine for sustainable production of pellet fuels.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), 2022

Sustainable supplier selection in the oil and gas industry: An integrated multi-criteria decision making approach.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), 2022

2021
Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Studies in Computational Intelligence 927, Springer, ISBN: 978-3-030-61110-1, 2021

Development of a Light-Weight Unmanned Aerial Vehicle for Precision Agriculture.
Sensors, 2021

Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular Biodigester.
Proceedings of the Advances in Computational Intelligence, 2021

Deep learning application in diverse fields with plant weed detection as a case study.
Proceedings of the icARTi '21: International Conference on Artificial Intelligence and its Applications, Virtual Event, Mauritius, December 9, 2021

Integrating Unmanned Aerial Vehicle and Deep Learning Algorithm for Pipeline Monitoring and Inspection in the Oil and Gas Sector.
Proceedings of the icARTi '21: International Conference on Artificial Intelligence and its Applications, Virtual Event, Mauritius, December 9, 2021

2019
Application of Artificial Neural Network Model for Cost Optimization in a Single-Source, Multi-destination System with Non-deterministic Inputs.
Proceedings of the Advances in Computational Intelligence, 2019


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