Dr Oduro's Profile

Research and Publications

Research Interests

  1. Automobile Engineering
  2. Machine Design
  3. Computer Numerical Control (CNC) and Automation
  4. Vehicular Emission Modelling and Data Analysis
  5. Heat Transfer and Thermodynamics
  6. Artificial Neural Networks system
  7. Data Mining system
  8. Mechatronics system

Publications

  1. Oduro, S.D., Ha, Q.P., & Duc, H. (2016). Vehicular Emissions Prediction with CART-BMARS Hybrid Models. Transportation Research Part D:Transport and Environment, 49(1), 188-202. https://doi.org/10.1016/j.trd.2016.09.012
  2. Oduro, S.D., Metia, S., Hong, H., Duc, H., & Ha, Q.P. (2015). Multivariate Adaptive Regression Splines Models for Vehicular Emission Prediction, Visualization in Engineering, 3 (1), 1- 13. DOI10.1186/s40327-015-0024-4
  3. Metia, S., Oduro, S.D., Duc, H., & Ha, Q.P. (2015). Inverse Air Pollution Emission and Prediction using Extended Fractional Kalman Filtering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (5), 2051-2063. DOI: 10.1109/JSTARS.2016.2541958.
  4. Oduro, S.D., Owusu-Ansah, P.A. & Agyamang, A. (2013). An Experimental Analysis of Brake Efficiency Using four Fluids in a Disc Brake System, Research Journal of Applied Sciences, Engineering and Technology, 5(4), 1302-1308.
  5. Oduro, S.D., Owusu-Ansah, P.A. & Agyamang, A. (2013). A Mathematical Model for Predicting the Effects of Tyre Pressure on Fuel Consumption, Research Journal of Applied Sciences, Engineering and Technology, vol. 6(1) 123-129.
  6. Oduro, S.D., & Ampofo, J. (2012). Effect of Radiator Fins Blockage by Clay Soil on the Engine Cooling Temperature, International Journal of Engineering and Technology, 2(6) 1002-1010.
  7. Oduro, S.D. (2012). Brake Failure and its Effect on Road Traffic Accident in Kumasi Metropolis, Ghana, International Journal of Science and Technology, 1 (9), 448 – 452.
  8. Oduro, S.D. (2012). Assessing the effect of blockage of dirt on engine radiator in Cooling System, International Journal of Automotive Engineering, 2 (3) 163-171.
  9. Peer Reviewed Conference Papers
  10. Oduro, S.D., Metia, S., Duc, H. & Ha, Q.P. (July, 2015). Predicting Carbon Monoxide Emissions with Multivariate Adaptive Regression Splines (MARS) and Artificial Neural Networks (ANNs), The 32nd International Symposium on Automation and Robotics in Construction and Mining, Oulu,
  11. Finland, 912-920.
  12. Oduro, S.D., Metia, S., Hong, H., Duc, H. & Ha, Q.P. (June, 2014). Prediction of NOX Vehicular Emissions using On-Board Measurement and Chassis Dynamometer Testing, The 31st International Symposium on Automation and Robotics in Construction and Mining, Sydney, Australia, 584-591.
  13. Metia, S., Oduro, S.D., Duc, H. & Ha, Q.P. (December, 2014). Air Pollution Prediction Using Matern Function Based Extended Fractional Kalman Filtering, The 13th International Conference on Control, Automation, Robotics & Vision Marina Bay Sands, Singapore, 758-763.
  14. Oduro, S.D., Metia, S., Duc, H. & Ha, Q.P. (September, 2013). CO2 vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables, The 2nd International Conference on Control, Automation and Information Sciences, Nha Trang, Vietnam, 158-163.
  15. Metia, S., Oduro, S.D., Duc, H., Azzi, M. & Ha, Q.P. (2013). Environmental Time Series Analysis and Estimation with Extended Kalman Filtering, First International Conference on Artificial Intelligence, Modeling & Simulation, Kita Kinabalu, Malaysis, 235-240.
View Dr Oduro's R&P Details

Oduro, S.D., Metia, S., Duc, H., & Ha, Q.P. (2016). Inverse Air Pollution Emission and Prediction using Extended Fractional Kalman Filtering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, (5), 2051-2063. DOI: 10.1109/jstars.2016.2541958. http://ieeexplore.ieee.org/iel7/4609443/4609444/07446282.pdf.

 

2. Oduro, S.D., Metia, S., Hong, H., Duc, H., & Ha, Q.P. (2015). Multivariate Adaptive Regression Splines Models for Vehicular Emission Prediction. Visualization in Engineering, 3, 1-13. DOI: doi10.1186/s40327-015-0024-4. http://link.springer.com/article/10.1186/s40327-015-0024-4.

 

Oduro, S.D., Ha, Q.P. & Duc, H. (2016). Vehicular emissions prediction with CART-BMARS hybrid models. Elsevier Transportation Research Part D, 49, (1), 188-202. DOI: https://doi.org/10.1016/j.trd.2016.09.012. http://https://www.journals.elsevier.com/transportation-research-part-d-transport-and-enviro.

 

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