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Dr. Yao Yevenyo Ziggah

yyziggah@umat.edu.gh


Position

Senior Lecturer

Department

Geomatic Engineering

Research Interest

  • Artificial Intelligence Application in Engineering
  • Coordinate Transformation
  • Crustal Deformation
  • Height Systems
  • Geoid and Gravity Field Modelling




Dr Yao Yevenyo Ziggah currently works at the Department of Geomatic Engineering, University of Mines and Technology, Tarkwa-Ghana. His research interests include Engineering application of Artificial Intelligence, coordinate transformation, height systems, gravity field, geodetic deformation, LiDAR and solid waste management.

2017
PhD, Geodesy and Survey Engineering
China University of Geosciences (Wuhan)
2013
MEng, Geodesy and Survey Engineering
China University of Geosciences (Wuhan)
2008
BSc (Hons), Geomatic Engineering
Kwame Nkrumah University of Science and Technology
2014--2017
China University of Geosciences (Wuhan)
2010--2013
China University of Geosciences (Wuhan)
2004--2008
Kwame Nkrumah University of Science and Technology (KNUST)
2024---
European Geosciences Union (EGU)
2023---
Asia Computational Intelligence Society
2020---
International Association of Geodesy (IAG)
2020---
International Association for Mathematical Geosciences (IAMG)
2020---
West African Institute of Mining, Metallurgy and Petroleum (WAIMM)
2018---
International Association of Engineers (IAENG)
2023
Vice Chancellor’s Outstanding Performance Award
2020
Erasmus+ Mobility Program, Project No. 2019-1-HR01-KA107-060762, 2020
2015
Second Best Student Paper, Geographic Information System, Geodesy and Survey Engineering conference, Changsha, China
2014
Chinese Government Scholarship
2014
UMaT Staff Development Fund
2010
Chinese Government Scholarship
2010
Ghana Government Scholarship
2021---
Senior Lecturer
2017--2021
Lecturer
2014--2017
Assistant Lecturer
  1. Boye, C. B., Boye, P. and Ziggah, Y. Y. (2024), "Comparative Study of Suspended Sediment Load Prediction Models Based on Artificial Intelligence Methods", Artificial Intelligence and Applications, Vol. 2, No. 2, pp. 155–168.

  2. Baffoe, P. E. and Ziggah, Y. Y. (2024), "Accuracy Assessment of Dimensionality Reduction Techniques in Novel Approach of Precise Noise Levels Prediction and Mapping", American Journal of Neural Networks and Applications, Vol. 10, No. 1, 15-25.

  3. Koomson, S. E. K., Temeng, V. A. and Ziggah, Y. Y. (2024), "A Novel Approach in Predicting Dump Truck Tyre Life in a Mine Based on Multilayer Perceptron Neural Network Optimised with Particle Swarm Optimisation", Mining, Metallurgy & Exploration, https://doi.org/10.1007/s42461-024-00954-y ,

  4. Nsiah, R. A., Mantey, S. and Ziggah, Y. Y. (2024), "Assessing the contribution of RGB VIs in improving building extraction from RGB-UAV images", Mersin Photogrammetry Journal, Vol. 6, No. 1, pp. 9-21.

  5. Krampah, F., Amegbey, N, Ndur, S., Ziggah, Y. Y. and Hopke, P. K. (2024), "A Novel four-stage hybrid intelligent model for particulate matter prediction", Modeling Earth Systems and Environment, https://doi.org/10.1007/s40808-023-01928-7 ,

  6. Osei, P. A., Brew, L., Amankwah, R. K., Ziggah, Y. Y. and Owusu, C. (2024), "Gold cyanide leaching recovery prediction model based on neighbourhood component analysis and artificial intelligence technique", Modeling Earth Systems and Environment, https://doi.org/10.1007/s40808-024-01970-z ,

  7. Seidu, J., Ewusi, A., Kuma, J. S. Y., Ziggah, Y. Y. and Hans-Jurgen, V. (2023), "Impact of data partitioning in groundwater level prediction using artificial neural network for multiple wells", International Journal of River Basin Management, Vol. 21, No. 4, pp. 639–650.

  8. Buabeng, A., Simons, A., Frempong, N. K. and Ziggah, Y. Y. (2023), "Hybrid intelligent predictive maintenance model for multiclass fault classification", Soft Computing, https://doi.org/10.1007/s00500-023-08993-1 , pp. 1-22.

  9. Ziggah, Y. Y., Temeng, V. A. and Arthur, C. K. (2023), "A new synergetic model of neighbourhood component analysis and artificial intelligence method for blast‑induced noise prediction", Modeling Earth Systems and Environment, Vol. 9, No. 3, pp. 3483–3502.

  10. Asare, E.N., Affam, M. and Ziggah, Y. Y. (2023), "A hybrid intelligent prediction model of autoencoder neural network and multivariate adaptive regression spline for uniaxial compressive strength of rocks", Modeling Earth Systems and Environment, Vol. 9, No. 3, pp. 3579–3595.

  11. Wan, X., Annan, R. F. and Ziggah, Y. Y. (2023), "Altimetry-Derived Gravity Gradients Using Spectral Method and Their Performance in Bathymetry Inversion Using Back-Propagation Neural Network", Journal of Geophysical Research: Solid Earth, Vol. 128, No. 2, pp. 1-21.

  12. Yakubu, I., Ziggah, Y. Y. and Gyamera E. A. (2023), "Appraisal of Relativistic Effects on GNSS Receiver Positioning", International Journal of Physical and Mathematical Sciences, Vol. 17, No. 3, pp. 41-46.

  13. Asante, C. Y., Ayer, J. and Ziggah, Y. Y. (2023), "Comparison between the Azimuths of Astronomical and Geodetic Coordinates in Ghana", Journal of the Ghana Institution of Engineering, Vol. 23, No. 1, pp. 44-49.

  14. Asante-Okyere, S., Marfo, S. A. and Ziggah, Y. Y. (2023), "Estimating Total Organic Carbon (TOC) of Shale Rocks from their Mineral Composition using Stacking Generalization Approach of Machine Learning", Upstream Oil and Gas Technology, Vol. 11 , pp. 1-7.

  15. Ziggah, Y. Y. and Issaka, Y. (2023), "Estimation of Dam Piezometric Water Level using New Hybrid Intelligent Models for Dam Safety Assessment", International Journal of Energy and Water Resources, https://doi.org/10.1007/s42108-023-00252-1 ,

  16. Asare, E. N., Affam, M. and Ziggah, Y. Y. (2023), "A stacked generalisation methodology for estimating the uniaxial compressive strength of rocks", Smart Construction and Sustainable Cities, Vol. 1, No. 1, pp. 1-16.

  17. Ofori-Ntow, E. J. and Ziggah, Y. Y. (2023), "Electricity demand forecasting based on feature extraction and optimized backpropagation neural network", e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol. 6 , pp. 1-13.

  18. Koomson, S. E. K., Temeng, V. A. and Ziggah, Y. Y. (2023), "Appraisal of artificial intelligence techniques for the prediction of on-site dump truck tyre operating hours", International Journal of Mining and Mineral Engineering, Vol. 14, No. 2, pp. 157-179.

  19. Poku, M. B., Yakubu, I. and Ziggah, Y. Y. (2023), "Assessing the Performance of Machine Learning Algorithms for Urban Land Cover Classification using Multispectral Satellite Imagery", Ghana Journal of Technology, Vol. 7, No. 2, pp. 10-18.

  20. Nsiah, R. A, Mantey, S. and Ziggah, Y. Y. (2023), "Automatic Extraction of Buildings From UAV-Derived Orthophotos Using a Deep Neural Network Approach", Ghana Journal of Technology, Vol. 7, No. 2, pp. 19-24.

  21. Mensah, N. K., Nunoo, S., Abdel-Fatao, H. and Ziggah, Y. Y. (2023), "Enhancing Predictive Performance of Non-Intrusive Load Monitoring Through Systematic Feature Extraction", Ghana Journal of Technology, Vol. 7, No. 2, pp. 35-39.

  22. Ibrahim, B., Ewusi, A., Ziggah, Y. Y. and Ahenkorah, I (2023), "A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources", International Journal of Environmental Science and Technology, https://doi.org/10.1007/s13762-023-05343-4, , pp. 1-18.

  23. Zhenyang H., Shuanggen, J., Penggen C. and Ziggah, Y. Y. (2023), "FGA: An Allometric Model for Revealing the Relationship Between Fractal Geometry and AGB Estimation", IEEE Transactions on Geoscience and Remote Sensing, Vol. 61 , pp. 1-12.

  24. Nsiah, R. A., Mantey, S. and Ziggah, Y. Y. (2023), "Building segmentation from UAV orthomosaics using unet-resnet-34 optimised with grey wolf optimisation algorithm", Smart Construction and Sustainable Cities, Vol. 1 , pp. 1-18.

  25. Temeng, V. A., Ziggah, Y. Y. and Arthur, C. K. (2022), "Suitability Assessment of Different Vector Machine Regression Techniques for Blast-Induced Ground Vibration Prediction in Ghana", Modelling Earth Systems and Environment, Vol. 8, No. 1, pp. 897-909.

  26. Adjei-Marfo, S., Asante-Okyere, S. and Ziggah, Y. Y. (2022), "A New Flowing Bottom Hole Pressure Prediction Model Using M5 Prime Decision Tree Approach", Modeling Earth Systems and Environment, Vol. 8 , pp. 2065-2073.

  27. Ziggah, Y. Y., Issaka Y. and Laari, P. B. (2022), "Evaluation of different artificial intelligent methods for predicting dam piezometric water level", Modeling Earth Systems and Environment, Vol. 8 , pp. 2715-2731.

  28. Jiang, L., Mensah, R. A., Asante-Okyere, S., Försth, M., Xu, Q., Ziggah, Y. Y., Restás, A., Berto, F., Das, O. (2022), "Developing an artificial intelligent model for predicting combustion and flammability properties", Fire and Materials, Vol. 46, No. 5, pp. 830-842.

  29. Buabeng, A., Simons, A., Frempong, N. K. and Ziggah, Y. Y. (2022), "An Intelligent Predictive Maintenance Framework with Autonomous Feature Selection based on Hybrid Fuzzy Set and Rough Set Theories for Multiclass Fault Classification", Ghana Journal of Technology, Vol. 6, No. 2, pp. 9-19.

  30. Akpah, S., Alese, B. K. and Ziggah, Y. Y. (2022), "Object Detection in Artisanal Small-Scale Gold Mining Environments using a Modified YOLOv4 Algorithm", International Journal of Computer Applications, Vol. 183, No. 50, pp. 36-49.

  31. Akpah, S., Ziggah, Y. Y. and Mireku-Gyimah, D. (2022), "Assessing the suitability of convolutional auto encoder as an unsupervised tool for image classification in artisanal small-scale gold mining environment", International Journal of Computing and Artificial Intelligence, Vol. 3, No. 1, pp. 26-40.

  32. Majeed, F., Ziggah, Y. Y., Kusi-Manu, C., Ibrahim, B. and Ahenkorah, I. (2022), "A Novel Artificial Intelligence Approach for Regolith Geochemical Grade Prediction using Multivariate Adaptive Regression Splines", Geosystems and Geoenvironment, Vol. 1, No. 2, pp. 1-16.

  33. Ibrahim, B., Ewusi, A., Ahenkorah, I. and Ziggah, Y. Y. (2022), "Modelling of Arsenic Concentration in Multiple Water Sources: A Comparison of Different Machine Learning Methods", Ground Water for Sustainable Development, Vol. 17 , pp. 1-17.

  34. Ofori-Ntow, E. J, Ziggah, Y. Y., Rodrigues, M. J. and Relvas, S. (2022), "A Hybrid Chaotic-Based Discrete Wavelet Transform and Aquila Optimisation Tuned-Artificial Neural Network Approach for Wind Speed Prediction", Results in Engineering, Vol. 14 , pp. 1-12.

  35. Seidu, J., Ewusi, A., Kuma, J. S. Y., Ziggah, Y. Y. and Hans-Jurgen, V. (2022), "A Hybrid Groundwater Level Prediction Model using Signal Decomposition and Optimised Extreme Learning Machine", Modeling Earth System and Environment, Vol. 8 , pp. 3607–3624.

  36. Ofori-Ntow, E. J, Ziggah, Y. Y., Rodrigues, M. J. and Relvas, S. (2022), "A New Long-Term Photovoltaic Power Forecasting Model Based on Stacking Generalization Methodology", Natural Resources Research, Vol. 31 , pp. 1265–1287.

  37. Buah, M. A., Temeng, V. A., Addo, S. A. and Ziggah, Y. Y. (2022), "Application of Extreme Value Theorem in Modelling Oil Consumption of Organization of Petroleum Exporting Countries (OPEC)", International Journal Business Forecasting and Marketing Intelligence, Vol. 7, No. 3, pp. 259-276.

  38. Ayer, J. Asante, C. Y., Ziggah, Y. Y. and Doku, E. T. (2022), "Grid, Geodetic and Astronomical Azimuth Conversions in Ghana", World Journal of Geomatics and Geosciences, Vol. 2 , pp. 24-37.

  39. Buabeng, A., Simons, A., Frempong, N. K. and Ziggah, Y. Y. (2022), "Predictive Maintenance Model Based on Multi-Sensor Data Fusion of Hybrid Fuzzy Rough Set Theory Feature Selection and Stacked Ensemble for Fault Classification", Mathematical Problems in Engineering, Vol. 2022, Article ID 4372567, pp. 1-24.

  40. Gyebuni, R., Ziggah, Y. Y. and Mireku-Gyimah, D. (2022), "A Risk-Free Discount Rate Prediction Model for Mineral Project Evaluation Using a Hybrid Discrete Wavelet Transform and Artificial Neural Network", Mathematical Problems in Engineering, Vol. 2022, Article ID 9984679, pp. 1-13.

  41. Gyebuni, R., Ziggah, Y. Y. and Mireku-Gyimah, D. (2022), "A Novel Risk-Adjusted Discount Rate Methodology for Mine Economic Evaluation", International Journal of Mining and Mineral Engineering, Vol. 13, No. 2, pp. 1-13.

  42. Abuntori, C.A., Al-Hassan, S., Mireku-Gyimah, D. and Ziggah, Y. Y. (2021), "Evaluating the Performance of Extreme Learning Machine Technique for Ore Grade Estimation", Journal of Sustainable Mining, Vol. 20, No. 2, pp. 56-71.

  43. Asante-Okyere, S., Ziggah, Y. Y. and Adjei-Marfo, S. (2021), "Improved Total Organic Carbon Convolutional Neural Network Model Based on Mineralogy and Geophysical Well Log Data", Unconventional Resources, Vol. 1 , pp. 1-8.

  44. Boye, P. and Ziggah, Y. Y. (2021), "Diesel Fuel Price Prediction Model Based on Multivariate Adaptive Regression Splines Approach", International Journal of Economics and Statistics, Vol. 22, No. 2, pp. 1-13.

  45. Buabeng, A., Simons, A., Frimpong N. K. and Ziggah, Y. Y. (2021), "A Hybrid Predictive Maintenance Model Based on Clustering, SMOTE and Multi-Layer Perceptron Neural Network Optimised with Grey Wolf Algorithm", SN Applied Sciences, Vol. 3, No. 5, pp. 1-24.

  46. Akwensi, P.H., Brantson, E.T., Niipele, J.N. and Ziggah, Y. Y. (2021), "Performance Evaluation of Artificial Neural Networks for Natural Terrain Classification", Applied Geomatics, Vol. 13, No. 3, pp. 453-465.

  47. Hui Z., Jin, S., Wang, L., Ziggah, Y. Y., Li, D. and Hu, Y. (2021), "Individual Tree Extraction from Terrestrial LiDAR Point Clouds Based on Transfer Learning and Gaussian Mixture Model Separation", Remote Sensing, Vol. 13, No. 2, pp. 1-32.

  48. Ofori-Ntow J. E., Ziggah, Y. Y. and Relvas, S. (2021), "Hybrid Ensemble Intelligent Model Based on Wavelet Transform, Swarm Intelligence and Artificial Neural Network for Electricity Demand Forecasting", Sustainable Cities and Society, Vol. 66 , pp. 1-13.

  49. Hui Z., Li, Z., Cheng P., Yang, B., Ziggah, Y. Y. and Fan, J. (2021), "Building Extraction from Airborne LiDAR Data Based on Multi-Constraint Graph Segmentation", Remote Sensing, Vol. 13, No. 18, pp. 1-21.

  50. Hui, Z., Jin, S., Xia, Y., Wang, L., Ziggah, Y. Y. and Cheng, P. (2021), "Wood and Leaf Separation from Terrestrial LiDAR Point Clouds Based on Mode Points Evolution", ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 178 , pp. 219-239.

  51. Krampah, F., Amegbey, N., Ndur, S., Ziggah, Y. Y. and Hopke, P. K. (2021), "Fractal Analysis and Interpretation of Temporal Patterns of TSP and PM10 Mass Concentration over Tarkwa, Ghana", Earth Systems and Environment, Vol. 5 , pp. 635–654.

  52. Boye, P. and Ziggah, Y. Y. (2021), "Assessing the predictive strength of different radial basis function interpolation techniques for diesel fuel price prediction", International Journal of Business Forecasting and Marketing Intelligence, Vol. 7, No. 1, pp. 13-22.

  53. Temeng, V. A., Ziggah, Y. Y. and Arthur, C. K. (2021), "Blast-induced noise level prediction model based on Brain Inspired Emotional Neural Network", Journal of Sustainable Mining, Vol. 20, No. 1, pp. 28-38.

  54. Kumi-Boateng, B. and Ziggah, Y. Y. (2020), "Empirical Study on the Integration of Total Least Squares and Radial Basis Function Neural Network for Coordinate Transformation", Ghana Journal of Science, Technology and Development, Vol. 7, No. 1, pp. 38-57.

  55. Kumi-Boateng, B. and Ziggah, Y. Y. (2020), "Feasibility of using Group Method of Data Handling (GMDH) Approach for Horizontal Coordinate Transformation", Geodesy and Cartography, Vol. 46, No. 2, pp. 55-66.

  56. Kumi-Boateng, B. and Ziggah, Y. Y. (2020), " A 3D Procrustean Approach to Transform WGS84 Coordinates to Ghana War Office 1926 Reference Datum", Ghana Mining Journal, Vol. 20, No. 1, pp. 1-10.

  57. Kumi-Boateng, B. and Ziggah, Y. Y. (2020), "Toward the Fourth Industrial Revolution: Testing the Capability of Machine Learning in Predicting Normal Gravity", REVCAD Journal of Geodesy and Cadastre, Vol. 28 , pp. 147-166.

  58. Arthur, C.K., Temeng, V.A. and Ziggah, Y. Y. (2020), "A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction", SN Applied Science, Vol. 2, No. 11, pp. 1-23.

  59. Arthur, C.K., Temeng, V.A. and Ziggah, Y. Y. (2020), "Performance Evaluation of Training Algorithms in Backpropagation Neural Network Approach for Blast-Induced Ground Vibration Prediction", Ghana Mining Journal, Vol. 20, No. 1, pp. 20-33.

  60. Temeng, V.A., Ziggah, Y. Y. and Arthur, C.K. (2020), "A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network", International Journal of Mining Science and Technology, Vol. 30, No. 5, pp. 683-689.

  61. Boye, P. and Ziggah, Y. Y. (2020), "A Short-Term Stock Exchange Prediction Model Using Box-Jenkins Approach", Journal of Applied Mathematics and Physics, Vol. 8, No. 5, pp. 766-779.

  62. Arthur, C.K., Temeng, V.A. and Ziggah, Y. Y. (2020), "Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction", International Journal of Mining, Reclamation and Environment, Vol. 34, No. 3, pp. 198-222.

  63. Arthur, C.K., Temeng, V.A. and Ziggah, Y. Y. (2020), "Novel approach to predicting blast-induced ground vibration using Gaussian process regression", Engineering with Computers, Vol. 36, No. 1, pp. 29-42.

  64. Asante-Okyere, S., Shen, C., Ziggah, Y. Y., Rulegeya, M.M. and Zhu, X. (2020), "A Novel Hybrid Technique of Integrating Gradient-Boosted Machine and Clustering Algorithms for Lithology Classification", Natural Resources Research, Vol. 29, No. 4, pp. 2257-2273.

  65. Asante-Okyere, S., Shen, C., Ziggah, Y. Y., Rulegeya, M.M. and Zhu, X. (2020), "Principal Component Analysis (PCA) Based Hybrid Models for the Accurate Estimation of Reservoir Water Saturation", Computers and Geosciences, Vol. 145 , pp. 1-11.

  66. Ziggah, Y. Y., Youjian, H., Yakubu, I. and Laari, P.B. (2019), "Least Squares Support Vector Machine Model for Coordinate transformation", Geodesy and Cartography, Vol. 45, No. 1, pp. 16-27.

  67. Ziggah, Y. Y., Youjian, H., Tierra, A.R. and Laari, P.B. (2019), "Coordinate transformation between global and local data based on artificial neural network with K-fold cross-validation in Ghana", Earth Sciences Research Journal, Vol. 23, No. 1, pp. 67-77.

  68. Arthur, C.K., Temeng, V.A. and Ziggah, Y. Y. (2019), "Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration", Journal of Sustainable Mining, Vol. 18, No. 4, pp. 287-296.

  69. Gonçalves, T.M., Zhong, X., Ziggah, Y. Y. and Dwamena, B. Y. (2019), "Simulating Urban Growth Using Cellular Automata Approach (SLEUTH) - A Case Study of Praia city, Cabo Verde", IEEE Access, Vol. 7, No. 1, pp. 156430-156442.

  70. Brantson, E.T., Ju, B., Ziggah, Y. Y., Akwensi, P.H., Sun, Y., Wu, D. and Addo, B.J. (2019), "Forecasting of Horizontal Gas Well Production Decline in Unconventional Reservoirs using Productivity, Soft Computing and Swarm Intelligence Models", Natural Resources Research, Vol. 28, No. 3, pp. 717-756.

  71. Shen, C., Asante-Okyere, S., Ziggah, Y. Y., Wang, L. and Zhu, X. (2019), "Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-processing Techniques", Energies, Vol. 12, No. 8, pp. 1-16.

  72. Yakubu, I., Ziggah, Y. Y. and Yeboah, C. (2019), "Evaluating Hurst Parameters and Fractal Dimensions of Surveyed Dataset of Tailings Dam Embankment", International Journal of Geotechnical and Geological Engineering, Vol. 13, No. 4, pp. 223-227.

  73. Atuahene, S., Bao, Y., Ziggah, Y. Y. and Gyan, P. (2019), "Artificial Neural Network Based Artificial Intelligent Algorithms for Accurate Monthly Load Forecasting of Power Consumption", London Journal of Research in Science: Natural and Formal, Vol. 19, No. 2, pp. 1-15.

  74. Atuahene, S., Bao, Y., Gyan, P. and Ziggah, Y. Y. (2019), "Accurate Forecast Improvement Approach for Short Term Load Forecasting Using Hybrid Filter-Wrap Feature Selection", International Journal of Management Science and Business Administration, Vol. 5, No. 2, pp. 37-49.

  75. Cheng, P., Hui, Z., Xia, Y., Ziggah, Y. Y., Hu, Y. and Wu, J. (2019), " An Improved Skewness Balancing Filtering Algorithm Based on Thin Plate Spline Interpolation", Applied Sciences, Vol. 9, No. 1, pp. 1-15.

  76. Hui, Z., Wang, L., Ziggah, Y. Y., Cai, S. and Xia, Y. (2019), "Automatic Morphological Filtering Algorithm for Airborne LiDAR Data in Urban Areas", Applied Optics, Vol. 58, No. 4, pp. 1164-1173.

  77. Hui, Z., Li, D., Jin, S., Ziggah, Y. Y., Wang, L. and Youjian, H. (2019), " Automatic DTM Extraction from Airborne LiDAR Based on Expectation-Maximization", Optics & Laser Technology, Vol. 112 , pp. 43-55.

  78. Hui, Z., Jin, S., Chen, P., Ziggah, Y. Y., Wang, L., Wang, Y. and Youjian, H. (2019), "An Active Learning Method for DEM Extraction from Airborne LiDAR Point Clouds", IEEE Access, Vol. 7 , pp. 89366-89378.

  79. Ziggah, Y. Y., Yakubu, I., Laari, P.B. and Hui, Z. (2018), "2D Cadastral Coordinate Transformation Using Extreme Learning Machine Technique", Geodesy and Cartography (The Journal of Committee on Geodesy of Polish Academy of Sciences), Vol. 67, No. 2, pp. 321-343.

  80. Ziggah, Y.Y. and Laari, P.B. (2018), "Application of Multivariate Adaptive Regression Spline Approach for 2D Coordinate Transformation", Ghana Journal of Technology, Vol. 2, No. 2, pp. 50-62.

  81. Yakubu, I., Ziggah, Y.Y. and Peprah, M.S. (2018), "Adjustment of DGPS Data using Artificial Intelligence and Classical Least Square Techniques", Journal of Geomatics, Vol. 12, No. 1, pp. 13-20.

  82. Yakubu, I., Ziggah, Y.Y. and Baafi, K.A. (2018), "Prediction of Tidal Effect in Crustal Deformation Monitoring: A Geodetic Perspective", Ghana Journal of Technology, Vol. 2, No. 2, pp. 63-69.

  83. Asante-Okyere, S., Xu, Q., Mensah, R.A., Jin, C. and Ziggah, Y. Y. (2018), "Generalized Regression and Feed Forward Backpropagation Neural Networks in Modelling Flammability Characteristics of Polymethyl Methacrylate (PMMA)", Thermochimica Acta, Vol. 66 , pp. 79-92.

  84. Atuahene, S., Bao, Y., Ziggah, Y.Y., Gyan, P. and Li, F. (2018), "Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet-Particle Swarm Optimization-Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change", Energies, Vol. 11, No. 10, pp. 1-19.

  85. Asante-Okyere, S., Shen, C., Ziggah, Y. Y., Rulegeya, M.M. and Zhu, X. (2018), "Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity", Energies, Vol. 13, No. 12, pp. 1-13.

  86. Ziggah, Y.Y. and Yakubu, I. (2017), "Alternative Methods of Determining Translation Parameters for Geocentric Translation Model Applications", Ghana Journal of Technology, Vol. 2, No. 1, pp. 38-50.

  87. Ziggah, Y.Y., Youjian, H., Laari, P.B. and Hui, Z. (2017), "Novel Approach to Improve Geocentric Translation Model Performance using Artificial Neural Network Technology", Boletim de Ciências Geodésicas, Vol. 23, No. 1, pp. 213-233.

  88. Ziggah, Y.Y., Ayer, J., Laari, P.B. and Frimpong, E. (2017), " Coordinate Transformation using Featherstone and Vaníček Proposed Approach – A Case Study of Ghana Geodetic Reference Network", Geoplaninng: Journal of Geomatics and Planning, Vol. 4, No. 1, pp. 19-26.

  89. Kumi-Boateng, B. and Ziggah, Y. Y. (2017), "Horizontal coordinate transformation using artificial neural network technology- A case study of Ghana geodetic reference network ", Journal of Geomatics, Vol. 11, No. 1, pp. 1-11.

  90. Peprah, M.S., Ziggah, Y. Y. and Yakubu, I. (2017), " Performance Evaluation of the Earth Gravitational Model 2008 (EGM2008) – A Case Study", South African Journal of Geomatics, Vol. 6, No. 1, pp. 47-72.

  91. Konate, A.A., Pan, H., Ma, H., Qin, Z., Guo, B., Ziggah, Y.Y.,Kounga, C.L.M., Khan, N., Tounkara, F. (2017), "Use of spectral gamma ray as a lithology guide for fault rocks: A case study from the Wenchuan Earthquake Fault Scientific Drilling project Borehole 4 (WFSD-4)", Applied Radiation and Isotopes, Vol. 128 , pp. 75-85.

  92. Akyen, T., Boye, C.B. and Ziggah, Y.Y. (2017), "Landfill Lifespan Estimation: A Case Study", Ghana Mining Journal, Vol. 17, No. 2, pp. 1-5.

  93. Yakubu, I., Ziggah, Y.Y. and Asafo-Adjei, D. (2017), "Appraisal of ANN and ANFIS for predicting Vertical Total Electron Content (VTEC) in the Ionosphere for GPS Observations", Ghana Mining Journal, Vol. 17, No. 2, pp. 12-16.

  94. Zhenyang, H., Beiping, W., Youjian, H. and Ziggah, Y. Y. (2017), "Improved Progressive Morphological Filter for Digital Terrain Model Generation from Airborne Lidar Data", Applied Optics, Vol. 56, No. 34, pp. 9356-9367.

  95. Ziggah, Y.Y., Youjian, H., Tierra, A., Konate, A.A. and Hui, Z. (2016), "Performance evaluation of artificial neural networks for planimetric coordinate transformation—a case study, Ghana", Arabian Journal of Geosciences, Vol. 9, No. 17, pp. 1-16.

  96. Ziggah, Y.Y., Youjian, H., Yu, X. and Laari, P.B. (2016), "Capability of Artificial Neural Network for Forward Conversion of Geodetic Coordinates ( ϕ , λ , h ) to Cartesian Coordinates (X, Y, Z)", Mathematical Geosciences, Vol. 48, No. 6, pp. 687-721.

  97. Ziggah, Y.Y., Yakubu, I. and Kumi-Boateng, B. (2016), "Analysis of Methods for Ellipsoidal Height Estimation – The Case of a Local Geodetic Reference Network", Ghana Mining Journal, Vol. 16, No. 2, pp. 1 - 9.

  98. Kumi-Boateng, B. and Ziggah, Y. Y. (2016), " A Hybrid Model to Predict Cartesian Planimetric Coordinates", Journal of Geodesy and Geomatics Engineering, Vol. 4, No. 1, pp. 48-61.

  99. Kumi-Boateng, B. and Ziggah, Y. Y. (2016), "Accuracy Assessment of Cartesian (X, Y, Z) to Geodetic Coordinates (φ, λ, h) Transformation Procedures in Precise 3D Coordinate Transformation – A Case Study of Ghana Geodetic Reference Network", Journal of Geosciences and Geomatics, Vol. 4, No. 1, pp. 1-7.

  100. Annan, R. F., Ziggah, Y. Y., Ayer, J. and Odutola, C.A. (2016), "A Hybridized Centroid Technique for 3D Molodensky-Badekas Coordinate Transformation in the Ghana Geodetic Reference Network using Total Least Squares Approach", South African Journal of Geomatics, Vol. 5, No. 3, pp. 269-284.

  101. Annan, R. F., Ziggah, Y. Y., Ayer, J. and Odutola, C.A. (2016), " Accuracy assessment of heights obtained from Total station and Level Instrument using Total Least Squares and Ordinary Least Squares Methods", Geoplaninng: Journal of Geomatics and Planning, Vol. 3, No. 2, pp. 87-92.

  102. Zhenyang, H., Youjian, H., Shuanggen J. and Ziggah, Y. Y. (2016), "Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization", ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 118 , pp. 22-36.

  103. Zhenyang, H., Youjian, H., Ziggah, Y.Y. and Xianyu, Y. (2016), "An Improved Morphological Algorithm for Filtering Airborne LiDAR Point Cloud Based on Multi-Level Kriging Interpolation", Remote Sensing, Vol. 8, No. 35, pp. 1-16.

  104. Huang, F.M., Wu, P. and Ziggah, Y. Y. (2016), "GPS Monitoring Landslide Deformation Signal Processing using Time-series Model", International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 9, No. 3, pp. 321-332.

  105. Laari, P.B., Ziggah, Y. Y., Annan, R. F. (2015), "Determination of 3D Transformation Parameters for the Ghana Geodetic Reference Network using Ordinary Least Squares and Total Least Squares Techniques", International Journal of Geomatics and Geosciences, Vol. 7, No. 3, pp. 245-261.

  106. Konate, A.A., Pan, H., Ma, H., Cao, X., Ziggah, Y. Y., Oloo, M. and Khan, N. (2015), "Application of Dimensionality Reduction to Improve Geophysical Log Data Classification Performance in Crystalline Rocks", Journal of Petroleum Science and Engineering, Vol. 133 , pp. 633-645.

  107. Konate, A.A., Pan, H., Fang, S., Asim, S., Ziggah, Y.Y., Deng, C. and Khan, N. (2015), "Capability of Self-Organizing Map Neural Network in Geophysical Log Data Classification: Case Study from CCSD-MH", Journal of Applied Geophysics, Vol. 118 , pp. 37-46.

  108. Konate, A.A., Pan, H.,Khan, N. and Ziggah, Y. Y. (2015), "Prediction of Porosity in Crystalline Rocks Using Artificial Neural Networks: An Example from the Chinese Continental Scientific Drilling Main Hole", Studia Geophysica et Geodaetica, Vol. 59, No. 1, pp. 113-136.

  109. Ziggah, Y.Y., Youjian, H., Odutola, C.A. and Nguyen, T. T. (2013), "Accuracy Assessment of Centroid Computation Methods in Precise GPS Coordinates Transformation Parameters Determination-A Case Study, Ghana", European Scientific Journal, Vol. 9, No. 15, pp. 200-220.

  110. Ziggah, Y.Y., Youjian, H., Odutola, C.A. and Fan, D.L. (2013), "Determination of GPS Coordinate Transformation Parameters of Geodetic Data between Reference Datums-A Case Study of Ghana Geodetic Reference Network", International Journal of Engineering Sciences & Research Technology,, Vol. 2, No. 4, pp. 956-971.

  111. Odutola, C.A., Beiping, W. and Ziggah, Y. Y. (2013), " Assessing Vertical Accuracy of SRTM Ver 4.1 and ASTER GDEM Ver 2 Using Differential GPS Measurements – Case Study in Ondo State Nigeria", International Journal of Scientific and Engineering Research, Vol. 4, No. 12, pp. 1-9.

  112. Odutola, C.A., Beiping, W. and Ziggah, Y. Y. (2013), "Testing Simple Regression Model for Coordinate Transformation by Comparing Its Predictive Result for Two Regions", Academic Research Journal, Vol. 4, No. 6, pp. 540-550.

  113. Odutola, C.A., Beiping, W., Ziggah, Y. Y. and Abdul, D.O. (2013), " The Need for 3D Laser Scanning Documentation for Select Nigeria Cultural Heritage Sites", European Scientific Journal, Vol. 9, No. 24, pp. 75-91.

  114. Lo-Karija, M.K., Shihua, Q. and Ziggah, Y. Y. (2013), "Correlation among Municipal Solid Waste Pollution, Fecal Coliform Water Pollution and Water Borne Diseases in Juba/South Sudan", British Journal of Applied Science & Technology, Vol. 3, No. 4, pp. 1120-1143.

  115. Ziggah, Y. Y., Youjian, H., Odutola, C.A. and Kumi-Boateng, B. (2012), "Regression Models for 2-Dimensional Cartesian Coordinates Prediction: A Case Study at University of Mines and Technology (UMaT), Tarkwa-Ghana", International Journal of Computer Science & Engineering Survey, Vol. 3, No. 6, pp. 61-79.

  1. Ofori-Ntow, J. E., Ziggah, Y. Y., Rodrigues, J. M. and Relvas, S. (2022), "Comparative Study of Two Nature Inspired Algorithms in Optimized ANN for Wind Speed Forecasting", 2nd Forum of Revolutions in Renewable Energy in 21st Century (21-22 March 2022), Budapest.
  2. Apraku, E.K., Ziggah, Y. Y. and Kumi-Boateng, B. (2022), "Accuracy Assessment of Artificial Neural Networks as Viable Techniques for Predicting Open Pit Mine Wall Deformation", Proceeding of the 7th UMaT Biennial International Mining and Mineral Conference, Tarkwa, Ghana, 1-9.
  3. Ziggah, Y.Y., Peprah, M.S., Yakubu, I. and Laari, P.B. (2018), "Predicting Open Pit Mine Geodetic Deformations using Artificial Neural Networks", Ghana Institution of Surveyors, Land Surveying Division Seminar 2018 at Ho, Volta Region, Ghana, 5-7 September, 1-26.
  4. Ziggah, Y.Y., Casimir, N., Yakubu, I. and Laari, P.B. (2018), "Fractal Characteristic Analysis of Geodetic Deformation Monitoring Data: An Example from Open Pit Mine in Ghana", Ghana Institution of Surveyors, Land Surveying Division Seminar 2018 at Ho, Volta Region, Ghana, 5-7 September, 1-14.
  5. Vunase, G. Boye, C.B. and Ziggah, Y. Y. (2018), "Predicting Sea Level Anomaly along the Coast of Ghana Using Artificial Neural Network Approach", 5th UMaT Biennial International Mining and Mineral Conference, 237-241.
  6. Yakubu, I., Ziggah, Y. Y. and Tenadu, K. (2018), "Education for Spatial Planning and Design: Integrating Surveying and Mapping Sciences as a Foundation", FIG Congress 2018, Embracing our Smart World where the continents connect: enhancing the geospatial maturity of societies, Turkey, May 6-11, 1-11.
  7. Hui, Z., Cheng, P., Ziggah, Y. Y. and Nie, Y. (2018), "A Threshold-Free Algorithm for Airborne LIDAR Point Clouds Based on Expectation-Maximization", The International Archives of Photogrammetry, Remote Sensing and Spatial Sciences, Volume XLII-3, 2008, ISPRS TC III Mid-Term Symposium "Developments, Technolgies and Applications in Remote Sensing, 7-10 May, Beijing, China, 607-610
  8. Ziggah, Y. Y. and Laari, P.B. (2017), "Investigating the Performance of Multivariate Adaptive Regression Spline (MARS) Approach in 2D Coordinate Transformation", Ghana Institution of Surveyors, Land Surveying Division Seminar 2017, At Ghana-India Kofi Annan Centre of Excellence in ICT, Accra, 1-13.
  9. Ziggah, Y. Y., Akwensi, P. H. and Annan, R. F. (2016), "Plane Coordinate Transformation Using General Least Squares Approach – A Case Study of Ghana Geodetic Reference Network", 4th UMaT Biennial International Mining and Mineral Conference, 68-77.
  10. Hui, Z., Hu, Y. and Ziggah, Y.Y. (2016), "Automatic Building Extraction from Airborne LiDAR Point Cloud Based on Mean Shift Segmentation", In: GEOBIA 2016: Solutions and Synergies, 14 September 2016 - 16 September 2016, University of Twente, Faculty of Geo-Information and Earth Observation (ITC), Netherlands, 1-2.
  11. Nguyen, T.T., Nguyen, Q.M., Liu, X.G., Ziggah, Y. Y. (2012), "3D Object Model Reconstruction Based on Laser Scanning Point Cloud Data", International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences (GIS-IDEAS),16-20 October 2012, HoChiMinh, Vietnam.
  12. Akyen, T., Boye, C.B. and Ziggah, Y.Y. (), "Municipal Solid Waste Estimation and Landfill Lifespan Prediction- A Case Study", 4th UMaT Biennial International Mining and Mineral Conference, 127-133.
1. Arthur, C. K., Bhatawdekar, R. M., Temeng, V. A., Agyei, G. and Ziggah, Y. Y.(2024), Application of artificial intelligence in predicting blast-induced ground vibration In: Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering, pp. 251-267.
2. Brantson, E. T., Iyiola, Z. O., Ziggah, Y. Y., Mensah, A. O., Otchere, D. A., Abakah-Paintsil, E. E. and Duodu, E. K.(2023), Carbon Dioxide Low Salinity Water Alternating Gas (CO2 LSWAG) Oil Recovery Factor Prediction in Carbonate Reservoir Using Supervised Machine Learning Models In: Data Science and Machine Learning Applications in Subsurface Engineering, pp. 1-34.
3. Ofori-Ntow E. J, Ziggah, Y. Y., Rahmani-Andebili, M., Rodrigues, M. J. and Relvas, S. (2022), A Novel Three Stage Short-Term Photovoltaic Prediction Approach Based on Neighbourhood Component Analysis and ANN Optimized with PSO (NCA-PSO-ANN) In: Rahmani-Andebili, M. (eds) Applications of Artificial Intelligence in Planning and Operation of Smart Grids, Power Systems, Springer, Cham, pp. 75-95.
4. Yao Yevenyo Ziggah, Hu Youjian, Xiao Benlin (2013), Determination of GPS Coordinates Transformation Parameters: A Case Study of Ghana Geodetic Reference Network LAP LAMBERT Academic Publishing, Saarbrucken, Germany, ISBN-13 :‎ 978-3659391156, pp. 1-296.
1. Principles of Geodesy
2. Advanced Geodesy
3. Survey Measurements
4. Land Surveying
5. Applied Optics
6. Survey Computation and Adjustment II
7. Spatial Statistics
8. Computer Programming
9. Global Navigation Satellite Systems (GNSS)