Y. Ziggah

发表

Improved progressive morphological filter for digital terrain model generation from airborne lidar data.

Youjian Hu, Zhenyang Hui, Yao Yevenyo Ziggah, 2017, Applied optics.

Fractal Analysis and Interpretation of Temporal Patterns of TSP and PM10 Mass Concentration over Tarkwa, Ghana

Yao Yevenyo Ziggah, S. Ndur, F. Krampah, 2021, Earth Systems and Environment.

A hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction

S. Relvas, Eric Ofori-Ntow Jnr, Y. Ziggah, 2022, Results in Engineering.

Modelling of arsenic concentration in multiple water sources: A comparison of different machine learning methods

Yao Yevenyo Ziggah, A. Ewusi, I. Ahenkorah, 2022, Groundwater for Sustainable Development.

Application of Multivariate Adaptive Regression Spline (MARS) Approach for 2D Coordinate Transformation

P. Laari, Y. Y. Ziggah, Y. Ziggah, 2018 .

Adjustment of DGPS data using artificial intelligence and classical least square techniques

Yao Yevenyo Ziggah, Y. Y. Ziggah, I. Yakubu, 2018 .

Accurate Forecast Improvement Approach for Short Term Load Forecasting Using Hybrid Filter-Wrap Feature Selection

Yukun Bao, Yao Yevenyo Ziggah, Samuel Atuahene, 2019, INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION.

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

Susana Relvas, Yao Yevenyo Ziggah, Eric Ofori-Ntow Jnr, 2021 .

Principal component analysis (PCA) based hybrid models for the accurate estimation of reservoir water saturation

Yao Yevenyo Ziggah, Xiangfeng Zhu, Chuanbo Shen, 2020, Comput. Geosci..

A new flowing bottom hole pressure prediction model using M5 prime decision tree approach

Yao Yevenyo Ziggah, Solomon Adjei Marfo, Y. Y. Ziggah, 2021, Modeling Earth Systems and Environment.

Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana

Clement Kweku Arthur, V. Temeng, Y. Y. Ziggah, 2021, Modeling Earth Systems and Environment.

A novel hybrid predictive maintenance model based on clustering, smote and multi-layer perceptron neural network optimised with grey wolf algorithm

Yao Yevenyo Ziggah, Nana Kena Frempong, Albert Buabeng, 2021, SN Applied Sciences.

Landfill Lifespan Estimation: A Case Study

Y. Y. Ziggah, C. B. Boye, Thomas Akyen, 2017 .

Blast-Induced Noise Level Prediction Model Based on Brain Inspired Emotional Neural Network

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2021 .

A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2020 .

Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2020, International Journal of Mining, Reclamation and Environment.

Novel approach to predicting blast-induced ground vibration using Gaussian process regression

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2019, Engineering with Computers.

An Improved Skewness Balancing Filtering Algorithm Based on Thin Plate Spline Interpolation

Jing Wu, Youjian Hu, Penggen Cheng, 2019, Applied Sciences.

A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2020, SN Applied Sciences.

A Novel Hybrid Technique of Integrating Gradient-Boosted Machine and Clustering Algorithms for Lithology Classification

Yao Yevenyo Ziggah, Xiangfeng Zhu, Solomon Asante-Okyere, 2019, Natural Resources Research.

LEAST SQUARES SUPPORT VECTOR MACHINE MODEL FOR COORDINATE TRANSFORMATION

Yao Yevenyo Ziggah, Prosper Basommi Laari, Youjina Hu, 2019, Geodesy and cartography.

Forecasting of Horizontal Gas Well Production Decline in Unconventional Reservoirs using Productivity, Soft Computing and Swarm Intelligence Models

Perpetual Hope Akwensi, Yao Yevenyo Ziggah, Y. Y. Ziggah, 2018, Natural Resources Research.

Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration

Clement Kweku Arthur, V. Temeng, Y. Y. Ziggah, 2019, Journal of Sustainable Mining.

Improved total organic carbon convolutional neural network model based on mineralogy and geophysical well log data

Yao Yevenyo Ziggah, Y. Y. Ziggah, Solomon Asante-Okyere, 2021 .

Capability of self-organizing map neural network in geophysical log data classification: Case study from the CCSD-MH

Heping Pan, Yao Yevenyo Ziggah, Ahmed Amara Konaté, 2015 .

Predictive Maintenance Model Based on Multisensor Data Fusion of Hybrid Fuzzy Rough Set Theory Feature Selection and Stacked Ensemble for Fault Classification

Y. Y. Ziggah, N. K. Frempong, A. Buabeng, 2022, Mathematical Problems in Engineering.

Generalized regression and feed forward back propagation neural networks in modelling flammability characteristics of polymethyl methacrylate (PMMA)

Yao Yevenyo Ziggah, Y. Y. Ziggah, Solomon Asante-Okyere, 2018, Thermochimica Acta.

Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole

Heping Pan, Yao Yevenyo Ziggah, Ahmed Amara Konaté, 2014, Studia Geophysica et Geodaetica.

Impact of data partitioning in groundwater level prediction using artificial neural network for multiple wells

Yao Yevenyo Ziggah, Y. Y. Ziggah, A. Ewusi, 2022, International Journal of River Basin Management.

A hybrid groundwater level prediction model using signal decomposition and optimised extreme learning machine

Y. Y. Ziggah, A. Ewusi, J. Kuma, 2021, Modeling Earth Systems and Environment.

Altimetry‐Derived Gravity Gradients Using Spectral Method and Their Performance in Bathymetry Inversion Using Back‐Propagation Neural Network

Xiaoyun Wan, R. F. Annan, Y. Ziggah, 2023, Journal of Geophysical Research: Solid Earth.

GPS Monitoring Landslide Deformation Signal Processing using Time-series Model

Yao Yevenyo Ziggah, P. Wu, F. M. Huang, 2016 .

for Evaluating Hurst Parameters and Fractal Dimensions of Surveyed Dataset of Tailings Dam

Y. Y. Ziggah, I. Yakubu, C. Yeboah, 2019 .

Coordinate Transformation between Global and Local Datums Based on Artificial Neural Network with K-Fold Cross-Validation: A Case Study, Ghana

Yao Yevenyo Ziggah, Hu Youjian, Prosper Basommi Laari, 2019, Earth Sciences Research Journal.

Performance evaluation of artificial neural networks for natural terrain classification

Perpetual Hope Akwensi, Yao Yevenyo Ziggah, E. T. Brantson, 2021, Applied Geomatics.

THE NEED FOR 3D LASER SCANNING DOCUMENTATION FOR SELECT NIGERIA CULTURAL HERITAGE SITES

Yao Yevenyo Ziggah, Odutola Christian Amans, Wu Beiping, 2013 .

Empirical study on the integration of total least squares and radial basis function neural network for coordinate transformation

B. Kumi-Boateng, Y. Ziggah, 2020 .

2 D Cadastral Coordinate Transformation using extreme learning machine technique

P. Laari, Y. Y. Ziggah, Y. Issaka, 2018 .

A hybrid intelligent prediction model of autoencoder neural network and multivariate adaptive regression spline for uniaxial compressive strength of rocks

Yao Yevenyo Ziggah, M. Affam, Y. Ziggah, 2023, Modeling Earth Systems and Environment.

A New Long-Term Photovoltaic Power Forecasting Model Based on Stacking Generalization Methodology

Y. Y. Ziggah, S. Relvas, Eric Ofori-Ntow Jnr, 2022, Natural Resources Research.

A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines

Yao Yevenyo Ziggah, I. Ahenkorah, F. Majeed, 2022, Geosystems and Geoenvironment.

Performance Evaluation of Training Algorithms in Backpropagation Neural Network Approach to Blast-Induced Ground Vibration Prediction

Victor Amoako Temeng, Yao Yevenyo Ziggah, Clement Kweku Arthur, 2020 .

Application of dimensionality reduction technique to improve geophysical log data classification performance in crystalline rocks

Heping Pan, Yao Yevenyo Ziggah, Huolin Ma, 2015 .

A Risk-Free Discount Rate Prediction Model for Mineral Project Evaluation Using a Hybrid Discrete Wavelet Transform and Artificial Neural Network

Y. Y. Ziggah, D. Mireku-Gyimah, R. Gyebuni, 2022, Mathematical Problems in Engineering.

Automatic morphological filtering algorithm for airborne lidar data in urban areas.

Leyang Wang, Zhenyang Hui, Yao Yevenyo Ziggah, 2019, Applied optics.

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

Feng Li, Yukun Bao, Yao Yevenyo Ziggah, 2018, Energies.

A Short-Term Stock Exchange Prediction Model Using Box-Jenkins Approach

Y. Y. Ziggah, Paul Boye, Y. Ziggah, 2020, Journal of Applied Mathematics and Physics.

A new synergetic model of neighbourhood component analysis and artificial intelligence method for blast-induced noise prediction

Yao Yevenyo Ziggah, Clement Kweku Arthur, V. Temeng, 2023, Modeling Earth Systems and Environment.

Evaluating the Performance of Extreme Learning Machine Technique for Ore Grade Estimation

D. Mireku-Gyimah, Yao Yevenyo Ziggah, Clara Akalanya Abuntori, 2021, Journal of Sustainable Mining.