Search Results - "Yevenyo, Yao Ziggah"

Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability by Asante-Okyere, Solomon, Shen, Chuanbo, Yevenyo Ziggah, Yao, Moses Rulegeya, Mercy, Zhu, Xiangfeng

“…In this paper, a new predictive model based on Gaussian process regression (GPR) that does not require iterative tuning of user-defined model parameters has…”
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Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques by Shen, Chuanbo, Solomon Asante-Okyere, Yao, Yevenyo Ziggah, Wang, Liang, Zhu, Xiangfeng

“…Although the group method of data handling (GMDH) is a self-organizing metaheuristic neural network capable of developing a classification function using…”
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Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph Segmentation by Hui, Zhenyang, Li, Zhuoxuan, Cheng, Penggen, Ziggah, Yao Yevenyo, Fan, JunLin

“…Building extraction from airborne Light Detection and Ranging (LiDAR) point clouds is a significant step in the process of digital urban construction. Although…”
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A Reliable DBH Estimation Method Using Terrestrial LiDAR Points through Polar Coordinate Transformation and Progressive Outlier Removal by Zhenyang Hui, Lei Lin, Shuanggen Jin, Yuanping Xia, Yao Yevenyo Ziggah

“…Diameter at breast height (DBH) is a crucial parameter for forest inventory. However, accurately estimating DBH remains challenging due to the noisy and…”
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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 by Atuahene, Samuel, Bao, Yukun, Ziggah, Yao, Gyan, Patricia, Li, Feng

“…Analyzing electrical power generation for a wind turbine has associated inaccuracies due to fluctuations in environmental factors, mechanical alterations of…”
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FEASIBILITY OF USING GROUP METHOD OF DATA HANDLING (GMDH) APPROACH FOR HORIZONTAL COORDINATE TRANSFORMATION by Kumi-Boateng, Bernard, Ziggah, Yao Yevenyo

“…Machine learning algorithms have emerged as a new paradigm shift in geoscience computations and applications. The present study aims to assess the suitability…”
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An Active Learning Method for DEM Extraction From Airborne LiDAR Point Clouds by Hui, Zhenyang, Jin, Shuanggen, Cheng, Penggen, Ziggah, Yao Yevenyo, Wang, Leyang, Wang, Yuqian, Hu, Haiying, Hu, Youjian

“…Airborne Light Detection and Ranging (LiDAR) is a popular active remote sensing technology that has been developing very rapidly in recent years. To solve the…”
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Simulating Urban Growth Using Cellular Automata Approach (SLEUTH)-A Case Study of Praia City, Cabo Verde by Goncalves, Tania Mendes, Zhong, Xie, Ziggah, Yao Yevenyo, Dwamena, Brefo Yaw

“…In recent years, urban growth has become the center of attention and preoccupation for many researchers especially those concerned with urban planning. Some…”
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An Improved Skewness Balancing Filtering Algorithm Based on Thin Plate Spline Interpolation by Cheng, Penggen, Hui, Zhenyang, Xia, Yuanping, Ziggah, Yao Yevenyo, Hu, Youjian, Wu, Jing

“…Most filtering algorithms suffer from complex parameter settings or threshold adjusting. To solve this problem, this paper proposes an improved skewness…”
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LEAST SQUARES SUPPORT VECTOR MACHINE MODEL FOR COORDINATE TRANSFORMATION by Ziggah, Yao Yevenyo, Hu, Youjina, Issaka, Yakubu, Laari, Prosper Basommi

“…In coordinate transformation, the main purpose is to provide a mathematical relationship between coordinates related to different geodetic reference frames…”
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Coordinate Transformation between Global and Local Datums Based on Artificial Neural Network with K-Fold Cross-Validation: A Case Study, Ghana by Ziggah, Yao Yevenyo, Youjian, Hu, Tierra, Alfonso Rodrigo, Laari, Prosper Basommi

“…The popularity of Artificial Neural Network (ANN) methodology has been growing in a wide variety of areas in geodesy and geospatial sciences. Its ability to…”
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Wood and leaf separation from terrestrial LiDAR point clouds based on mode points evolution by Hui, Zhenyang, Jin, Shuanggen, Xia, Yuanping, Wang, Leyang, Yevenyo Ziggah, Yao, Cheng, Penggen

“…To improve the accuracy of wood and leaf points classification for individual tree, this paper proposed a separation method based on mode points evolution from…”
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Novel approach to predicting blast-induced ground vibration using Gaussian process regression by Arthur, Clement Kweku, Temeng, Victor Amoako, Ziggah, Yao Yevenyo

“…An attempt has been made to propose a novel prediction model based on the Gaussian process regression (GPR) approach. The proposed GPR was used to predict…”
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FGA: An Allometric Model for Revealing the Relationship Between Fractal Geometry and AGB Estimation by Hui, Zhenyang, Jin, Shuanggen, Cheng, Penggen, Ziggah, Yao Yevenyo

“…Above-ground biomass (AGB) is an important indicator for studying and understanding the ecological environment. However, the traditional AGB estimation methods…”
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A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network by Temeng, Victor Amoako, Ziggah, Yao Yevenyo, Arthur, Clement Kweku

“…Blasting is the live wire of mining and its operations, with air overpressure (AOp) recognised as an end product of blasting. AOp is known to be one of the…”
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An Improved Morphological Algorithm for Filtering Airborne LiDAR Point Cloud Based on Multi-Level Kriging Interpolation by Hui, Zhenyang, Hu, Youjian, Yevenyo, Yao Ziggah, Yu, Xianyu

“…Filtering is one of the core post-processing steps for airborne LiDAR point cloud. In recent years, the morphology-based filtering algorithms have proven to be…”
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Impact of data partitioning in groundwater level prediction using artificial neural network for multiple wells by Seidu, Jamel, Ewusi, Anthony, Kuma, Jerry Samuel Yaw, Ziggah, Yao Yevenyo, Voigt, Hans-Jurgen

“…Information on groundwater level (GWL) fluctuation is very important for general planning and water resources management. In recent times, Artificial Neural…”
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Altimetry‐Derived Gravity Gradients Using Spectral Method and Their Performance in Bathymetry Inversion Using Back‐Propagation Neural Network by Wan, Xiaoyun, Annan, Richard Fiifi, Ziggah, Yao Yevenyo

“…Variations in bathymetry produce gravity gradients; therefore, gravity gradients should be suitable for inverting bathymetry. However, classical bathymetry…”
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Electricity demand forecasting based on feature extraction and optimized backpropagation neural network by Ofori-Ntow Jnr, Eric, Ziggah, Yao Yevenyo

“…•A new hybrid model including feature selection technique, PSO, and BPNN is developed for forecasting electricity demand data.•The originality of the data is…”
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Evaluation of different artificial intelligent methods for predicting dam piezometric water level by Ziggah, Yao Yevenyo, Issaka, Yakubu, Laari, Prosper Basommi

“…Stability is an important measure to consider when dealing with dam structural health management system. Dams are hydraulic structures built with impenetrable…”
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