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Parameter Estimation and Hypothesis Testing
The task of determining probabilities is generally referred to as statistics. Statistics analyzes evidence, observations, data or samples. These...
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On the computation of confidence regions and error ellipses: a critical appraisal
Customary confidence regions do not truly reflect in the majority of our geodetic applications the confidence one can have in one’s produced...
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Analytical Estimation of Strain Energy Accumulation in Retreating Longwall Mining and Sensitivity Analysis Using the Orthogonal Testing Method
Excessive strain energy accumulation in the coal seam is one of the essential conditions for rockbursts to occur. It is imperative to understand the...
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The application of small sample theory and confidence interval method to determine the representative mean Leeb rebound hardness value
The Leeb rebound hardness (LRH) test is a fast, non-destructive, and portable technique widely used to assess rock hardness in the field of rock...
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The DECOVALEX international collaboration on modeling of coupled subsurface processes and its contribution to confidence building in radioactive waste disposal
The long-lived radiotoxicity of the high-level radioactive waste generated by nuclear power plants requires safe isolation from the biosphere for...
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Groundwater level estimation using improved deep learning and soft computing methods
Estimating groundwater level (GWL) is an important issue for planning and managing available water resources. This study uses monthly data from 86...
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Develo** Estimation Equations for the Cerchar Abrasivity Index of Rocks Applicable to TBM Tunnels
Rock abrasivity plays an important role in the machine design, construction scheduling, and budgeting of TBM projects. Establishing several faster...
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An Effective Framework for Improving Performance of Daily Streamflow Estimation Using Statistical Methods Coupled with Artificial Neural Network
This study presents an effective framework that combines artificial neural network (ANN) and statistical methods to more efficiently, consistently,...
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Performance comparison of training algorithms for the estimation of Böhme abrasion resistance using neural networks
Natural stones used as floor and wall coverings are exposed to many different abrasive forces, so it is essential to choose suitable materials for...
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Automatic Estimation Of Rock Quality Designation Based On An Improved YOLOv5
Rock quality designation (RQD) characteristics for assessing the degree of rock mass fracture make it a key parameter in rock grading or other rating...
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Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation
Logical development and effective use of water resources depend heavily on the practicability of runoff forecast. A monthly runoff interval...
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Estimation of River High Flow Discharges Using Friction-Slope Method and Hybrid Models
Accurately estimating river water flow during floods is crucial to water resource management, dam reservoir operation, and flood mitigation...
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An End-to-End Deep Learning Framework for Cyclone Intensity Estimation in North Indian Ocean Region Using Satellite Imagery
Prediction of Tropical cyclones (TCs), particularly intensity prediction, has always been challenging for climate researchers due to the complicated...
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Machine learning approach for GNSS geodetic velocity estimation
This study aimed to investigate the performance of machine learning (ML) algorithms in determining horizontal velocity at specific points using the...
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Estimation of rock mechanical properties by macro indentation test with a conical indenter
The mechanical properties of rock, especially the uniaxial compressive strength ( UCS ), the elastic modulus ( E ), and the Brazilian tensile strength ( BTS...
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Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms
In water resources engineering, streamflow estimation models are of great importance. The use of black box models in determining streamflow...
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Estimation of porosity and volume of shale using artificial intelligence, case study of Kashafrud Gas Reservoir, NE Iran
The key problem in oil exploration and engineering is the lack of accurate and reliable data about the reservoir parameters of a field. Having a...
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Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: lessons learned
Many geoscientific problems require us to exploit synergies of experimental and numerical approaches, which in turn lead to questions regarding the...
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Parameter Estimation for Univariate Hydrological Distribution Using Improved Bootstrap with Small Samples
It is crucial yet challenging to estimate the parameters of hydrological distribution for hydrological frequency analysis when small samples are...
