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Prediction of the Single Pile Seismic Deflection by Using FEM and ANN
A failure prediction assessment is generally required to enhance infrastructural seismic design. This study used Artificial Neural Networks (ANN) and...
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Estimating the Wear Rate of Diamond Cutting Wire Bead in Building Stone Cutting Using SVR and GA_MLP System
As the cutting stone is a wear process, performing this process with diamond pieces' aid can be considered the wear of stone particles bypassing...
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Investigating Multiple Ionospheric Disturbances Associated with the 2020 August 4 Beirut Explosion by Geodetic and Seismological Data
In this study, we investigated oscillatory disturbances in the atmosphere [from GNSS-derived ionospheric slant total electron content (STEC)] and in...
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A CNN model for predicting soil properties using VIS–NIR spectral data
This research aims to develop a novel deep learning-based model for predicting soil properties based on visible and near-infrared (VIS–NIR)...
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Satellite-Based Light Use Efficiency Model for Sugarcane Yield Estimation at Field Scale
Sugarcane is a major cash crop grown in India. Several empirical, semi-empirical and mechanistic models have been used to compute and predict...
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Enhancing earthquake signal based on variational mode decomposition and S-G filter
The precise estimation of associated parameters for microseismic and earthquake signals is a challenging task due to the presence of background...
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Estimation of Vertisols Soil Nutrients by Hyperion Satellite Data: Case Study in Deccan Plateau of India
Soil nutrients are essential for agricultural purpose. There are efforts for estimation of topsoil properties using visible and near infrared...
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Hyperspectral data compression by using rational function curve fitting in spectral signature subintervals and Savitsky-Golay smoothing filter
There are various methods for lossless and lossy compression of hyperspectral images, acting in the spatial or spectral domain. Regarding the...
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Otsu-BRSG: An Effective Algorithm for River Bank Line Detection and Monitoring in the Challenging Terrains of Kaziranga National Park
The topography of the Kaziranga National Park (KNP), situated in Central Assam, India, is undergoing enormous erosion and accretion as a result of...
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Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI
Estimation of crop water requirement (CWR) is key to the rational water use and agricultural water conservation in arid regions. Using remote sensing...
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A stacked generalization ensemble model for optimization and prediction of the gas well rate of penetration: a case study in **njiang
In gas drilling operations, the rate of penetration (ROP) parameter has an important influence on drilling costs. Prediction of ROP can optimize the...
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Use of NIRS in Soil Properties Evaluation Related to Soil Salinity and Sodicity in Colombian Caribbean Coast
AbstractThe banana sector contributes to 3% of the Colombia total exports, becoming the most important crop in the north of the country, benefiting...
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Cotton Yield Estimation Using Phenological Metrics Derived from Long-Term MODIS Data
Crop phenology plays a vital role in crop productivity and has been emphasized as the key indicator of crop growth stages. Time-series 16 day...
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Prediction of penetration rate in drilling operations: a comparative study of three neural network forecast methods
Optimizing purposes of the drilling process include reduction in time, saving costs, and increasing efficiency, which requires optimization of...
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Prediction of time to slope failure based on a new model
Landslide failure time prediction is considered a challenging issue in landslide research. A significant goal of landslide research is to provide...
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Modeling trends and periodic components in geodetic time series: a unified approach
Geodetic time series are usually modeled with a deterministic approach that includes trend, annual, and semiannual periodic components having...
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Use of Spectral Reflectance of Arable Soil Surface for Soil Properties Detection
The objective of this study was to find the correlation between spectral reflectance of the arable soil surface and the main parameters of soil...
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Long-term trend and variability in surface temperatures over Emilia-Romagna from 1962 to 2022
Scientific interest is increasingly drawn towards regional meteorological extremes, given their impacts on populations, infrastructure, and...
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Using deep neural networks for evaluation of soil quality based on VIS–NIR spectroscopy
This study is focused on evaluating the potential of deep neural networks for assessing soil properties based on VIS–NIR spectroscopy with spectral...
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K-Fold Cross-Validation: An Effective Hyperparameter Tuning Technique in Machine Learning on GNSS Time Series for Movement Forecast
In deformation analysis, irregularly spaced data, extreme values, and anomalies in time series can lead to misleading simulations for forecast...