Works matching IS 18650473 AND DT 2023 AND VI 16 AND IP 4
Results: 77
Machine learning models to complete rainfall time series databases affected by missing or anomalous data.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3717, doi. 10.1007/s12145-023-01122-4
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Correction to: Land use and land cover classification using machine learning algorithms in google earth engine.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3075, doi. 10.1007/s12145-023-01113-5
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Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3861, doi. 10.1007/s12145-023-01124-2
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Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4187, doi. 10.1007/s12145-023-01162-w
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A mathematical model for temperature-reducing potential of urban greenspaces.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4199, doi. 10.1007/s12145-023-01166-6
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Evaluation of vertical accuracy of open access DEMs across different physiographic regions and river basins of Nepal.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3745, doi. 10.1007/s12145-023-01114-4
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Use of neural network as a support tool in water level forecasting and issuing flash floods early warnings to three small Brazilian urban watersheds.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4313, doi. 10.1007/s12145-023-01159-5
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Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4169, doi. 10.1007/s12145-023-01153-x
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Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4153, doi. 10.1007/s12145-023-01152-y
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Optimization of negative sample selection for landslide susceptibility mapping based on machine learning using K-means-KNN algorithm.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4131, doi. 10.1007/s12145-023-01151-z
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A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4077, doi. 10.1007/s12145-023-01150-0
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Prediction of compressive strength of granite: use of machine learning techniques and intelligent system.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4113, doi. 10.1007/s12145-023-01145-x
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A study of non-landslide samples and weights for mapping landslide susceptibility using regression and clustering methods.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4009, doi. 10.1007/s12145-023-01144-y
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Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3039, doi. 10.1007/s12145-023-01143-z
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The discrimination of tectonic settings using trace elements in magmatic zircons: A machine learning approach.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4097, doi. 10.1007/s12145-023-01142-0
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Deep learning based landslide detection using open-source resources: Opportunities and challenges.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4035, doi. 10.1007/s12145-023-01141-1
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Impact of land cover classes on surface temperature in the vicinity of urban lakes and vegetation patches: A non-parametric regression analysis over decadal data.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3947, doi. 10.1007/s12145-023-01140-2
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Enhanced streamflow prediction using SWAT's influential parameters: a comparative analysis of PCA-MLR and XGBoost models.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4053, doi. 10.1007/s12145-023-01139-9
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Mapping and analysing framework for extreme precipitation-induced flooding.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4213, doi. 10.1007/s12145-023-01137-x
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WRF-MOSIT: a modular and cross-platform tool for configuring and installing the WRF model.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4327, doi. 10.1007/s12145-023-01136-y
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Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3981, doi. 10.1007/s12145-023-01135-z
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A novel feature fusion-based stratum image recognition method for drilling rig.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4293, doi. 10.1007/s12145-023-01132-2
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Nearshore significant wave height prediction based on MIC-LSTM model.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3963, doi. 10.1007/s12145-023-01134-0
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Estimating soil–water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3839, doi. 10.1007/s12145-023-01131-3
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Novel residual hybrid machine learning for solar activity prediction in smart cities.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3931, doi. 10.1007/s12145-023-01130-4
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Integrating watershed segmentation algorithm and supervised Bayesian classification for the assessment of petrophysical parameters, pore properties, and lithofacies: a case study from Abadan Plain, SW Iran.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3913, doi. 10.1007/s12145-023-01129-x
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UAV-based investigation of earthquake-induced deformation and landscape changes: a case study of the February 6, 2023 Earthquakes in Hatay, Türkiye.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3765, doi. 10.1007/s12145-023-01128-y
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Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3779, doi. 10.1007/s12145-023-01127-z
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Exploring soil property spatial patterns in a small grazed catchment using machine learning.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3811, doi. 10.1007/s12145-023-01125-1
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Exploring hybrid models for forecasting CO2 emissions in drought-prone Somalia: a comparative analysis.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3895, doi. 10.1007/s12145-023-01126-0
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A hybrid of RainNet and genetic algorithm in nowcasting prediction.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3885, doi. 10.1007/s12145-023-01120-6
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Spatial relationship of Remote Sensing Ecological Indicator (RSEI) and landscape metrics under urban development intensification.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3797, doi. 10.1007/s12145-023-01119-z
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Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3667, doi. 10.1007/s12145-023-01117-1
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Artificial neural networks for predicting soil water retention data of various Brazilian soils.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3579, doi. 10.1007/s12145-023-01115-3
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Classification of invasive tree species based on the seasonal dynamics of the spectral characteristics of their leaves.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3729, doi. 10.1007/s12145-023-01118-0
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Spectral-spatial dynamic graph convolutional network for hyperspectral image classification.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3679, doi. 10.1007/s12145-023-01116-2
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CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3629, doi. 10.1007/s12145-023-01112-6
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Prediction of PM2.5 concentration based on the weighted RF-LSTM model.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3023, doi. 10.1007/s12145-023-01111-7
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Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3597, doi. 10.1007/s12145-023-01110-8
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Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4273, doi. 10.1007/s12145-023-01101-9
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EQAFR: an energy and QoS aware fuzzy routing for internet of underwater things using SDN.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3563, doi. 10.1007/s12145-023-01100-w
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Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3417, doi. 10.1007/s12145-023-01099-0
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Extraction and analysis of snow covered area from high resolution satellite imageries using K-means clustering.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 4285, doi. 10.1007/s12145-023-01108-2
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Application of artificial neural network to screen out the dominant meteorological parameters for prediction of air temperature.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3697, doi. 10.1007/s12145-023-01107-3
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A long-term regional variability analysis of wintertime temperature and its deep learning aspects.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3647, doi. 10.1007/s12145-023-01106-4
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New approaches to improve nearest neighbors (NN) search in ionospheric simulation system.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3619, doi. 10.1007/s12145-023-01105-5
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Wildfire susceptibility prediction using a multisource and spatiotemporal cooperative approach.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3511, doi. 10.1007/s12145-023-01104-6
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Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3469, doi. 10.1007/s12145-023-01103-7
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A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3387, doi. 10.1007/s12145-023-01098-1
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Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization.
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- Earth Science Informatics, 2023, v. 16, n. 4, p. 3323, doi. 10.1007/s12145-023-01097-2
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