yusuke1997/dblp-id-title huggingface dataset:
Evaluation of spatial distribution and temporal trend of nitrogen dioxide (${{\varvec{N}}{\varvec{O}}}_{2}$) pollution using Sentinel-5P satellite imagery over Afghanistan based on Google Earth Engine
Application of artificial neural network and least squares regression technique in developing novel models for predicting rock parameters
Mapping and analysing framework for extreme precipitation-induced flooding
Numerical and intelligent modeling of triaxial strength of anisotropic jointed rock specimens
Hyperspectral image classification based on optimized convolutional neural networks with 3D stacked blocks
Task-oriented Sensor Web data processing for environmental monitoring
Performance of various gridded precipitation and temperature products against gauged observations over Turkey
Processing of satellite images in space-time domain
Optimizing landslide susceptibility mapping using integrated forest by penalizing attributes model with ensemble algorithms
Research on the estimation of the real-time population in an earthquake area based on phone signals: A case study of the Jiuzhaigou earthquake
Analysis of underground space development and urban surface effect in Tangshan City
A novel terminal-processing application for utilizing satellite imagery in Mobile GIS
Oil palm yield prediction across blocks from multi-source data using machine learning and deep learning
Semi-automated method for the mapping of alluvial fans from DEM
Iterative selective spatial variance reduction of MYD11A2 LST data
Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM
Harmonic coefficients of the Earth's Spectral Crustal Model 180 - ESCM180
Scaled total-least-squares-based registration for optical remote sensing imagery
Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation
Pan evaporation forecasting using empirical and ensemble empirical mode decomposition (EEMD) based data-driven models in the Euphrates sub-basin, Turkey
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
Terrace extraction based on remote sensing images and digital elevation model in the loess plateau, China
SHRIMPDB: a new geoanalytical database for U-Th-Pb geochronological data from SHRIMP measurements
Developing a SPASE Query Language
Estimating landslide occurrence via small watershed method with relevance vector machine
Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
Quantitative study on color characteristics of urban park landscapes based on K-means clustering and SD. method
UAV and satellite-based prediction of aboveground biomass in scots pine stands: a comparative analysis of regression and neural network approaches
Climate predictors in Indian summer monsoon forecasting: a novel De-correlated RVFL ensemble strategy
SPASE 2.0: a standard data model for space physics
Automatic annotation of satellite images with multi class support vector machine
Lithology identification of logging data based on improved neighborhood rough set and AdaBoost
Lake depth inversion based on UAV and Sentinel-2 data
The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil
Performance evaluation of shallow and deep CNN architectures on building segmentation from high-resolution images
Assessing the impact of digital elevation model resolution on hypsometric analysis in large river Basins (India): a non-parametric statistical approach
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
Enhancing clustering of trajectories through optimization of geometric features
Active learning based on SVM and representativity in a coal mining environment
Grid system for flood extent extraction from satellite images
Efficient clustered server-side data analysis workflows using SWAMP
Assessment of groundwater potential zones in Vellore district, Tamil Nadu, India using geospatial techniques
Data augmentation based morphological classification of galaxies using deep convolutional neural network
Integrating geospatial data and multi-criteria analysis for mapping and evaluating the mineralization potential of the Dschang pluton (Western Cameroon)
Predicting streamflows to a multipurpose reservoir using artificial neural networks and regression techniques
Concatenating data-driven and reduced-physics models for smart production forecasting
Multi-scale risk assessment of stream pollution by wastewater of olive oil mills in Kolymvari, Crete
Multipath interference cancelation in GPS time series under changing physical conditions by means of adaptive filtering
Free multi-floor indoor space extraction from complex 3D building models
Assessment of 30 gridded precipitation datasets over different climates on a country scale
Energy efficiency maximization algorithm for underwater Mobile sensor networks
Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach
The Earth systems and Earth science informatics
Analysis of spatial distribution of precipitation using hydrological modeling of watersheds (Case Study: Dez Dam Watershed)
Semantic modeling of climate change impacts on the implementation of the U.N. sustainable development goals related to poverty, hunger, water, and energy
Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia
Hybrid neural network wind speed prediction based on two-level decomposition and weighted averaging
Improving spatiotemporal groundwater estimates after natural disasters using remotely sensed data - a case study of the Indian Ocean Tsunami
Determining the weights of influencing factors of construction lands with a neural network algorithm: a case study based on Ya'an City
A comparison of data-driven methods in prediction of weather patterns in central Croatia
A novel country-level integrated image mosaic system using optical remote sensing imagery
A spectral optical flow method for determining velocities from digital imagery
Application of artificial neural network to screen out the dominant meteorological parameters for prediction of air temperature
An effective approach of CNN based hybrid Meta- heuristic optimization classifier for retrieving satellite images
Infilling the missing values of groundwater level using time and space series: case of Nantong City, east coast of China
Real-time flash flood detection employing the YOLOv8 model
Optimizing analysis and interpretation of portable XRF data: a case study in the pre-salt Santos Basin, Brazil
Research on 3D geological modeling method based on section thinning-densification and close-range photogrammetry
A new method of rock discontinuity sets using modified self-organizing mapping neural network
Sand fraction prediction from seismic attributes using optimized support vector regression in an oil reservoir
A Markov chain approach for earthquake sequencing in the Aegean Graben system of Turkey
Facilitating open exchange of data and information
EAS 2 KAM: enhanced adaptive source-selection kernel with attention mechanism for hyperspectral image classification
A novel haze removal computing architecture for remote sensing images using multi-scale Retinex technique
Improved inverse distance weighting method application considering spatial autocorrelation in 3D geological modeling
Leveraging machine learning for precision prediction of geomechanical properties of granitic rocks: a comparative analysis of MLR, ANN, and ANFIS models
Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction
Google Earth Engine-based morphometric parameter evaluation and comparative analysis of soil erosion susceptibility using statistical and machine learning algorithms in large river basins
Change detection in SAR images based on superpixel segmentation and image regression
Best worst method-based mineral prospectivity modeling over the Central part of the Southern Kibi-Winneba Belt of Ghana
Routing land use changes using the landscape ecology approach in Isfahan city, central Iran
Implementation of the damage index approach for the rapid evaluation of earthquake resistant buildings
Multi-scale characteristics of remote sensing lineaments
Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data
Scene point cloud classification based on stacked ensemble learning algorithm
Groundwater Quality Analysis and Drinkability Prediction using Artificial Intelligence
Deep and machine learnings of remotely sensed imagery and its multi-band visual features for detecting oil palm plantation
A development of spatiotemporal queries to analyze the simulation outcomes from a voxel automata model
Astroinformatics: data-oriented astronomy research and education
Assessment with remotely sensed soil moisture products and ground-based observations over three dense network
Modeling of wetlands storage instabilities using an optimized slffn machine learning using evolutionary computation considering the RROC analysis and PDF techniques
Hybrid model for high-speed rail wind speed forecasting based on improved transformer
Impact of varied fog collector designs on fog and rainwater harvesting under fluctuating wind speed and direction
Hyperspectral image classification with embedded linear vision transformer
Automated machine learning pipeline for geochemical analysis
Application of machine-learning algorithms for tephrochronology: a case study of Plio-Quaternary volcanic fields in the South Aegean Active Volcanic Arc
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain
Random forest-based nowcast model for rainfall
Hyperspectral data compression by using rational function curve fitting in spectral signature subintervals and Savitsky-Golay smoothing filter
Assessing the forecasting accuracy of intense precipitation events in Iran using the WRF model
Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data
Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database
On the utility of identification schemes for digital earth science data: an assessment and recommendations
Integration of satellite geodetic observations for regional geoid modeling using remove-compute-restore technique
Transiting Exoplanet Discovery Using Machine Learning Techniques: A Survey
Multi-scenario carbon storage analysis based on PLUS model and InVEST model: a case study of Zhejiang province, China
Clustering the temporal distribution pattern of sub-daily precipitations over Iran
Crystal-modeler: A tool for geometric analysis and three-dimensional modeling of crystal forms based on rectangular coordinates in space
A novel VMD-LHPO-KELM machine learning-based TBM boring parameter prediction
Long-term and seasonal displacements inferred from the regional GPS coordinate time series: case study in Central China Hefei City
Morphometric analysis of debris flow hazard and risk assessment in the mountain terrains of northern Pakistan using remote sensing and field data
Assessing soil erosion hazard -a raster based GIS approach with spatial principal component analysis (SPCA)
Spatial prediction of soil erosion susceptibility: an evaluation of the maximum entropy model
Deep learning approaches for estimating forest vegetation cover and exploring influential ecosystem factors
Morphotectonic and Morphodynamic investigations revealed by isobase surfaces analysis and derived differential mapping using GIS, Teboursouk area, northern Tunisia
Analysis of rate of penetration prediction in drilling using data-driven models based on weight on hook measurement
Analysis of positive correlation in magnitude and time measurement for earthquake using electric signals
TOC determination of Zhangjiatan shale of Yanchang formation, Ordos Basin, China, using support vector regression and well logs
Fast fusion-based underwater image enhancement with adaptive color correction and contrast enhancement
Editorial: intelligent GIServices
A hybrid deep learning model in predicting weather temperature
Arbitrary-oriented ship detection based on Kullback-Leibler divergence regression in remote sensing images
Dual-domain prior unfolding network for remote sensing image super-resolution
EZ-InSAR: An easy-to-use open-source toolbox for mapping ground surface deformation using satellite interferometric synthetic aperture radar
Acoustic impedance prediction using an attention-based dual-branch double-inversion network
A deep learning pipeline for large earthquake analysis using high-rate global navigation satellite system data
Empirical correlations between uniaxial compressive strength and density on the basis of lithology: implications from statistical and machine learning assessments
Ultra-short-term photovoltaic power prediction based on modal reconstruction and BiLSTM-CNN-Attention model
Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
A comprehensive survey on conventional and modern neural networks: application to river flow forecasting
GRIDA3 - a shared resources manager for environmental data analysis and applications
Efficient weighted naive bayes classifiers to predict air quality index
A new methodology using borehole data to measure angular distances between geological interfaces
A lightweight building change detection network with coordinate attention and multiscale fusion
Investigating the usefulness of satellite-retrieved land surface temperature (LST) in pre- and post-fire spatial analysis
Wildfire susceptibility prediction using a multisource and spatiotemporal cooperative approach
Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS
Detection of hateful twitter users with graph convolutional network model
An algorithm for daily temperature comparison: Co.Temp - comparing series of temperature
Predicting the concentration of sulfate using machine learning methods
A novel image fusion-based post classification framework for agricultural variations detection using Sentinel-1 and Sentinel-2 data
Spatial data availability and its implications for sustainable development of the Brazilian Amazon
A hybrid deep learning approach for accurate water body segmentation in satellite imagery
Decompose-deep-recompose models and genetic algorithm based optimal ensemble method (GAE) to enhance the air temperature forecasting of world's major urban cities
Unsupervised change detection of remotely sensed images from rural areas based on using the hybrid of improved Thresholding techniques and particle swarm optimization
Spectral response and the retrieval of canopy chlorophyll content under interspecific competition in wetlands - case study of wetlands in the Yangtze River Estuary
Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Research on 3D geological modeling method based on multiple constraints
Application of the cramer method for the prediction of geotechnical parameters of soils in an intertropical zone in road construction
PAR-YOLO: a precise and real-time YOLO water surface garbage detection model
Machine learning applications in trace element analysis: decoding the origin of galena in the Zawar Zn-Pb Deposit, India
Data-based support for petroleum prospect evaluation
A novel machine learning approach for interpolating seismic velocity and electrical resistivity models for early-stage soil-rock assessment
A general characterization of representing spatiotemporal data and determining topological relations based on OWL
Using monitoring data of surface soil to predict whole crop-root zone soil water content with PSO-LSSVM, GRNN and WNN
Sea level in the Mediterranean Sea: seasonal adjustment and trend extraction within the framework of SSA
Nearshore significant wave height prediction based on MIC-LSTM model
Designing sea ice web APIs for ice information services
Evaluating quality of surface water resources by ANN and ANFIS networks using Sentinel-2 satellite data
Dynamic evaluation of water inrush potential in ultra-wide working face mining on confined aquifer driven by geophysical data
A pixel-level fusion method for multi-source optical remote sensing image combining the principal component analysis and curvelet transform
Optimizing non-linear autoregressive networks with Bird Sea Lion algorithms for effective rainfall forecasting
Smart green ocean underwater IoT network by ICA-based acoustic blind MIMO OFDM transceiver
Martian Swiss Cheese detection and volume estimation using shape from shading in very high-resolution imagery
Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network
Generating microscopic images of rocks using generative artificial intelligence (GenAI)
Groundwater level prediction using deep learning-based recurrent neural network and numerical modeling: a comparative study
An eigenvalue decomposition-based Gabor network for polarimetric synthetic aperture radar image classification
An approximate nearest neighbors search algorithm for low-dimensional grid locations
Assessment of the availability of near-real time open weather data provided by networks of surface stations in Spain
PySizer: resizing raster in eigenspace using Python
Correction to: Integrating the Particle Swarm Optimization (PSO) with machine learning methods for improving the accuracy of the landslide susceptibility model
Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
Multi-source data integration modeling and spatial analysis for optimal design of high-level radioactive waste geological repository
Virtual observatories for space and solar physics research
Stabilized Long Short Term Memory (SLSTM) model: a new variant of the LSTM model for predicting ozone concentration data
Salinity-constituent conversion in South Sacramento-San Joaquin Delta of California via machine learning
Intelligent analysis of precision marketing of green agricultural products based on big data and GIS
A Tri-Training method for lithofacies identification under scarce labeled logging data
Protecting location privacy: An approach with error-based transformation and mercator projection-based transformation for geospatial vector data
RDF-G*: An efficient RDF query answer engine based on graph model and star index
Utilizing ANN for improving the WRF wind forecasts in Türkiye
Groundwater level estimation using improved deep learning and soft computing methods
VMD-SCINet: a hybrid model for improved wind speed forecasting
Cloud computing-based freshwater ice mapping using synthetic aperture radar imagery
Ensemble machine learning model for exploration and targeting of Pb-Zn deposits in Algeria
Automatic lithology identification method based on efficient deep convolutional network
Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county
Assessment of groundwater level using satellite-based hydrological parameters in North-West India: A deep learning approach
FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net
Drought assessment in the northeastern Aras Basin using multi-parameter aggregate drought index and innovative polygon trend analysis
CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains
Possible earthquake forecasting in a narrow space-time-magnitude window
A novel approach to analyzing the 3D slope of Mount St. Helens via soft computing techniques
Commutative encryption and watermarking based on SVD for secure GIS vector data
CI-Miner: semantically enhancing scientific processes
Combined use of Sentinel-2 and Landsat-8 to monitor water surface area and evaluated drought risk severity using Google Earth Engine
Estimating soil-water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis
Hyperspectral satellite data analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC classification
DPMFformer: an underwater image enhancement network based on deep pooling and multi-scale fusion transformer
Land cover pattern simulation using an eigenvector spatial filtering method in Hubei Province
Co-operative deep belief fused deep neuro-fuzzy network for water depth-aware content caching model in underwater IoT
Estimating saltwater wedge length in sloping coastal aquifers using explainable machine learning models
Susceptibility assessment of small, shallow and clustered landslide
KG-Unet: a knowledge-guided deep learning approach for seismic facies segmentation
Study of climate change effects on hydrological processes in Siminehroud and Zarrinehroud watersheds northwest of Iran
Ensemble learning-based interpretable method for pore pressure prediction using multivariate well logging data of IODP site U1517
Image analysis algorithm for detection and measurement of Martian sand grains
A multi-objective path computation approach for software defined internet of underwater things
Using deep learning algorithms for built-up area extraction from high-resolution GÖKTÜRK-1 satellite imagery
Mars weather data analysis using machine learning techniques
Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting
Three-dimensional Forest growth simulation in virtual geographic environments
Basement characteristics of Wan'an Basin in southwestern South China sea based on temporal and spatial evolution
Seasonal assessment of cross-shore morphodynamic behaviour of wave-dominated beaches using data-driven analysis
High-accuracy slope stability analysis using data-driven and attention-based deep learning model
Spatial and temporal changes analysis of air quality before and after the COVID-19 in Shandong Province, China
Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan)
Identification of forest disturbance and estimation of forest age in subtropical mountainous areas based on Landsat time series data
Decentralized geospatial metadata management
Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping
Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion
Nonstationary electrical activity in the tectonosphere-atmosphere interface retrieving by multielectrode sensors: case study of three major earthquakes in Central Italy with M>6
Straw return and organic fertilizers instead of chemical fertilizers on growth, yield and quality of rice
GNSS-IR-UT: A MATLAB-based software for SNR-based GNSS interferometric reflectometry (GNSS-IR) analysis
An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil
Seismic data server application service for SEEGRID seismology virtual organization
Land cover classification using multi-fusion based dense transpose convolution in fully convolutional network with feature alignment for remote sensing images
EVNN-GRFN integrated with BFGS-ARMA for rainfall prediction in Bangladesh
Enhancing hyperspectral image compression using learning-based super-resolution technique
Advanced machine learning-based predictive tools for estimating petrophysical parameters: a case study from the Little Knife Field, North Dakota