yusuke1997/dblp-id-title huggingface dataset:
Performance of machine learning methods for modeling reservoir management based on irregular daily data sets: a case study of Zit Emba dam
Correction to: Convolution-augmented transformer network for hyperspectral image subspace clustering
Correction to: Thermal database for the Indian region
Blockchain, non-fungible tokens (NFT) ownership certification of gold reserves and potential contribution to sustainable mining
APAS-TR: a MATLAB-based open-source software package for multi-GNSS precise point positioning and its performance in strong ionospheric conditions
Getting across information communities
Reflectance spectroscopy and remote sensing data for finding sulfide-bearing alteration zones and mapping geology in Gilgit-Baltistan, Pakistan
Accuracy and consistency of the machine learning models for predicting carbon stock in different carbon pools using satellite-based predictor variables
Predictive modeling of daily precipitation occurrence using weather data of prior days in various climates
Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data
Seeing through the clouds: enhanced snow and cloud segmentation in sentinel-2 imagery with mDeepLabV3+
The choice of cartographic system on the calculation of Earth's surface parameters from maps, namely of the GMST
A two-phase algorithm for point-feature cartographic label placement
Prediction of the height of water-conducting fracture zone using the FA-ALO-SVR model
Improved porosity estimation in complex carbonate reservoirs using hybrid CRNN deep learning model
Quantification and mapping of the carbon sequestration potential of soils via a quantile regression forest model
Assessment of groundwater potential zones in an arid region based on catastrophe theory
Assessing the feasibility of copula functions for estimating soil properties: a case study in Hunan Province
Practical considerations on the GreenView application development and execution over SEE-GRID
Estimation of the amplification properties of soil through HVSR inversion based on an elitist genetic algorithm
Fracture recognition in ultrasonic logging images via unsupervised segmentation network
Groundwater targeting using remote sensing, geographical information system and analytical hierarchy process method in hard rock aquifer system, Karur district, Tamil Nadu, India
Integrating Harris Hawks optimization and TensorFlow deep learning for flash flood susceptibility mapping using geospatial data
Coastal vulnerability assessment in Norway: a geoinformation-based approach
Investigation of occupants' characteristics impact on thermal comfort assessment using a novel neural network PMVo calculation model
Semi-supervised interlayer intelligent recognition method
A new artificial oasis landscape dynamics in semi-arid Hongsipu region with decadal agricultural irrigation development in Ning Xia, China
Estimating millimeter-scale surface roughness of rock outcrops using drone-flyover structure-from-motion (SfM) photogrammetry by applying machine learning model
Earth science test suites to evaluate grid tools and middleware - examples for grid data access tools
Data mining method in seismology by applying cellular automaton equivalence of ground vibration fluctuations recorded near the epicenter of the 2011 Mw 9 East Japan earthquake
SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism
Ontology-based question understanding with the constraint of Spatio-temporal geological knowledge
Estimation of glacier mass balance using remote sensing and GIS technology in the Hindu Kush region of northern Pakistan
Accuracy evaluation and improvement of common DEM in Hubei Region based on ICESat/GLAS data
An overview of satellite remote sensing technology used in China's environmental protection
Domain-informed multi-step wind speed forecasting: evaluating extreme wind conditions and seasonal variations
ESM data downscaling: a comparison of super-resolution deep learning models
Mapping burn severity and monitoring CO content in Türkiye's 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform
An improved dark channel prior image defogging algorithm based on wavelength compensation
A long-term regional variability analysis of wintertime temperature and its deep learning aspects
Computational efficient compression scheme for satellite images
Evaluating the efficiency and accuracy of the copula-based rainfall-runoff model
Assessing the quality of raw GNSS observations and 3D positioning performance using the Xiaomi Mi 8 dual-frequency smartphone in Northwest Mexico
A novel framework for peak flow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach
Hydro-meteorological hazards and role of ICT during 2010-2019: A scientometric analysis
Improving and evaluating boundary algebra filling for identifying polygon intersections
How to prevent maritime border collision for fisheries?-A design of Real-Time Automatic Identification System
Marine landscape mapping for ecologically relevant habitat suitability modelling
Urban correction of global DEMs using building density for Nairobi, Kenya
Mineralogical mapping and lithological discrimination by using ASTER remote sensing data in the Chitral region, Khyber Pakhtunkhwa, Northern Pakistan
Suitability of the height above nearest drainage (HAND) model for flood inundation mapping in data-scarce regions: a comparative analysis with hydrodynamic models
Lithology prediction via multiscale feature-fusion convolutional neural networks
Bridging semantically different paradigms in the field of marine acquisition event logging
Unmanned aerial vehicle based remote sensing method for monitoring a steep mountainous slope in the Three Gorges Reservoir, China
A novel convolutional neural network model with hybrid attentional atrous convolution module for detecting the areas affected by the flood
An efficient correlation based adaptive LASSO regression method for air quality index prediction
Designing science web sites
Assessing rainfall variability, long-term trends, and drought incidences in the Tanzania part of the Kagera River sub-basin
Developing an algorithm for local anomaly detection based on spectral space window in hyperspectral image
Using the most similar case method to automatically select environmental covariates for predictive mapping
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Automated image classification of minerals using convolutional neural networks
Fuzzy logic modeling for hydrothermal gold mineralization mapping using geochemical, geological, ASTER imageries and other geo-data, a case study in Central Alborz, Iran
Study on slope stability of ionic rare earth ore combined with chemical action under environmental application
Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of neighboring reference station data
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques
A two-level fusion for building irregularity detection in post-disaster VHR oblique images
Unidata's Common Data Model mapping to the ISO 19123 Data Model
Research on lithology identification based on multi-sensor hybrid domain information fusion and support vector machine
Geochronology and structural deformation of Precambrian metamorphic basement in the eastern Jiangnan orogenic belt: constraints on the assembly time of the Yangtze and Cathaysia blocks
Exploring advanced machine learning techniques for landslide susceptibility mapping in Yanchuan County, China
Evaluation of modified Saastamoinen ZTD model using ground-based GPS observation over Iran
Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco
Semantic segmentation of high-resolution satellite images using deep learning
Correction: Develop of a machine learning model to evaluate the hazards of sand dunes
An ensemble deep learning approach for air quality estimation in Delhi, India
Selective variance reduction of multi-temporal LST imagery in the East Africa Rift System
Unmanned aerial vehicle (UAV) remote sensing estimation of wheat chlorophyll in subsidence area of coal mine with high phreatic level
A new algorithm for landslide geometric and deformation analysis supported by digital elevation models
A multi-granularity knowledge association model of geological text based on hypernetwork
Time series land subsidence monitoring and prediction based on SBAS-InSAR and GeoTemporal transformer model
Analysis of geomorphologic features of the circular structure in the south of Lufeng Dinosaur Valley
Multi-scale detail enhancement network for remote sensing road extraction
Improved index overlay mineral potential modeling in brown- and green-fields exploration using geochemical, geological and remote sensing data
Classification of design precipitation intensities for different return periods in Iran
A modular approach to cataloguing marine science data
Urban flood risk assessment using fuzzy logic and real-time flood simulation model - a geomatics techniques
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-2
Forecasting system with sub-model selection strategy for photovoltaic power output forecasting
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China
Research on key techniques of multi-resolution coastline image fusion based on optimal seam-line
Comparison of different optimized machine learning algorithms for daily river flow forecasting
Geospatial modelling of rainfall erosivity in the humid tropics using remotely sensed data
DAPNet++: density adaptive PointNet + + for airborne laser scanning data
EADCN-BCSR: A novel framework for accurate and real-time waste detection and classification
O-LCMapping: a Google Earth Engine-based web toolkit for supporting online land cover classification
Enhancing solar radiation forecasting accuracy with a hybrid SA-Bi-LSTM-Bi-GRU model
Corner points localization in electronic topographic maps with deep neural networks
Depression detection in billion-scale DEM grids in digital terrain analysis using HRBTree
An assessment of training data for agricultural land cover classification: a case study of Bafra, Türkiye
Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data
RASS-U-Net: a hybrid approach for underwater image enhancement with multi-scale feature extraction and attention mechanisms
OpenEOcubes: an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes
When is it sensible not to use XML?
GIS-based multi-criteria decision making and entropy approaches for groundwater potential zones delineation
A novel benchmark dataset of color steel sheds for remote sensing image retrieval
Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest sanctuary for Jaguars
A web-based real-time and full-resolution data visualization for Himawari-8 satellite sensed images
Research on the upward transport of vadose water based on isotope technology: A case study of mining subsidence area in Shendong Mining Area
Enhanced hyperspectral image classification with optimized band selection and Resnext maxout network
Investigation of the recurrent flash flood events in the Far-North Region of Cameroon
Performance evaluation of dimensionality reduction techniques on hyperspectral data for mineral exploration
PM 2.5 forecasting based on transformer neural network and data embedding
Correction: Estimation of the elastic modulus of basaltic rocks using machine learning methods
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas
Comparative study of machine learning algorithms in predicting asphaltene precipitation with a novel validation technique
Adaptive feature selection for hyperspectral image classification based on Improved Unsupervised Mayfly optimization Algorithm
Application of hybrid model-based deep learning and swarm-based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Estimation of the desert dust balance and its relationship with environmental factors in the southern Baja California Peninsula
Correction to: Application of fuzzy logic and neural networks for porosity analysis using well log data: an example from the Chanda Oil Field, Northwest Pakistan
Comparing different space-borne sensors and methods for the retrieval of land surface temperature
Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran
Integration Sentinel-1 SAR data and machine learning for land subsidence in-depth analysis in the North Coast of Central Java, Indonesia
Cross-sections compilation-adjustment method based on 2D-3D linkage in regional three dimensional geological modeling
Earthquake-induced building damage detection using the fusion of optical and radar data in intelligent systems
Veso: virtual earth-sun observatory
A combined model based on data decomposition and multi-model weighted optimization for precipitable water vapor forecasting
Improving the hyperspectral image classification using convolutional neural networks and spectral-spatial information
Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method
Has climate change affected the fire regimes in semi-arid areas of northeastern Iran?
A service-based framework for the OAIS model for earth science data management
Comparison of the different mathematical methods performed in determining the size distribution of aggregates using LiDAR point cloud data and suggested algorithm
Learning with self-attention for rental market spatial dynamics in the Atlanta metropolitan area
Correction to: Prediction of urban water accumulation points and water accumulation process based on machine learning
Prediction and mapping of soil organic carbon stock via large datasets coupled with pedotransfer functions
Hybrid approach for gas viscosity in Yemeni oil fields
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS
Correction to: Spatiotemporal analysis of landscape pattern and structure in the Greater Bay Area, China
How does extreme point sampling affect non-extreme simulation in geographical random forest?
Spatiotemporal variability of trend in extreme precipitations using fuzzy clustering over Northwest Iran
An automated land surface temperature modelling tool box designed using spatial technique for ArcGIS
Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City
Robust geometric estimation of the plate-fixed velocities from PPP solutions
A brave new (virtual) world: distributed searches, relevance scoring and facets
Accuracy enhancement in land subsidence prediction using lightgbm and metaheuristic optimization
Prediction of PM2.5 concentration based on the weighted RF-LSTM model
Intelligent recognition of shale fracture network images based on transfer learning
Exploring effect of scale dependency in LST downscaling - using convolution neural network-extreme learning machine (CNN-ELM)
A general characterization of integrating and querying heterogeneous fuzzy spatiotemporal XML data
An improved method for estimating soil moisture over cropland using SAR and optical data
Assessing soil fractal and sorting characteristics based on geostatistics and modeling approaches in a typical basin of North China plain
Hourly solar irradiance prediction using deep BiLSTM network
Short-term wind speed prediction based on dimension reduction and deep learning models
Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method
Rotation-based outlier detection for geochemical anomaly identification in stream sediment multivariate data
Reservoir porosity assessment and anomaly identification from seismic attributes using Gaussian process machine learning
YOLO-U: multi-task model for vehicle detection and road segmentation in UAV aerial imagery
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China
FGrS: a software for fast gravimetric ultra-high spherical harmonic synthesis
Fast multidimensional scaling on big geospatial data using neural networks
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques
A novel task offloading model for IoT: enhancing resource utilization with actor-critic-based reinforcement learning
Pixel interlacing network: a novel approach for multiclass and subcategories land cover change detection
Advanced water level prediction for a large-scale river-lake system using hybrid soft computing approach: a case study in Dongting Lake, China
Data-driven AHP: a novel method for porphyry copper prospectivity mapping in the Varzaghan District, NW Iran
Application of neural network and ANFIS model for earthquake occurrence in Iran
Evaluation of KLT method for controlled lossy compression of high-resolution seabed's DTM
Automatic extraction of urban land information from unmanned aerial vehicle (UAV) data
Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping
Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence
Reverting rupture processes based on fast synthesized 3D Green's functions: application to the 2010 EI mayor-Cucapah earthquake and the 2017 Jiuzhaigou earthquake
A hybrid deep learning approach to predict meteorological drought based on several remote sensing products
Keywords Query of uncertain spatiotemporal data based on XML
Spatio-temporal kriging based on the product-sum model: some computational aspects
Hyperspectral image classification based on dual-feature transformation fusion transformer
Semi-vectorization: an efficient technique for synthesis and analysis of gravity gradiometry data
Non-linear magnetoconvection in a bidispersive porous layer: a brinkman model
Extraction and accuracy assessment of high-resolution DEM and derived orthoimages from ALOS-PRISM data over Sahel-Doukkala (Morocco)
LSTM based forecasting of the next day's values of ionospheric total electron content (TEC) as an earthquake precursor signal
Estimating SWRC parameters and unsaturated hydraulic permeability by improved Jaya and hybrid improved jaya optimization algorithms
Heterogeneous reservoir prediction of ultra-deep strike-slip fault-damaged zone constrained with local seismic anomaly data
Trip route simulation for pre-Qin settlements based on a gradient descent and variable-neighborhood ant colony optimization algorithm in the Linfen Basin, China
Land subsidence calculation model under the coupling effect of groundwater and coal mining
A hybrid SVR-PSO model to predict concentration of sediment in typical and debris floods
Distributed spatial crowdsourcing based task allocation in Ocean Internet of Things
Extraction of road blockage information for the Jiuzhaigou earthquake based on a convolution neural network and very-high-resolution satellite images
Designing submission and workflow services for preserving interdisciplinary scientific data
Enhanced identification of hydrologically sensitive areas via digital soil mapping and hydrological modeling in semi-arid regions
Satellite image retrieval of random forest (rf-PNN) based probablistic neural network
Ultra-short-term wind speed prediction based on empirical wavelet transform and combined model
Real-time image processing method to implement object detection and classification for remote sensing images
Siamese-LSTM: A predictive model for predicting green space of a location through historical image analysis
WRF-MOSIT: a modular and cross-platform tool for configuring and installing the WRF model
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
Assessing land degradation neutrality in semi-arid dryland agroecosystems of the matabeleland North province of Zimbabwe
An integration of adaptive neuro-fuzzy inference system and firefly algorithm for scour estimation near bridge piers
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast
Assessing temporal snow cover variation in the Sutlej river basin using google earth engine and machine learning models
Investigation of accuracy of PPP and PPP-AR methods for direct georeferencing in UAV photogrammetry
SWAT hydrological model as a DaaS cloud service
Application of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China
Improving the usability of global SRTM DEM for reach-scale floodplain inundation mapping in data-scarce regions through bias correction
Simulating crop yield estimation and prediction through geospatial data for specific regional analysis
Spatial and temporal knowledge representation
Estimation of soil salinity using satellite-based variables and machine learning methods
Use of standard vocabulary services in validation of water resources data described in XML
Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms
Evaluation of TerraClimate gridded data across diverse climates in Iran
Investigation of GLONASS performance in differential positioning
Variability and forecasting of air temperature in Elqui Valley (Chile)
A novel method for mineral prospectivity mapping integrating spatial-scene similarity and weights-of-evidence
Enhanced object recognition from remote sensing images based on hybrid convolution and transformer structure
Multitemporal hyperspectral satellite image analysis and classification using fast scale invariant feature transform and deep learning neural network classifier
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
Radioactive assessments of concrete modified with recycled waste materials
Study on directional reflectivity characteristics analysis of mixed pixels using multi-angle spectral measurements
Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city
R3DFEM: an R package for running the 3D-CMCC-FEM model
Hyperspectral image classification based on channel perception mechanism and hybrid deformable convolution network
Accuracy assessment of near-shore bathymetry information retrieved from Landsat-8 imagery
A UAV attitude fusion algorithm based on gradient descent-improved EKF
A knowledge-driven modeling formalism for automatic structural interpretation