nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comprehensive review of seismic inversion based on neural networks
|
Li, Ming |
|
|
16 |
4 |
p. 2991-3021 |
artikel |
2 |
A general characterization of integrating and querying heterogeneous fuzzy spatiotemporal XML data
|
Zhu, Lin |
|
|
16 |
4 |
p. 3303-3321 |
artikel |
3 |
A hybrid of RainNet and genetic algorithm in nowcasting prediction
|
Ngan, Tran Thi |
|
|
16 |
4 |
p. 3885-3894 |
artikel |
4 |
A long-term regional variability analysis of wintertime temperature and its deep learning aspects
|
Singh, Saurabh |
|
|
16 |
4 |
p. 3647-3666 |
artikel |
5 |
A mathematical model for temperature-reducing potential of urban greenspaces
|
Sangwan, Akanksha |
|
|
16 |
4 |
p. 4199-4211 |
artikel |
6 |
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization
|
Jithendra, Thandra |
|
|
16 |
4 |
p. 3323-3353 |
artikel |
7 |
An autoencoder-based stacked LSTM transfer learning model for EC forecasting
|
Muhammad, Abdullahi Uwaisu |
|
|
16 |
4 |
p. 3369-3385 |
artikel |
8 |
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms
|
Zamanzadeh Talkhouncheh, Milad |
|
|
16 |
4 |
p. 3387-3416 |
artikel |
9 |
Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model
|
Lu, Zhipeng |
|
|
16 |
4 |
p. 4273-4284 |
artikel |
10 |
A novel feature fusion-based stratum image recognition method for drilling rig
|
Wu, Zhengyan |
|
|
16 |
4 |
p. 4293-4311 |
artikel |
11 |
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
|
Sharafi, Milad |
|
|
16 |
4 |
p. 4077-4095 |
artikel |
12 |
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
|
Wang, Shichao |
|
|
16 |
4 |
p. 3469-3487 |
artikel |
13 |
Application of artificial neural network to screen out the dominant meteorological parameters for prediction of air temperature
|
Kumar, Ankit |
|
|
16 |
4 |
p. 3697-3716 |
artikel |
14 |
A QGIS -plugin for gully erosion modeling
|
Khan, Saad |
|
|
16 |
4 |
p. 3269-3282 |
artikel |
15 |
Arbitrary-oriented ship detection based on Kullback-Leibler divergence regression in remote sensing images
|
Chen, Yantong |
|
|
16 |
4 |
p. 3243-3255 |
artikel |
16 |
Artificial neural networks for predicting soil water retention data of various Brazilian soils
|
Totola, Lucas Broseghini |
|
|
16 |
4 |
p. 3579-3595 |
artikel |
17 |
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
|
Parra, Larissa M. P. |
|
|
16 |
4 |
p. 3257-3267 |
artikel |
18 |
A study of non-landslide samples and weights for mapping landslide susceptibility using regression and clustering methods
|
Trinh, Thanh |
|
|
16 |
4 |
p. 4009-4034 |
artikel |
19 |
Calibration and uncertainty analysis of integrated SWAT-MODFLOW model based on iterative ensemble smoother method for watershed scale river-aquifer interactions assessment
|
Yifru, Bisrat Ayalew |
|
|
16 |
4 |
p. 3545-3561 |
artikel |
20 |
Classification of invasive tree species based on the seasonal dynamics of the spectral characteristics of their leaves
|
Dmitriev, Pavel A. |
|
|
16 |
4 |
p. 3729-3743 |
artikel |
21 |
CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain
|
Ma, Kai |
|
|
16 |
4 |
p. 3629-3646 |
artikel |
22 |
Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia
|
Yulianto, Fajar |
|
|
16 |
4 |
p. 3981-4008 |
artikel |
23 |
Comparative study of machine learning algorithms in predicting asphaltene precipitation with a novel validation technique
|
Khalighi, Jafar |
|
|
16 |
4 |
p. 3097-3111 |
artikel |
24 |
Correction to: Land use and land cover classification using machine learning algorithms in google earth engine
|
M, Arpitha |
|
|
16 |
4 |
p. 3075 |
artikel |
25 |
Deep learning based landslide detection using open-source resources: Opportunities and challenges
|
Das, Suvam |
|
|
16 |
4 |
p. 4035-4052 |
artikel |
26 |
Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
|
Le, Xuan-Hien |
|
|
16 |
4 |
p. 3113-3124 |
artikel |
27 |
Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks
|
Li, Yafeng |
|
|
16 |
4 |
p. 4187-4198 |
artikel |
28 |
Enhanced streamflow prediction using SWAT’s influential parameters: a comparative analysis of PCA-MLR and XGBoost models
|
R, Yamini Priya |
|
|
16 |
4 |
p. 4053-4076 |
artikel |
29 |
EQAFR: an energy and QoS aware fuzzy routing for internet of underwater things using SDN
|
Mohammadi, Reza |
|
|
16 |
4 |
p. 3563-3577 |
artikel |
30 |
Estimating soil–water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis
|
Bakhshi, Aida |
|
|
16 |
4 |
p. 3839-3860 |
artikel |
31 |
Estimation of loss on ignition values of the magnesite minerals using robust multiple regression
|
Akıska, Sinan |
|
|
16 |
4 |
p. 4243-4255 |
artikel |
32 |
Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data
|
Amirzehni, Parastoo |
|
|
16 |
4 |
p. 3779-3795 |
artikel |
33 |
Evaluation of vertical accuracy of open access DEMs across different physiographic regions and river basins of Nepal
|
Karki, Saroj |
|
|
16 |
4 |
p. 3745-3764 |
artikel |
34 |
Exploring hybrid models for forecasting CO2 emissions in drought-prone Somalia: a comparative analysis
|
Egeh, Omer Mohamed |
|
|
16 |
4 |
p. 3895-3912 |
artikel |
35 |
Exploring soil property spatial patterns in a small grazed catchment using machine learning
|
Barrena-González, Jesús |
|
|
16 |
4 |
p. 3811-3838 |
artikel |
36 |
Extraction and analysis of snow covered area from high resolution satellite imageries using K-means clustering
|
Kodge, B. G. |
|
|
16 |
4 |
p. 4285-4291 |
artikel |
37 |
Flash-flood susceptibility mapping: a novel credal decision tree-based ensemble approaches
|
Yang, Dingying |
|
|
16 |
4 |
p. 3143-3161 |
artikel |
38 |
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
|
Dhole, Asha |
|
|
16 |
4 |
p. 3947-3961 |
artikel |
39 |
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area
|
Valdivieso-Ros, Carmen |
|
|
16 |
4 |
p. 3861-3883 |
artikel |
40 |
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
|
Abbas, Mohammed A. |
|
|
16 |
4 |
p. 3417-3432 |
artikel |
41 |
Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers
|
Alzahem, Ayyub |
|
|
16 |
4 |
p. 4169-4186 |
artikel |
42 |
Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms
|
Katipoğlu, Okan Mert |
|
|
16 |
4 |
p. 3125-3141 |
artikel |
43 |
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
|
Ghanbarnejad Moghanloo, Hamed |
|
|
16 |
4 |
p. 3913-3930 |
artikel |
44 |
Interpretable machine learning for predicting evaporation from Awash reservoirs, Ethiopia
|
Eshetu, Kidist Demessie |
|
|
16 |
4 |
p. 3209-3226 |
artikel |
45 |
Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam
|
Farzad, Reza |
|
|
16 |
4 |
p. 3597-3618 |
artikel |
46 |
Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine
|
Kong, Chunfang |
|
|
16 |
4 |
p. 3163-3177 |
artikel |
47 |
Land use and land cover classification using machine learning algorithms in google earth engine
|
M, Arpitha |
|
|
16 |
4 |
p. 3057-3073 |
artikel |
48 |
Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction
|
Tasan, Melika |
|
|
16 |
4 |
p. 3039-3056 |
artikel |
49 |
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses
|
Kumar, Divesh Ranjan |
|
|
16 |
4 |
p. 4153-4168 |
artikel |
50 |
Machine learning models to complete rainfall time series databases affected by missing or anomalous data
|
Lupi, Andrea |
|
|
16 |
4 |
p. 3717-3728 |
artikel |
51 |
Mapping and analysing framework for extreme precipitation-induced flooding
|
Rana, Vikas Kumar |
|
|
16 |
4 |
p. 4213-4234 |
artikel |
52 |
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-2
|
Hosseinjanizadeh, Mahdieh |
|
|
16 |
4 |
p. 3449-3467 |
artikel |
53 |
Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model
|
Garia, Siddharth |
|
|
16 |
4 |
p. 3191-3207 |
artikel |
54 |
Multidimensional spatial autocorrelation analysis and it’s application based on improved Moran’s I
|
Zhang, Ce |
|
|
16 |
4 |
p. 3355-3368 |
artikel |
55 |
Nearshore significant wave height prediction based on MIC-LSTM model
|
Li, Yan |
|
|
16 |
4 |
p. 3963-3979 |
artikel |
56 |
New approaches to improve nearest neighbors (NN) search in ionospheric simulation system
|
dos Santos Klipp, Telmo |
|
|
16 |
4 |
p. 3619-3627 |
artikel |
57 |
Novel residual hybrid machine learning for solar activity prediction in smart cities
|
Abdulkadir, Rabiu Aliyu |
|
|
16 |
4 |
p. 3931-3945 |
artikel |
58 |
Optimization of negative sample selection for landslide susceptibility mapping based on machine learning using K-means-KNN algorithm
|
Liu, Chao |
|
|
16 |
4 |
p. 4131-4152 |
artikel |
59 |
Pan evaporation forecasting using empirical and ensemble empirical mode decomposition (EEMD) based data-driven models in the Euphrates sub-basin, Turkey
|
Sezen, Cenk |
|
|
16 |
4 |
p. 3077-3095 |
artikel |
60 |
Periodic law patterns of sequence stratigraphy
|
Li, Shaohu |
|
|
16 |
4 |
p. 4257-4271 |
artikel |
61 |
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
|
Yu, Zhi |
|
|
16 |
4 |
p. 4113-4129 |
artikel |
62 |
Prediction of groundwater level variations using deep learning methods and GMS numerical model
|
Amiri, Siamak |
|
|
16 |
4 |
p. 3227-3241 |
artikel |
63 |
Prediction of PM2.5 concentration based on the weighted RF-LSTM model
|
Ding, Weifu |
|
|
16 |
4 |
p. 3023-3037 |
artikel |
64 |
pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation
|
Chen, Qiyu |
|
|
16 |
4 |
p. 3179-3190 |
artikel |
65 |
Roughness Estimation of Multi-Scale Rock Joints based on SfM & MVS Photogrammetry with A DSLR Camera in Animation Mode
|
Ge, Yunfeng |
|
|
16 |
4 |
p. 3489-3509 |
artikel |
66 |
SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism
|
Chen, Dajie |
|
|
16 |
4 |
p. 3283-3301 |
artikel |
67 |
Soil respiration estimation in desertified mining areas based on UAV remote sensing and machine learning
|
Liu, Ying |
|
|
16 |
4 |
p. 3433-3448 |
artikel |
68 |
Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach
|
Utami, Nasiya Alifah |
|
|
16 |
4 |
p. 3531-3544 |
artikel |
69 |
Spatial relationship of Remote Sensing Ecological Indicator (RSEI) and landscape metrics under urban development intensification
|
Naseri, Nazanin |
|
|
16 |
4 |
p. 3797-3810 |
artikel |
70 |
Spectral-spatial dynamic graph convolutional network for hyperspectral image classification
|
Chen, Rong |
|
|
16 |
4 |
p. 3679-3695 |
artikel |
71 |
The choice of cartographic system on the calculation of Earth's surface parameters from maps, namely of the GMST
|
Pavese, Franco |
|
|
16 |
4 |
p. 4235-4241 |
artikel |
72 |
The discrimination of tectonic settings using trace elements in magmatic zircons: A machine learning approach
|
Wang, Luyuan |
|
|
16 |
4 |
p. 4097-4112 |
artikel |
73 |
UAV-based investigation of earthquake-induced deformation and landscape changes: a case study of the February 6, 2023 Earthquakes in Hatay, Türkiye
|
Polat, Nizar |
|
|
16 |
4 |
p. 3765-3777 |
artikel |
74 |
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest
|
Phinzi, Kwanele |
|
|
16 |
4 |
p. 3667-3677 |
artikel |
75 |
Use of neural network as a support tool in water level forecasting and issuing flash floods early warnings to three small Brazilian urban watersheds
|
de Lima, Glauston R. T. |
|
|
16 |
4 |
p. 4313-4326 |
artikel |
76 |
Wildfire susceptibility prediction using a multisource and spatiotemporal cooperative approach
|
Deng, Jiehang |
|
|
16 |
4 |
p. 3511-3529 |
artikel |
77 |
WRF-MOSIT: a modular and cross-platform tool for configuring and installing the WRF model
|
Hatheway, William |
|
|
16 |
4 |
p. 4327-4336 |
artikel |