| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A borehole clustering based method for lithological identification using logging data
|
Liu, Hui
|
|
|
17 |
4 |
p. 2801-2817
|
artikel
|
| 2 |
A diffusion model-based framework USDDM for random noise elimination of seismic signal
|
Li, Ming
|
|
|
17 |
4 |
p. 3191-3213
|
artikel
|
| 3 |
Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
|
Zhang, Lizhou
|
|
|
17 |
4 |
p. 3547-3566
|
artikel
|
| 4 |
A machine learning approach for RUSLE-based soil erosion modeling in Beni Haroun dam Watershed, Northeast Algeria
|
Zeghmar, Amer
|
|
|
17 |
4 |
p. 2921-2936
|
artikel
|
| 5 |
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
|
Li, Enming
|
|
|
17 |
4 |
p. 3163-3190
|
artikel
|
| 6 |
Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM
|
Yang, Ruiqi
|
|
|
17 |
4 |
p. 3611-3622
|
artikel
|
| 7 |
An approach based on performer-attention-guided few-shot learning model for plant disease classification
|
Boulila, Wadii
|
|
|
17 |
4 |
p. 3797-3809
|
artikel
|
| 8 |
A new achievement of satellite-based gas flaring volume estimation: decision tree modeling
|
Asadi-Fard, Elmira
|
|
|
17 |
4 |
p. 2887-2901
|
artikel
|
| 9 |
An improved dung beetle optimization with recurrent convolutional neural networks for efficient detection and classification of undersea water object images
|
Jasmine, J. Jeno
|
|
|
17 |
4 |
p. 3651-3671
|
artikel
|
| 10 |
An investigation into the changes in the number and intensity of coincident Mediterranean-Red Sea cyclones (CMRSC) simultaneous with Iran’s precipitation
|
Asakereh, Hossein
|
|
|
17 |
4 |
p. 3749-3765
|
artikel
|
| 11 |
Application of artificial intelligence techniques to predict log at gaps: a case study
|
Mondal, Samit
|
|
|
17 |
4 |
p. 3365-3377
|
artikel
|
| 12 |
Assessing the performance of GNSS PPP-AR using OSB products from different analysis centers
|
Zhang, Qi
|
|
|
17 |
4 |
p. 3767-3777
|
artikel
|
| 13 |
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
|
Khatti, Jitendra
|
|
|
17 |
4 |
p. 3287-3332
|
artikel
|
| 14 |
A user-friendly software package for modelling gravimetric geoid by the classical Stokes-Helmert method
|
Abbak, Ramazan Alpay
|
|
|
17 |
4 |
p. 3811-3824
|
artikel
|
| 15 |
Automatic 3D fault segmentation based on multi-scale feature fusion model with compound loss function
|
Liu, Shengkang
|
|
|
17 |
4 |
p. 2937-2957
|
artikel
|
| 16 |
Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms
|
Faye, Paul Aimé Latsouck
|
|
|
17 |
4 |
p. 3715-3732
|
artikel
|
| 17 |
CitrusDiseaseNet: An integrated approach for automated citrus disease detection using deep learning and kernel extreme learning machine
|
Sankaran, Shanmugapriya
|
|
|
17 |
4 |
p. 3053-3070
|
artikel
|
| 18 |
Comparative performance of four machine learning models for land cover classification in a low-cost UAV ultra-high-resolution RGB-only orthomosaic
|
Sohl, Muhammad Abdullah
|
|
|
17 |
4 |
p. 2869-2885
|
artikel
|
| 19 |
Deep learning approaches for estimating forest vegetation cover and exploring influential ecosystem factors
|
Habeeb, Hendaf N.
|
|
|
17 |
4 |
p. 3379-3396
|
artikel
|
| 20 |
Deep learning-based predictive models of land subsidence and collapsed pipes in Razavi Khorasan Province, Iran
|
Kariminejad, Narges
|
|
|
17 |
4 |
p. 3529-3545
|
artikel
|
| 21 |
EGMS-toolkit: a set of Python scripts for improved access to datasets from the European Ground Motion Service
|
Hrysiewicz, Alexis
|
|
|
17 |
4 |
p. 3825-3837
|
artikel
|
| 22 |
Enhancing drought monitoring through spatial downscaling: A geographically weighted regression approach using TRMM 3B43 precipitation in the Urmia Lake Basin
|
Choursi, Sima Kazempour
|
|
|
17 |
4 |
p. 2995-3020
|
artikel
|
| 23 |
Enhancing image processing performance with attention long short-term domain adversarial crossover orchard algorithm
|
Venkatraman, K.
|
|
|
17 |
4 |
p. 3687-3703
|
artikel
|
| 24 |
Ensemble machine learning models for forecasting tropical cyclones in North Indian region
|
Yeasin, Md
|
|
|
17 |
4 |
p. 3705-3714
|
artikel
|
| 25 |
ESM data downscaling: a comparison of super-resolution deep learning models
|
Pawar, Nikhil M.
|
|
|
17 |
4 |
p. 3511-3528
|
artikel
|
| 26 |
Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC
|
Wang, Zitao
|
|
|
17 |
4 |
p. 3475-3491
|
artikel
|
| 27 |
Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations
|
Mauricio-Álvarez, Luis Eduardo
|
|
|
17 |
4 |
p. 3095-3110
|
artikel
|
| 28 |
Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation
|
Akiner, Muhammed Ernur
|
|
|
17 |
4 |
p. 3111-3135
|
artikel
|
| 29 |
GravNetAdj: a MATLAB-based data processing software for gravity network adjustment
|
Zhao, Jun
|
|
|
17 |
4 |
p. 3839-3849
|
artikel
|
| 30 |
Hybrid deep learning models for multi-ahead river water level forecasting
|
Kashem, Abul
|
|
|
17 |
4 |
p. 3021-3037
|
artikel
|
| 31 |
Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm
|
Chowdhury, Dwijaraj Paul
|
|
|
17 |
4 |
p. 2849-2868
|
artikel
|
| 32 |
Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method
|
Malik, Haider
|
|
|
17 |
4 |
p. 3455-3474
|
artikel
|
| 33 |
Industrial location and urban macroform prediction model based on cellular automata and multi-criteria decision-making methods (ILAUFM)
|
Yüzer, Mehmet Ali
|
|
|
17 |
4 |
p. 2835-2848
|
artikel
|
| 34 |
Integrating Harris Hawks optimization and TensorFlow deep learning for flash flood susceptibility mapping using geospatial data
|
Tinh, Le Duc
|
|
|
17 |
4 |
p. 3397-3412
|
artikel
|
| 35 |
Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
|
K., Karthick
|
|
|
17 |
4 |
p. 3733-3748
|
artikel
|
| 36 |
Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion
|
Şenol, Halil İbrahim
|
|
|
17 |
4 |
p. 3437-3454
|
artikel
|
| 37 |
Knowledge map analysis of coal mine water disaster prevention and control in China from 2000 to 2023
|
Lu, Cunjin
|
|
|
17 |
4 |
p. 2791-2799
|
artikel
|
| 38 |
L1-norm optimization of problems with arbitrary column rank by Whale method and its improved algorithm for outlier detection
|
Mahboub, Vahid
|
|
|
17 |
4 |
p. 3599-3609
|
artikel
|
| 39 |
Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study
|
Vahidnia, Mohammad H.
|
|
|
17 |
4 |
p. 3233-3252
|
artikel
|
| 40 |
Missing log prediction using machine learning perspectives: A case study from upper Assam basin
|
Mukherjee, Bappa
|
|
|
17 |
4 |
p. 3071-3093
|
artikel
|
| 41 |
Model-based prediction of water levels for the Great Lakes: a comparative analysis
|
Kurt, Onur
|
|
|
17 |
4 |
p. 3333-3349
|
artikel
|
| 42 |
Modeling and mapping sea surface gage height using satellite remote sensing data
|
Suwal, Naresh
|
|
|
17 |
4 |
p. 3271-3285
|
artikel
|
| 43 |
Modeling of wetlands storage instabilities using an optimized slffn machine learning using evolutionary computation considering the RROC analysis and PDF techniques
|
Poursaeid, Mojtaba
|
|
|
17 |
4 |
p. 3137-3148
|
artikel
|
| 44 |
Modeling soil water retention curves by pore fractal dimension based on microstructure image
|
Sun, Haiquan
|
|
|
17 |
4 |
p. 3589-3597
|
artikel
|
| 45 |
Modelling the spatial varying relationships between socioeconomic inequalities and COVID-19 mortality in the African subregion
|
Awuah-Mensah, Yaw K.
|
|
|
17 |
4 |
p. 2959-2971
|
artikel
|
| 46 |
Natural disaster damage analysis using lightweight spatial feature aggregated deep learning model
|
Abraham, Kibitok
|
|
|
17 |
4 |
p. 3149-3161
|
artikel
|
| 47 |
PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature prediction
|
Chen, Lingling
|
|
|
17 |
4 |
p. 3779-3795
|
artikel
|
| 48 |
Powerline extraction from aerial and mobile LiDAR data using deep learning
|
Kumar, Vaibhav
|
|
|
17 |
4 |
p. 2819-2833
|
artikel
|
| 49 |
Predicting urban tomorrow: CA-Markov modeling and district evolution
|
Azabdaftari, Anali
|
|
|
17 |
4 |
p. 3215-3232
|
artikel
|
| 50 |
Prediction of production rate of surface miner in coal mine: an application of single and ensemble machine learning methods
|
Lawal, Abiodun Ismail
|
|
|
17 |
4 |
p. 3351-3364
|
artikel
|
| 51 |
Prediction of the mean fragment size in mine blasting operations by deep learning and grey wolf optimization algorithm
|
Rong, Kai
|
|
|
17 |
4 |
p. 2903-2919
|
artikel
|
| 52 |
Predictive modeling of diverse factors impacting regional soil erosion degree with machine learning
|
Hou, Songan
|
|
|
17 |
4 |
p. 3039-3051
|
artikel
|
| 53 |
Semantic segmentation of oblique UAV video based on ConvLSTM in complex urban area
|
Majidizadeh, Abbas
|
|
|
17 |
4 |
p. 3413-3435
|
artikel
|
| 54 |
Spatial and temporal variation of day and night time land surface temperature and its drivers over Iran’s watersheds using remote sensing
|
Shakiba, Fatemeh
|
|
|
17 |
4 |
p. 3567-3587
|
artikel
|
| 55 |
SpinelVA. A new perspective for the visual analysis and classification of spinel group minerals
|
Antonini, Antonella S.
|
|
|
17 |
4 |
p. 3851-3861
|
artikel
|
| 56 |
Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network
|
Katipoğlu, Okan Mert
|
|
|
17 |
4 |
p. 3623-3649
|
artikel
|
| 57 |
Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques
|
Dharpure, Jaydeo K.
|
|
|
17 |
4 |
p. 2973-2994
|
artikel
|
| 58 |
The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil
|
Sergeev, Aleksandr
|
|
|
17 |
4 |
p. 3493-3509
|
artikel
|
| 59 |
Virtual monitoring method for computer network security in earth observation communication using multi ant colony random walk classification algorithm
|
Qiu, Wenhai
|
|
|
17 |
4 |
p. 3673-3685
|
artikel
|
| 60 |
YOLO-U: multi-task model for vehicle detection and road segmentation in UAV aerial imagery
|
Zhao, Zhihong
|
|
|
17 |
4 |
p. 3253-3269
|
artikel
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