Ausgabe 4/2024
Inhalt (60 Artikel)
Knowledge map analysis of coal mine water disaster prevention and control in China from 2000 to 2023
- Review
Cunjin Lu, Pu Li, Jinpeng Xu, Jincheng Chai
A borehole clustering based method for lithological identification using logging data
- REVIEW
Hui Liu, XiaLin Zhang, ZhangLin Li, ZhengPing Weng, YunPeng Song
Powerline extraction from aerial and mobile LiDAR data using deep learning
- Research
Vaibhav Kumar, Aritra Nandy, Vishal Soni, Bharat Lohani
Industrial location and urban macroform prediction model based on cellular automata and multi-criteria decision-making methods (ILAUFM)
- Open Access
- RESEARCH
Mehmet Ali Yüzer, Ayşe Şebnem Yüzer, Azem Kuru, Mehmet Emre Yüzer
Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm
- RESEARCH
Dwijaraj Paul Chowdhury, Ujjwal Saha
Comparative performance of four machine learning models for land cover classification in a low-cost UAV ultra-high-resolution RGB-only orthomosaic
- RESEARCH
Muhammad Abdullah Sohl, Syed Amer Mahmood, Mamoon Ur Rasheed
A new achievement of satellite-based gas flaring volume estimation: decision tree modeling
- RESEARCH
Elmira Asadi-Fard, Samereh Falahatkar, Mahdi Tanha Ziyarati, Xiaodong Zhang
Prediction of the mean fragment size in mine blasting operations by deep learning and grey wolf optimization algorithm
- RESEARCH
Kai Rong, Xuan Xu, Haibo Wang, Jun Yang
A machine learning approach for RUSLE-based soil erosion modeling in Beni Haroun dam Watershed, Northeast Algeria
- Research
Amer Zeghmar, Elhadj Mokhtari, Nadir Marouf
Automatic 3D fault segmentation based on multi-scale feature fusion model with compound loss function
- RESEARCH
Shengkang Liu, Guoxu Chen, Ping Zhao, Mingming Zhang, Wanchang Liu, Tingwei Liu
Modelling the spatial varying relationships between socioeconomic inequalities and COVID-19 mortality in the African subregion
- Research
Yaw K. Awuah-Mensah, Eric N. Aidoo
Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques
- RESEARCH
Jaydeo K. Dharpure, Ajanta Goswami, Akansha Patel, Dharmaveer Singh, Sanjay K. Jain, Anil V. Kulkarni
Enhancing drought monitoring through spatial downscaling: A geographically weighted regression approach using TRMM 3B43 precipitation in the Urmia Lake Basin
- RESEARCH
Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoubzadeh, Khadijah Javan
Hybrid deep learning models for multi-ahead river water level forecasting
- RESEARCH
Abul Kashem, Pobithra Das, Md. Mahmudul Hasan, Rezaul Karim, N. M. Refat Nasher
Predictive modeling of diverse factors impacting regional soil erosion degree with machine learning
- Research
Songan Hou, Ying Yu, Qingyun Wang
CitrusDiseaseNet: An integrated approach for automated citrus disease detection using deep learning and kernel extreme learning machine
- RESEARCH
Shanmugapriya Sankaran, Dhanasekaran Subbiah, Bala Subramanian Chokkalingam
Missing log prediction using machine learning perspectives: A case study from upper Assam basin
- RESEARCH
Bappa Mukherjee, Kalachand Sain, Xinming Wu
Evaluation of a transformer-based model for the temporal forecast of coarse particulate matter (PMCO) concentrations
- Research
Luis Eduardo Mauricio-Álvarez, Marco Antonio Aceves-Fernandez, Jesús Carlos Pedraza-Ortega, Juan Manuel Ramos-Arreguín
Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation
- Open Access
- Research
Muhammed Ernur Akiner, Veysi Kartal, Anil Can Guzeler, Erkan Karakoyun
Natural disaster damage analysis using lightweight spatial feature aggregated deep learning model
- Research
Kibitok Abraham, Mohammed Abo-Zahhad, Moataz Abdelwahab
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
- Research
Enming Li, Ning Zhang, Bin Xi, Zhi Yu, Yewuhalashet Fissha, Blessing Olamide Taiwo, Pablo Segarra, Haibo Feng, Jian Zhou
A diffusion model-based framework USDDM for random noise elimination of seismic signal
- RESEARCH
Ming Li, Xue-song Yan, Cheng-yu Hu
Predicting urban tomorrow: CA-Markov modeling and district evolution
- Open Access
- Research
Anali Azabdaftari, Filiz Sunar
Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study
- Research
Mohammad H. Vahidnia
YOLO-U: multi-task model for vehicle detection and road segmentation in UAV aerial imagery
- RESEARCH
Zhihong Zhao, Peng He
Modeling and mapping sea surface gage height using satellite remote sensing data
- Research
Naresh Suwal, Zhiqiang Deng
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
- RESEARCH
Jitendra Khatti, Kamaldeep Singh Grover
Model-based prediction of water levels for the Great Lakes: a comparative analysis
- Open Access
- Research
Onur Kurt
Prediction of production rate of surface miner in coal mine: an application of single and ensemble machine learning methods
- Research
Abiodun Ismail Lawal, Olayemi Yinka Ogundipe, Minju Kim, Sangki Kwon
Application of artificial intelligence techniques to predict log at gaps: a case study
- Research
Samit Mondal, Ashok Yadav, Dheerendra Dayal
Deep learning approaches for estimating forest vegetation cover and exploring influential ecosystem factors
- Research
Hendaf N. Habeeb, Yaseen T. Mustafa
Integrating Harris Hawks optimization and TensorFlow deep learning for flash flood susceptibility mapping using geospatial data
- Research
Le Duc Tinh, Do Thi Phuong Thao, Dieu Tien Bui, Nguyen Gia Trong
Semantic segmentation of oblique UAV video based on ConvLSTM in complex urban area
- RESEARCH
Abbas Majidizadeh, Hadiseh Hasani, Marzieh Jafari
Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion
- Open Access
- Research
Halil İbrahim Şenol, Türkay Gökgöz
Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method
- Research
Haider Malik, Jun Feng, Pingping Shao, Zaid Ameen Abduljabbar
Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC
- Research
Zitao Wang, Chao Yue, Jianping Wang
The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil
- Research
Aleksandr Sergeev, Elena Baglaeva, Andrey Shichkin, Alexander Buevich
ESM data downscaling: a comparison of super-resolution deep learning models
- Open Access
- Research
Nikhil M. Pawar, Ramin Soltanmohammadi, Seyed Kourosh Mahjour, Salah A. Faroughi
Deep learning-based predictive models of land subsidence and collapsed pipes in Razavi Khorasan Province, Iran
- Research
Narges Kariminejad, Adel Sepehr, Mohammad Kazemi Garajeh, Arman Ahmadi, Atoosa Gholamhosseinian
Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
- Research
Lizhou Zhang, Taorui Zeng, Linfeng Wang, Linjun Li
Spatial and temporal variation of day and night time land surface temperature and its drivers over Iran’s watersheds using remote sensing
- RESEARCH
Fatemeh Shakiba, Iman Rousta, Ahmad Mazidi, Haraldur Olafsson
Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network
- Research
Okan Mert Katipoğlu, Gaye Aktürk, Hüseyin Çağan Kılınç, Zeynep Özge Terzioğlu, Mehdi Keblouti
An improved dung beetle optimization with recurrent convolutional neural networks for efficient detection and classification of undersea water object images
- RESEARCH
J. Jeno Jasmine, S. Edwin Raja, R. Muniraj, T. Jarin
Enhancing image processing performance with attention long short-term domain adversarial crossover orchard algorithm
- RESEARCH
K. Venkatraman, A. Chandrasekar, S. Radhika
Ensemble machine learning models for forecasting tropical cyclones in North Indian region
- Research
Md Yeasin, Ranjit Kumar Paul, S. Vishnu Shankar
Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms
- Research
Paul Aimé Latsouck Faye, Elodie Brunel, Thomas Claverie, Solym Mawaki Manou-Abi, Sophie Dabo-Niang
Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
- Research
Karthick K., Aruna S.K., Dharmaprakash R., Gokulan Ravindiran
An investigation into the changes in the number and intensity of coincident Mediterranean-Red Sea cyclones (CMRSC) simultaneous with Iran’s precipitation
- RESEARCH
Hossein Asakereh, Roya Poorkarim Barabadi
Assessing the performance of GNSS PPP-AR using OSB products from different analysis centers
- Research
Qi Zhang, Shuhui Li, Lihua Li, Linhui Zhao, Zihang Niu, Huimin Cao
PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature prediction
- Research
Lingling Chen, Li Wang, Weixiang Ma, Xiaoya Xu, Hao Wang
An approach based on performer-attention-guided few-shot learning model for plant disease classification
- Methodology
Wadii Boulila
A user-friendly software package for modelling gravimetric geoid by the classical Stokes-Helmert method
- Open Access
- Software
Ramazan Alpay Abbak, Ropesh Goyal, Aydin Ustun
EGMS-toolkit: a set of Python scripts for improved access to datasets from the European Ground Motion Service
- Open Access
- Software
Alexis Hrysiewicz, Mahdi Khoshlahjeh Azar, Eoghan P. Holohan
GravNetAdj: a MATLAB-based data processing software for gravity network adjustment
- SOFTWARE
Jun Zhao, XinQiang Xu, LiNa Wang, YaJun Zhang
SpinelVA. A new perspective for the visual analysis and classification of spinel group minerals
- Software
Antonella S. Antonini, Leandro Luque, Gabriela R. Ferracutti, Ernesto A. Bjerg, Silvia M. Castro, María Luján Ganuza
