PloS one

The Science of the total environment

Environmental research

Frontiers in genetics

[1] Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia.

[2] XitoSBML: A Modeling Tool for Creating Spatial Systems Biology Markup Language Models From Microscopic Images.

[3] Gene expression based survival prediction for cancer patients-A topic modeling approach.

[4] Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

[5] Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

[6] Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

[7] Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

[8] spatial modeling of risk in natural resource management

[9] pengembangan aplikasi sistem informasi geografis (sig) berbasis web untuk manajemen pemanfaatan air tanah menggunakan php, java dan mysql spatial (studi kasus di kabupaten banyumas)

[10] Revisiting the link between COVID-19 incidence and infection fatality rate during the first pandemic wave.

[11] Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia.

[12] Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

[13] Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world.

[14] Improvement of spatial modeling of Cr, Pb, Cd, as and Ni in soil based on portable X-ray fluorescence (PXRF) and geostatistics: A case study in east China

[15] Geospatial modeling of surface soil texture of agricultural land using fuzzy logic, geostatistics and GIS techniques

[16] SPATIAL MODELING OF TRANSPORT DEVELOPMENT OF FOREST AREA AND THEIR POTENTIAL ENVIRONMENTAL RISKS

[17] Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays

[18] Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays

[19] Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538

[20] A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

[21] spatial modeling of risk in natural resource management

[22] spatial modeling of urban vegetation and land surface temperature: a case study of beijing

[23] Estimating population status and site occupancy of saltwater crocodiles Crocodylus porosus in the Ayeyarwady delta, Myanmar: Inferences from spatial modeling techniques

[24] combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system

[25] spatial modeling of fires: a predictive tool for la primavera forest, jalisco mexico

[26] permafrost favorability index: spatial modeling in the french alps using a rock glacier inventory

[27] spatial modeling of dengue and socio-environmental indicators in the city of rio de janeiro, brazil modelagem espacial da dengue e variáveis socioambientais no município do rio de janeiro, brasil

[28] spatial modeling of limnological parameters in a solar saltwork of northeastern brazil