Suchergebnisse - "Computational Modelling and Simulation in Earth Sciences"

Comparison of Deep Learning Algorithms for Image Segmentation on Satellite Images

Autoren: Hüseyin Acemli Nida Kumbasar

Quelle: Volume: 12, Issue: 2479-502
Gazi University Journal of Science Part A: Engineering and Innovation

Schlagwörter: Artificial Intelligence (Other), Remote Sensing, Fotogrametri ve Uzaktan Algılama, High-Spatial Resolution, Semantic Segmentation, Deep Learning, Uzaktan Algılama, Yapay Zeka (Diğer), Photogrammetry and Remote Sensing, Computational Modelling and Simulation in Earth Sciences, Yer Bilimlerinde Hesaplamalı Modelleme ve Simülasyon

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/gujsa/issue/91864/1664093

Beneath the Surface: Geospatial Characterisation and Prediction of Lava Caves in Tāmaki Makaurau

Autoren: Jaxon Ingold

Schlagwörter: Computational modelling and simulation in earth sciences, Geoscience data visualisation, Volcanology, Geology not elsewhere classified, Natural hazards, Auckland Volcanic Field, DEVORA, Lava flows, Lava Caves, GIS, Geospatial, Characterisation, Volcanoes, Auckland

Relation: https://figshare.com/articles/presentation/Beneath_the_Surface_Geospatial_Characterisation_and_Prediction_of_Lava_Caves_in_T_maki_Makaurau/28426490

Verfügbarkeit: https://doi.org/10.17608/k6.auckland.28426490.v1
https://figshare.com/articles/presentation/Beneath_the_Surface_Geospatial_Characterisation_and_Prediction_of_Lava_Caves_in_T_maki_Makaurau/28426490

The changges in landscape connectivity in the Funiu Mountain Area in 2035 based on future scenarios

Autoren: Zechen Wang

Schlagwörter: Computational modelling and simulation in earth sciences, landscape connectivity

Relation: https://figshare.com/articles/journal_contribution/The_changges_in_landscape_connectivity_in_the_Funiu_Mountain_Area_in_2035_based_on_future_scenarios/30049963

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.30049963.v1
https://figshare.com/articles/journal_contribution/The_changges_in_landscape_connectivity_in_the_Funiu_Mountain_Area_in_2035_based_on_future_scenarios/30049963

江阴市不同配置的 CA 模拟

Autoren: MY Zhu

Schlagwörter: Computational modelling and simulation in earth sciences, Earth and space science informatics, Spatial modelling

Relation: https://figshare.com/articles/journal_contribution/__CA_/29219402

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29219402.v1
https://figshare.com/articles/journal_contribution/__CA_/29219402

GeoCode-Benchmark: Can large language models generate geospatial code?

Autoren: Shuyang Hou

Schlagwörter: Computational modelling and simulation in earth sciences, Earth and space science informatics, Geoscience data visualisation, Geoinformatics not elsewhere classified, Geo, GIS, LLM, Geospatial Code Generation

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.28848086.v1
https://figshare.com/articles/journal_contribution/_b_GeoCode-Benchmark_b_b_Can_large_language_models_generate_geospatial_code_b_/28848086

GeoColab

Autoren: Shuyang Hou

Schlagwörter: Computational modelling and simulation in earth sciences, Earth and space science informatics, Geoscience data visualisation, Geoinformatics not elsewhere classified, GIScience, Geospatial Code Generation, Multi-Agent Collaboration, Large Language Models (LLMs), Geospatial Analysis Tools

Relation: https://figshare.com/articles/journal_contribution/GeoColab/28190963

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.28190963.v2
https://figshare.com/articles/journal_contribution/GeoColab/28190963

THE APPLICATION OF MODELLING AND ITS INTEGRATION TO FORMULATE A SIMULATION MODEL FOR COMPUTER ITERATION OF PROCESS AND FACILITIES

Autoren: Olorunfemi Bolaji Asore

Schlagwörter: Models and simulations of design, Computational modelling and simulation in earth sciences, Process control and simulation, Simulation, modelling, and programming of mechatronics systems, Electronic device and system performance evaluation, testing and simulation, Modelling and simulation, parameter (prior) model, model 11, mathematical model intended, Simulation Modelling), simulation modelling toolkit, simulation modelling case study, Simulation Modelling, simulation modelling tools, simulation modelling approach, intricacy, investigation attempts, Proximity Data Exchange Schedule

Relation: https://figshare.com/articles/journal_contribution/THE_APPLICATION_OF_MODELLING_AND_ITS_INTEGRATION_TO_FORMULATE_A_SIMULATION_MODEL_FOR_COMPUTER_ITERATION_OF_PROCESS_AND_FACILITIES/29464712

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29464712.v16
https://figshare.com/articles/journal_contribution/THE_APPLICATION_OF_MODELLING_AND_ITS_INTEGRATION_TO_FORMULATE_A_SIMULATION_MODEL_FOR_COMPUTER_ITERATION_OF_PROCESS_AND_FACILITIES/29464712

GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system

Autoren: D. Lin J. Zhang B. Khan et al.

Quelle: Geoscientific Model Development, Vol 17, Pp 815-845 (2024)
Geoscientific Model Development, 17 (2), 815 – 845

Schlagwörter: QE1-996.5, ddc:550, 0207 environmental engineering, Geology, 02 engineering and technology, 7. Clean energy, 01 natural sciences, Earth sciences, 37 - Earth sciences::3704 - Geoinformatics::370401 - Computational modelling and simulation in earth sciences, 13. Climate action, 11. Sustainability, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://gmd.copernicus.org/articles/17/815/2024/
https://doaj.org/article/dd1fb79226ae40f1b947fe4cb3551c26
https://publikationen.bibliothek.kit.edu/1000169202
https://doi.org/10.5445/IR/1000169202
https://publikationen.bibliothek.kit.edu/1000169202/152460520

Neuroeconomic Triggers in Corporate Decision Loops: Can Organizational Bias Be Predicted by Dopamine Models?

Autoren: Adiguna Sopyan

Schlagwörter: Neurosciences not elsewhere classified, Computational modelling and simulation in earth sciences, Economic development policy, Decision theory, Cognitive neuroscience, Neuroeconomics, Decision Bias, Organizational Behavior, Dopamine, Predictive Modeling, Corporate Neuroscience, Risk Perception, Agent-Based Simulation, Cognitive Bias, Behavioral Strategy

Relation: https://figshare.com/articles/preprint/Neuroeconomic_Triggers_in_Corporate_Decision_Loops_Can_Organizational_Bias_Be_Predicted_by_Dopamine_Models_/29289965

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29289965.v2
https://figshare.com/articles/preprint/Neuroeconomic_Triggers_in_Corporate_Decision_Loops_Can_Organizational_Bias_Be_Predicted_by_Dopamine_Models_/29289965

Slides – Tomasz Janus – Open Research Conference 2024

Autoren: Tomasz Janus

Schlagwörter: Computational modelling and simulation in earth sciences, Research, science and technology policy, Accessible computing, Open Research, Open data, Accessible data, Open code, Open software, #UoMORC24, Reproducibility

Relation: https://figshare.com/articles/presentation/Slides_Tomasz_Janus_Open_Research_Conference_2024/25766268

Verfügbarkeit: https://doi.org/10.48420/25766268.v1
https://figshare.com/articles/presentation/Slides_Tomasz_Janus_Open_Research_Conference_2024/25766268

GeoCogent

Autoren: Shuyang Hou

Schlagwörter: Computational modelling and simulation in earth sciences, Earth and space science informatics, Geoscience data visualisation, Geoinformatics not elsewhere classified, Geospatial Code Generation, LLM-based Agent, GIS

Relation: https://figshare.com/articles/journal_contribution/GeoCogent/28078871

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.28078871.v4
https://figshare.com/articles/journal_contribution/GeoCogent/28078871

Urban Change Detection

Autoren: 1 l

Schlagwörter: Computational modelling and simulation in earth sciences, Earth and space science informatics, Geoscience data visualisation, Geoinformatics not elsewhere classified, Urban Changes, knowledge graph regards

Relation: https://figshare.com/articles/online_resource/MBUKG_DCKRL_CD/27897873

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.27897873.v14
https://figshare.com/articles/online_resource/MBUKG_DCKRL_CD/27897873

Codes for MECA-3D model to produce FU3D dataset

Autoren: Qikang ZHAO

Schlagwörter: Computational modelling and simulation in earth sciences, urban expansion —

Relation: https://figshare.com/articles/journal_contribution/Codes_for_the_FU3D_dataset/26795902

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.26795902.v2
https://figshare.com/articles/journal_contribution/Codes_for_the_FU3D_dataset/26795902

Infrastructure disruption from coastal flooding: Project Summary

Autoren: Paulik, R. Zorn, C.

Schlagwörter: Computational modelling and simulation in earth sciences, 13. Climate action, 11. Sustainability

Stakeholder data infosheet: Where to go for climate data?

Autoren: Deep South Challenge

Schlagwörter: Atmospheric dynamics, Computational modelling and simulation in earth sciences, 13. Climate action, Physical oceanography, Climate change processes, Water resources engineering, Natural resource management, Surface water hydrology

Mapping New Zealand's exposure to coastal flooding and sea-level rise

Autoren: Stephens, S. Paulik, R.

Schlagwörter: Computational modelling and simulation in earth sciences, 13. Climate action, 11. Sustainability, 14. Life underwater, 15. Life on land

Meteorological drivers of pyrocumulonimbus in southeast Australia

Autoren: Wilson, Caleb

Schlagwörter: numerical weather prediciton (NWP), 370903 Natural hazards, bushfires in Australia, 370108 Meteorology, Weather research and forecasting model (WRF), 370401 Computational modelling and simulation in earth sciences, pyrocumulonimbus (pyroCb), 370101 Adverse weather events, 490501 Applied statistics, 3701 Atmospheric sciences, wildfire, 300706 Forestry fire management

Reduced-complexity modelling of decadal-scale shoreline change

Autoren: Repina, Oxana

Schlagwörter: Computational modelling and simulation in earth sciences, Physical geography and environmental geoscience

eo-tides - Tide modelling tools for large-scale satellite Earth observation analysis

Autoren: Commonwealth Of Australia (Geoscience Australia) Bishop-Taylor, R.

Schlagwörter: tide modelling, remote sensing, Data engineering and data science, Computational modelling and simulation in earth sciences, Physical oceanography, Earth system sciences, DEA – Digital Earth Australia, earth observation, Geoscience data visualisation, Python

Reconstructing Lacustrine Tsunami Hazard in High-Seismicity Regions of New Zealand’s South Island

Autoren: Katie Hughes

Schlagwörter: Computational modelling and simulation in earth sciences, Marine geoscience, Sedimentology, Geomorphology and earth surface processes, Natural hazards, lake tsunami, co-seismic landslides, landslide-generated tsunami, tsunami modelling, multibeam bathymetry, School: School of Geography, Environment and Earth Sciences, 370401 Computational modelling and simulation in earth sciences, 370509 Sedimentology, 370901 Geomorphology and earth surface processes, 370903 Natural hazards, 370504 Marine geoscience, 190403 Geological hazards (e.g. earthquakes, landslides and volcanic activity), Degree Discipline: Physical Geography, Degree Name: Doctor of Philosophy, Degree Level: Doctoral

Verfügbarkeit: https://doi.org/10.26686/wgtn.29494436
https://figshare.com/articles/thesis/Reconstructing_Lacustrine_Tsunami_Hazard_in_High-Seismicity_Regions_of_New_Zealand_s_South_Island/29494436