Transforming Total Field Anomaly into Anomalous Magnetic Field: Using Dual-Layer Gradient-Boosted Equivalent Sources
https://doi.org/10.31223/X58B1Q #EarthSciences #GeophysicsAndSeismology #PhysicalSciencesAndMathematics #MagneticAnomalies:ModellingAndInterpretation #InverseTheory #Antarctica
From natural variability to flow homogenisation: how dams, water diversions, and climate change reduced seasonal flows in Australia’s Murrumbidgee River
https://doi.org/10.31223/X5D441 #Biodiversity #EnvironmentalEngineering #EnvironmentalHealthAndProtection #EnvironmentalIndicatorsAndImpactAssessment #EnvironmentalMonitoring #Hydrology #NaturalResourcesAndConservation #NaturalResourcesManagementAndPolicy #OtherEnvironmentalSciences #Sustainability #WaterResourceManagement #FlowSeasonality #FlowRegimeAlteration #ClimateChange #FloodplainConnectivity #WetlandRestoration #EnvironmentalFlows #Semi-aridEcosystems #Murray-darlingBasin
Enhancing and Interpreting Deep Learning for Sea Ice Charting using the AutoICE Benchmark
https://doi.org/10.31223/X5NM8J #Analysis #ArtificialIntelligenceAndRobotics #EnvironmentalMonitoring #Oceanography #SeaIceMapping #ConvolutionalNeuralNetworks(cnns) #GeospatialEncoding #FeatureImportance #ModelGeneralizability
Calcium isotope constraints on Mesoarchean seawater
https://doi.org/10.31223/X5SB1C #Biogeochemistry #EarthSciences #Geochemistry #Geology #PhysicalSciencesAndMathematics #Sedimentology #CalciumIsotopes #Archean #CarbonateFactory #Diagenesis
An integrated approach for characterizing and selecting climate change scenarios: Focusing on variability and extremeness
https://doi.org/10.31223/X5HT6M #Engineering #ClimateChange #Entropy #Variability #Extremeness #DimensionalityReduction
Enhancing and Interpreting Deep Learning for Sea Ice Charting using the AutoICE Benchmark
https://doi.org/10.31223/X5NM8J #Analysis #ArtificialIntelligenceAndRobotics #EnvironmentalMonitoring #Oceanography #SeaIceMapping #ConvolutionalNeuralNetworks(cnns) #GeospatialEncoding #FeatureImportance #ModelGeneralizability
Calcium isotope constraints on Mesoarchean seawater
https://doi.org/10.31223/X5SB1C #Biogeochemistry #EarthSciences #Geochemistry #Geology #PhysicalSciencesAndMathematics #Sedimentology #CalciumIsotopes #Archean #CarbonateFactory #Diagenesis
Can large language models effectively reason about adverse weather conditions?
https://doi.org/10.31223/X5X44P #Engineering #LargeLanguageModel #TextClassification #Llama #Bart #Bert #AdverseWeatherConditions
Unlocking the potential of single stations to replace seismic arrays
https://doi.org/10.31223/X51T68 #PhysicalSciencesAndMathematics #MachineLearning #Time-seriesAnalysis #SeismicNoise #SeismicArray #WavePropagation
Sustainable AI infrastructure: A scenario-based forecast of water footprint under uncertainty
https://doi.org/10.31223/X55M86 #Engineering #ArtificialIntelligence #WaterFootprint #ProbabilisticForecasting #DataCentres #DigitalSustainability
Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning
https://doi.org/10.31223/X59B11 #EarthSciences #EnvironmentalSciences
North American ice sheet persistence during past warm periods should inform future projections
https://doi.org/10.31223/X5F43Z #PhysicalSciencesAndMathematics #SeaLevel #LastInterglacial #Quaternary #Pliocene #FutureProjections #IceSheets
Mapping Responsible AI Workflows for Geospatial Data Science: Developing the I-GUIDE Data Ethics Toolkit
https://doi.org/10.31223/X5JT79 #ArtificialIntelligenceAndRobotics #ComputerSciences #EnvironmentalSciences #GeographicInformationSciences #Geography #LibraryAndInformationScience #Sustainability #ResponsibleAi #DataEthics #GeospatialAi #GeospatialDataScience #AiLifecycles #DataLifecycles #Reproducibility #DataCuration #ModelCuration
Impact hypothesis as the cause of the formation of the Mariana Trench and the uplift of the Mid-Atlantic Ridge
https://doi.org/10.31223/X5G14M #PhysicalSciencesAndMathematics #Earth #MarianaTrench #Mid-atlanticRidge
Adaptation to the climate and ecological emergency: motivational factors predict policy support and behavioural engagement
https://doi.org/10.31223/X5KT67 #EnvironmentalStudies #Adaptation #PolicySupport #BehaviouralEngagement #NegativeAffect #Values #PoliticalOrientation #RiskPerception #OutcomeExpectancy
Cumulative exposure to urban heat can affect the learning capacity of students and penalize the vulnerable and low-income young population
https://doi.org/10.31223/X5QH9H #OtherEngineering #CognitiveFunction #HeatExposure #HeatStress #Students #Well-being #CognitiveLoss #SocialAndEconomicInequalities #FutureOverheating #ClimateChangeMitigationTechnologies #AdaptivePolicies
Development and validation of MACK-12: A short multidimensional climate knowledge scale
https://doi.org/10.31223/X5VB2C #EnvironmentalStudies #ClimateChange #ClimateKnowledge #Questionnaire #Assessment #Québec
Effects of Salinity on Menstrual and Reproductive Health: Insights from Coastal and Non-Coastal Areas of Bangladesh.
https://doi.org/10.31223/X50148 #PublicHealth #Keywords:SalinityIntrusion #ReproductiveHealth #WaterQuality #MenstrualHealth #PregnancyComplications.
Evaluating the role of observational uncertainty in climate impact assessments: Temperature-driven yellow fever risk in South America
https://doi.org/10.31223/X53T6W #EnvironmentalSciences #ObservationalUncertainty #TemperatureDatasets #DiseaseVectors #BioclimaticVariables #ClimateChangeIndices #ReferenceClimatology #YellowFever #EpidemiologicalParameters #ReproductionNumber
Evaluation of climatic and non-climatic influence on malaria prevalence in the Upper River Region of The Gambia
https://doi.org/10.31223/X57J03 #PublicHealth #Knowledge #ClimateChange #Prevalence #Malaria
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