GeoCognitiva.AI

🌍 Pioneering AI in Geo-Sciences 🌿 Advancing Climatology & Remote Sensing through Cutting-Edge Technology 🛰️ #ClimateInnovation #TechForGood #EcoAwareness🛰️

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @CCIbebuchi and Itohan-Osa Abu @ClimRISElab @kentstategeog @KSU_CollegeofAS @Uni_WUE @eo_wuerzburg-'Interpolation of #environmental #data using #deeplearning and model inference'-https://t.co/LLt0UMXo08 #machinelearning #environment #climate #AI #bigdata #Earth

[GeoCognitiva.AI @GeoCognitiva_AI]

@NOAASatellites @noaaocean @oceanexplorer @NOAAResearch @esa

[Chibuike Ibebuchi @CCIbebuchi]

SST patterns in the tropical Pacific during the 2015/2016 ENSO event. Video created by @Itohan_Osa_

[GeoCognitiva.AI @GeoCognitiva_AI]

#AAG2024 #EGU2024

[NOAA Climate.gov @NOAAClimate]

A new study demonstrates an innovative approach combining two artificial intelligence methods to predict a key ENSO indicator up to a year and a half in advance. The method proved capable of predicting extreme ENSO events at about 85 percent accuracy. https://t.co/Rs0EHMw2tJ

[GeoCognitiva.AI @GeoCognitiva_AI]

✨Applying #ArtificialInteligence in Environmental Science.✨ @CCIbebuchi

@NOAAResearch @NOAAClimate @NASA @ECMWF @esa @ESA_EO @FAO @FAOclimate @UN

[GeoCognitiva.AI @GeoCognitiva_AI]

A thread...
✨Applying #ArtificialInteligence in Environmental Science.✨

Ibebuchi CC (2024) Redefining the North Atlantic Oscillation Index Generation using Autoencoder Neural Network. Machine Learning Science and Technology, 10.1088/2632-2153/ad1c32

https://t.co/bUx4PhzSaT

[GeoCognitiva.AI @GeoCognitiva_AI]

Ibebuchi CC, Richman MB (2024) Non-linear modes of global sea surface temperature variability and their relationships with global precipitation and temperature. Environmental Research Letters, 10.1088/1748-9326/ad1c1d.

https://t.co/3JksDUADF0

[GeoCognitiva.AI @GeoCognitiva_AI]

A thread...
✨Applying #ArtificialInteligence in Environmental Science.✨

Ibebuchi CC (2024) Redefining the North Atlantic Oscillation Index Generation using Autoencoder Neural Network. Machine Learning Science and Technology, 10.1088/2632-2153/ad1c32

https://t.co/bUx4PhzSaT

[GeoCognitiva.AI @GeoCognitiva_AI]

Ibebuchi CC, Obarein OA, Abu I-O (2024) Application of Autoencoders Artificial Neural Network and Principal Component Analysis for Pattern Extraction and Spatial Regionalization of Global Temperature. Machine Learning Science and Technology, 10.1088/2632-2153/ad1c34

[GeoCognitiva.AI @GeoCognitiva_AI]

🌃✨ From Autumn's mellow glow to Christmas' festive shine, our study reveals Chicago's changing night lights. Using Google Earth Engine #GEE, we've traced the city's transformation through radiant visuals.
https://t.co/CIZh8CaqJv
#UrbanLighting #SeasonalChanges #HappyNewYear

[GeoCognitiva.AI @GeoCognitiva_AI]

🌃✨ From Autumn's mellow glow to Christmas' festive shine, our study reveals Chicago's changing night lights. Using Google Earth Engine #GEE, we've traced the city's transformation through radiant visuals.
https://t.co/CIZh8CaqJv
#UrbanLighting #SeasonalChanges #HappyNewYear

[GeoCognitiva.AI @GeoCognitiva_AI]

Leveraging AI to examine sea level pressure patterns in the #Mediterranean region

https://t.co/8pxujk7mlU

#AI #AI4Science

[GeoCognitiva.AI @GeoCognitiva_AI]

#NewPaperAlert

Ibebuchi, C. C. (2023). Exploring non-linear modes of the subtropical Indian Ocean dipole using autoencoder neural networks. Environmental Research: Climate. https://t.co/EoFwbB7ZZ1.

#Indian #Ocean #NeuralNetworks

[GeoCognitiva.AI @GeoCognitiva_AI]

#NewPaperAlert

Ibebuchi, C. C. (2023). Exploring non-linear modes of the subtropical Indian Ocean dipole using autoencoder neural networks. Environmental Research: Climate. https://t.co/EoFwbB7ZZ1.

#Indian #Ocean #NeuralNetworks

[GeoCognitiva.AI @GeoCognitiva_AI]

Unlock reliable forecasting with our latest guide on neural network models! 🌟

https://t.co/zYOdT78Slg

#NeuralNetworks #ForecastingGuide

[GeoCognitiva.AI @GeoCognitiva_AI]

#30DayMapChallenge #gischat #ClimateChange

[GeoCognitiva.AI @GeoCognitiva_AI]

Guide to using ensemble methods to reduce uncertainty in Neural Network Predictions
https://t.co/hyL2Nlr5Pv
#deeplearning #climatology #guide #remotesensing

[GeoCognitiva.AI @GeoCognitiva_AI]

Thrilled to share our latest insights: 'A Practical Guide to Neural Network Hyperparameter Tuning with Walk-Forward Cross-Validation'! https://t.co/flb6E2bCK2 #NeuralNetworks #MachineLearning #HyperparameterTuning"

[GeoCognitiva.AI @GeoCognitiva_AI]

Thrilled to share our latest insights: 'A Practical Guide to Neural Network Hyperparameter Tuning with Walk-Forward Cross-Validation'! https://t.co/flb6E2bCK2 #NeuralNetworks #MachineLearning #HyperparameterTuning"

[GeoCognitiva.AI @GeoCognitiva_AI]

#30DayMapChallenge #gischat #ClimateChange

[GeoCognitiva.AI @GeoCognitiva_AI]

🌊🔍🌟 Revolutionizing climate with Deep Neural Networks! Enhancing resilience & informed actions in critical areas.🌍 Learn more! 👉 https://t.co/afMe8jhAuD #AIForGood #GeoCognitiva #ClimateTech

[GeoCognitiva.AI @GeoCognitiva_AI]

Unlock reliable forecasting with our latest guide on neural network models! 🌟

https://t.co/zYOdT78Slg

#NeuralNetworks #ForecastingGuide

[GeoCognitiva.AI @GeoCognitiva_AI]

🌊🔍🌟 Revolutionizing climate with Deep Neural Networks! Enhancing resilience & informed actions in critical areas.🌍 Learn more! 👉 https://t.co/afMe8jhAuD #AIForGood #GeoCognitiva #ClimateTech