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Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice.

, , , , , and . ICCSA (4), volume 10407 of Lecture Notes in Computer Science, page 722-731. Springer, (2017)

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Supporting planning activities with the assessment and the prediction of urban sprawl using spatio-temporal analysis., , and . Ecol. Informatics, (2015)Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation., , , , , , , and . Ecol. Informatics, (September 2023)Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals., , and . CoRR, (2020)"Serpentone Reload" an Experience of Citizens Involvement in Regeneration of Peripheral Urban Spaces., , , , , , , , , and 2 other author(s). ICCSA (2), volume 9156 of Lecture Notes in Computer Science, page 698-713. Springer, (2015)Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential., , , , , and . CoRR, (2021)Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal., , , and . Environ. Model. Softw., (2018)Spatio-temporal evolution of global surface temperature distributions., , , and . CI, page 37-43. ACM, (2020)A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures., , , and . ICCSA (6), volume 10409 of Lecture Notes in Computer Science, page 585-600. Springer, (2017)Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice., , , , , and . ICCSA (4), volume 10407 of Lecture Notes in Computer Science, page 722-731. Springer, (2017)Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction., , and . ICCSA (2), volume 8580 of Lecture Notes in Computer Science, page 758-773. Springer, (2014)