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1. A study of subsidence hotspots by map** vulnerability indices through innovatory ‘ALPRIFT’ using artificial intelligence at two levels

   Declining groundwater levels due to the absence of a planning system makes aquifers vulnerable to subsidence. This paper investigates possible...

   Ata Allah Nadiri, Rahman Khatibi, ... Bakhtiar Feizizadeh in Bulletin of Engineering Geology and the Environment

   Article 10 May 2020
   

2. A Bayesian-based inspection-monitoring data fusion approach for historical buildings and its post-earthquake application to a monumental masonry palace

   Many countries exposed to high levels of seismic risk, including Italy, are facing a huge challenge in promptly quantifying post-earthquake damages...

   Laura Ierimonti, Nicola Cavalagli, ... Filippo Ubertini in Bulletin of Earthquake Engineering

   Article 03 December 2022
   

3. Intraseasonal to Interannual Climate Variability and Prediction

   This chapter outlines a set of topics essential to become aware of the science, methods, and procedures for operational prediction in the...

   Malaquias Peña, L. Gwen Chen, Huug van den Dool in Handbook of Hydrometeorological Ensemble Forecasting

   Reference work entry 2019
   

4. Intraseasonal to Interannual Climate Variability and Prediction

   This chapter outlines a set of topics essential to become aware of the science, methods, and procedures for operational prediction in the...

   Malaquias Peña, L. Gwen Chen, Huug van den Dool in Handbook of Hydrometeorological Ensemble Forecasting

   Living reference work entry 2018
   

5. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

   Since the middle of the twentieth century, artificial intelligence (AI) models have been used widely in engineering and science problems. Water...

   Farzad Fahimi, Zaher Mundher Yaseen, Ahmed El-shafie in Theoretical and Applied Climatology

   Article 06 February 2016