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Ahmad BahooToroody

Biographic Data

ID7936956
NAMEAhmad BahooToroody
GIVEN NAMESAhmad
FAMILY NAMEBahooToroody
SIGNATUREBAHOOTOROODY A
AFFILIATIONSAalto University
ORCID0000-0002-7126-4244
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Assessment of the capacity of port policies to support adaptation to climate-induced extreme weather events

    Open Access•Gabriel Chikelu, Meriam Chaal et al.•ARTICLE•Marine Policy•2026

    Climate change is exposing ports to extreme weather events. Although state-of-the-art engineering solutions provide mitigation and adaptation options, policy frameworks often remain reactive, fragmented, or misaligned with scientific recommendations, leaving ports vulnerable and undermining their capacity to absorb, adapt to, and recover from climate-induced disruptions. This study builds on vulnerability analysis to assess climate adaptation rea…

  • A systematic approach for predicting loyalty behavior of tourist destinations

    Open Access•Ahmad Reza Talaee Malmiri, Roxana Norouzi Isfahani et al.•ARTICLE•Journal of Tourism Futures•2026

    Purpose Destinations to be able to compete with each other need to equip themselves with as many competitive advantages as possible. Tourists' loyalty to a destination is considered as a prominent competitive tool for destinations. Tourists' loyalty manifests itself in recommendation of the destination to others, repeat visit of the destination and willingness to revisit the destination. Although a plethora of studies have tried to define models …

  • Bayesian Estimation for Reliability Engineering

    Open Access•Leonardo Leoni, Farshad BahooToroody et al.•ARTICLE•International Journal of…•2021

    Over the last few decades, reliability analysis has attracted significant interest due to its importance in risk and asset integrity management. Meanwhile, Bayesian inference has proven its advantages over other statistical tools, such as maximum likelihood estimation (MLE) and least square estimation (LSE), in estimating the parameters characterizing failure modelling. Indeed, Bayesian inference can incorporate prior beliefs and information into…

No prominent works on this page.

  • Bayesian Estimation for Reliability Engineering

    Open Access•Leonardo Leoni, Farshad BahooToroody et al.•ARTICLE•International Journal of…•2021

    Over the last few decades, reliability analysis has attracted significant interest due to its importance in risk and asset integrity management. Meanwhile, Bayesian inference has proven its advantages over other statistical tools, such as maximum likelihood estimation (MLE) and least square estimation (LSE), in estimating the parameters characterizing failure modelling. Indeed, Bayesian inference can incorporate prior beliefs and information into…

  • Assessment of the capacity of port policies to support adaptation to climate-induced extreme weather events

    Open Access•Gabriel Chikelu, Meriam Chaal et al.•ARTICLE•Marine Policy•2026

    Climate change is exposing ports to extreme weather events. Although state-of-the-art engineering solutions provide mitigation and adaptation options, policy frameworks often remain reactive, fragmented, or misaligned with scientific recommendations, leaving ports vulnerable and undermining their capacity to absorb, adapt to, and recover from climate-induced disruptions. This study builds on vulnerability analysis to assess climate adaptation rea…

  • A systematic approach for predicting loyalty behavior of tourist destinations

    Open Access•Ahmad Reza Talaee Malmiri, Roxana Norouzi Isfahani et al.•ARTICLE•Journal of Tourism Futures•2026

    Purpose Destinations to be able to compete with each other need to equip themselves with as many competitive advantages as possible. Tourists' loyalty to a destination is considered as a prominent competitive tool for destinations. Tourists' loyalty manifests itself in recommendation of the destination to others, repeat visit of the destination and willingness to revisit the destination. Although a plethora of studies have tried to define models …

Computer Science (2 works) · Artificial Intelligence (1 work) · Asset (computer security (1 work) · Bayes estimator (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Binomial distribution (1 work) · Business (1 work) · Climate change adaptation (1 work) · Climate Change and Sustainable Development (1 work)

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