Foto del docente

Aniseh Saber

Dottoranda

Dipartimento di Architettura

Settore scientifico disciplinare: ICAR/20 TECNICA E PIANIFICAZIONE URBANISTICA

Pubblicazioni

Aniseh Saber, Fatemeh Salehipour Bavarsad, Yuan Jihui, Simona Tondelli, Nature-Based Solutions in Different Local Climate Zones of Bologna, «13° INU INTERNATIONAL STUDY DAY, BEYOND THE FUTURE: EMERGENCIES, RISKS, CHALLENGES, TRANSITIONS, AND OPPORTUNITIES, December 2022, Napoli, Italy [Contribution to conference proceedings]

Aniseh Saber, Claudia De Luca, Simona Tondelli, Emerging Approaches for Assessment of Environmental Justice in Ecosystem Services, «4th ESP EUROPE CONFERENCE», October 2022, Heraklion, Greece [Contribution to conference proceedings]

Aniseh Saber, Effects of Window-to-Wall Ratio on Energy Co nsumption: Application of Numerical and ANN Approaches, «INTERNATIONAL JOURNAL OF SOFT COMPUTING IN CIVIL ENGINEERING», October 2021, 5(4):41-56 [Scientific article]

Ali Pourzangbar, Mostafa Vaezi, Seyyed Mahmoud Mousavi, Aniseh Saber, Effects of brace-viscous damper system on the dynamic response of steel frames, «INTERNATIONAL JOURNAL OF ENGINEERING», May 2020, pp. 720-731 [Scientific article]

Saeid Teshnehdel, Seyedasghar Mirnezami, Aniseh Saber, Ali Pourzangbar, Abdul Ghani Olabi, Data-driven and numerical approaches to predict thermal comfort in traditional courtyards, «SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS», Volume 37, February 2020 [Scientific article]

Fatemeh Afsarian, Aniseh Saber, Ali Pourzangbar, Abdul Ghani Olabi, Mohammad Ali Khanmohammadi, Analysis of recycled aggregates effect on energy conservation using M5′ model tree algorithm, «ENERGY», Volume 156, August 2018, pp. 264-277 [Scientific article]

Ali Pourzangbar, Aniseh Saber, Abbas Yeganeh-Bakhtiary, Lida Rasoul Ahari, Predicting scour depth at seawalls using GP and ANNs, «JOURNAL OF HYDROINFORMATICS», Volume 19, May 2017, pp. 349-363 [Scientific article]

Ali Pourzangbar, Miguel A Losada, Aniseh Saber, Lida Rasoul Ahari, Philippe Larroudé, Mostafa Vaezi, Maurizio Brocchini, Prediction of non-breaking wave induced scour depth at the trunk section of breakwaters using Genetic Programming and Artificial Neural Networks, «COASTAL ENGINEERING», Volume 121, March 2017, pp. 107-118 [Scientific article]

Ali Pourzangbar, Maurizio Brocchini, Aniseh Saber, Javad Mahjoobi, Masoud Mirzaaghasi, Mohammad Barzegar, Prediction of scour depth at breakwaters due to non-breaking waves using machine learning approaches, «APPLIED OCEAN RESEARCH», Volume 63, February 2017, pp. 120-128 [Scientific article]