Hospital evacuation modelling: A critical literature review on current knowledge and research gaps

M Yazdani, M Mojtahedi, M Loosemore… - International Journal of …, 2021 - Elsevier
The frequency and intensity of both human-made and natural disasters are predicted to
increase, and hospitals play a critically important role in reducing injury and mortality rates …

Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

M Yazdani, K Kabirifar, BE Frimpong, M Shariati… - Journal of Cleaner …, 2021 - Elsevier
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …

Challenges and opportunities in green hydrogen supply chain through metaheuristic optimization

SA Gorji - Journal of Computational Design and Engineering, 2023 - academic.oup.com
A comprehensive analysis of the green hydrogen supply chain is presented in this paper,
encompassing production, storage, transportation, and consumption, with a focus on the …

Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite

AA Shahmansouri, M Yazdani, S Ghanbari… - Journal of Cleaner …, 2021 - Elsevier
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …

Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method

AA Shahmansouri, M Nematzadeh… - Journal of Building …, 2021 - Elsevier
Geopolymer concrete (GPC), usually produced via the activation of the cementitious nature
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …

A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves

M Yazdani, M Haghani - Expert Systems with Applications, 2023 - Elsevier
A significant proportion of the world's population is ageing. As a result, numerous authorities
and governments are formulating strategies to improve their citizens' services. Nevertheless …

The prediction analysis of compressive strength and electrical resistivity of environmentally friendly concrete incorporating natural zeolite using artificial neural network

AA Shahmansouri, M Yazdani, M Hosseini… - … and Building Materials, 2022 - Elsevier
To decrease the environmental and climatic effects of rising concrete consumption, more
environmentally friendly concretes are required. One approach to achieve this goal is using …

Production scheduling of off-site prefabricated construction components considering sequence dependent due dates

M Yazdani, K Kabirifar, AM Fathollahi-Fard… - … Science and Pollution …, 2021 - Springer
The growing environmental concerns, excessive utilization of natural resources, and high
energy consumption have put a severe pressure on the construction industry to adopt new …

[HTML][HTML] A novel machine learning approach combined with optimization models for eco-efficiency evaluation

M Mirmozaffari, M Yazdani, A Boskabadi… - Applied Sciences, 2020 - mdpi.com
Machine learning approaches have been developed rapidly and also they have been
involved in many academic findings and discoveries. Additionally, they are widely assessed …

Elderly people evacuation planning in response to extreme flood events using optimisation-based decision-making systems: A case study in western Sydney …

M Yazdani, M Haghani - Knowledge-Based Systems, 2023 - Elsevier
Climate change is causing an increase in the frequency and severity of floods in various
regions globally, raising concerns about the efficacy of evacuation planning strategies that …