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ORCIDMilad Haghani
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2020 – today
- 2024
[j9]Maziar Yazdani
, Kamyar Kabirifar, Milad Haghani:
Optimising post-disaster waste collection by a deep learning-enhanced differential evolution approach. Eng. Appl. Artif. Intell. 132: 107932 (2024)- [j8]Maziar Yazdani, Milad Haghani:
Exploring the evolution of machine scheduling through a computational approach. Eng. Appl. Artif. Intell. 133: 108572 (2024) - 2023
- [j7]Maziar Yazdani, Milad Haghani:
A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves. Expert Syst. Appl. 228: 120224 (2023) - [j6]Maziar Yazdani, Milad Haghani:
Elderly people evacuation planning in response to extreme flood events using optimisation-based decision-making systems: A case study in western Sydney, Australia. Knowl. Based Syst. 274: 110629 (2023) - [j5]Clara C. Zwack, Milad Haghani, Matthew Hollings, Ling Zhang, Sarah Gauci, Robyn Gallagher, Julie Redfern:
The evolution of digital health technologies in cardiovascular disease research. npj Digit. Medicine 6 (2023) - 2021
- [j4]Milad Haghani, Pegah Varamini:
Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature. Scientometrics 126(8): 7005-7050 (2021) - [i4]Milad Haghani, Pegah Varamini:
Sleeping beauties and temporal evolution of the coronavirus literature. CoRR abs/2106.04810 (2021) - [i3]Milad Haghani, Michiel C. J. Bliemer:
Structure and temporal evolution of transportation literature. CoRR abs/2107.12639 (2021) - 2020
- [j3]Yan Li, Majid Sarvi, Kourosh Khoshelham, Milad Haghani:
Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers. J. Intell. Transp. Syst. 24(5): 437-448 (2020) - [j2]Milad Haghani, Michiel C. J. Bliemer:
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature. Scientometrics 125(3): 2695-2726 (2020) - [i2]Milad Haghani, Michiel C. J. Bliemer:
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCov literature. CoRR abs/2006.00674 (2020) - [i1]Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall:
Applications of brain imaging methods in driving behaviour research. CoRR abs/2007.09341 (2020)
2010 – 2019
- 2019
- [j1]Yan Li, Kourosh Khoshelham, Majid Sarvi, Milad Haghani:
Direct generation of level of service maps from images using convolutional and long short-term memory networks. J. Intell. Transp. Syst. 23(3): 300-308 (2019)
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