Direct generation of level of service maps from images using convolutional and long short-term memory networks. - Yan Li 127; Kourosh Khoshelham; Majid Sarvi; Milad Haghani (J. Intell. Transp. Syst., 2019)

Applications of brain imaging methods in driving behaviour research. - Milad Haghani; Michiel C. J. Bliemer; Bilal Farooq; Inhi Kim; Zhibin Li; Cheol Oh; Zahra Shahhoseini; Hamish MacDougall (CoRR, 2020)

Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers. - Yan Li 127; Majid Sarvi; Kourosh Khoshelham; Milad Haghani (J. Intell. Transp. Syst., 2020)

Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature. - Milad Haghani; Michiel C. J. Bliemer (Scientometrics, 2020)

Sleeping beauties and temporal evolution of the coronavirus literature. - Milad Haghani; Pegah Varamini (CoRR, 2021)

Structure and temporal evolution of transportation literature. - Milad Haghani; Michiel C. J. Bliemer (CoRR, 2021)

Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature. - Milad Haghani; Pegah Varamini (Scientometrics, 2021)

Elderly people evacuation planning in response to extreme flood events using optimisation-based decision-making systems: A case study in western Sydney, Australia. - Maziar Yazdani; Milad Haghani (Knowl. Based Syst., 2023)

The evolution of digital health technologies in cardiovascular disease research. - Clara C. Zwack; Milad Haghani; Matthew Hollings; Ling Zhang 018; Sarah Gauci; Robyn Gallagher; Julie Redfern (npj Digit. Medicine, 2023)

A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves. - Maziar Yazdani; Milad Haghani (Expert Syst. Appl., 2023)

Exploring the evolution of machine scheduling through a computational approach. - Maziar Yazdani; Milad Haghani (Eng. Appl. Artif. Intell., 2024)

Optimising post-disaster waste collection by a deep learning-enhanced differential evolution approach. - Maziar Yazdani; Kamyar Kabirifar; Milad Haghani (Eng. Appl. Artif. Intell., 2024)