Multi-source multimodal deep learning to improve situation awareness : an application of emergency traffic management : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand

MLA

Rahubadde Kankanamge, Raj Prasanna, and Rangika Nilani Hewa Algiriyage. Multi-Source Multimodal Deep Learning to Improve Situation Awareness : An Application of Emergency Traffic Management : A Thesis Presented in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1393201211&authtype=sso&custid=ns315887.

APA

Rahubadde Kankanamge, R. P., & Hewa Algiriyage, R. N. (2023). Multi-source multimodal deep learning to improve situation awareness : an application of emergency traffic management : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand.

Chicago

Rahubadde Kankanamge, Raj Prasanna, and Rangika Nilani Hewa Algiriyage. 2023. “Multi-Source Multimodal Deep Learning to Improve Situation Awareness : An Application of Emergency Traffic Management : A Thesis Presented in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1393201211&authtype=sso&custid=ns315887.