Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Azhar Mohd Ibrahim"'
Publikováno v:
International Islamic University Malaysia Engineering Journal, Vol 23, Iss 1 (2022)
Every year, many disasters occur to buildings causing their destruction and leading to huge casualties. One way of preventing casualties is by evacuation drill activity. Although accurate evacuation drills could enhance the efficiency of the process
Externí odkaz:
https://doaj.org/article/1f1458303aad4ddfbea489b710097083
Autor:
Muhammad Rabani Mohd Romlay, Azhar Mohd Ibrahim, Siti Fauziah Toha, Philippe De Wilde, Ibrahim Venkat
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0256665 (2021)
Low-end LiDAR sensor provides an alternative for depth measurement and object recognition for lightweight devices. However due to low computing capacity, complicated algorithms are incompatible to be performed on the device, with sparse information f
Externí odkaz:
https://doaj.org/article/24a9f0aeb87b4da0a1463a1cd31fbfa8
Publikováno v:
International Islamic University Malaysia Engineering Journal, Vol 20, Iss 1 (2019)
Rainfall-runoff model requires comprehensive computation as its relation is a complex natural phenomenon. Various inter-related processes are involved with factors such as rainfall intensity, geomorphology, climatic and landscape are all affecting ru
Externí odkaz:
https://doaj.org/article/cc0e799f19de4b5fa667b8f33dc170d1
Publikováno v:
ASEAN Engineering Journal. 13:11-20
Nowadays, facial recognition combined with age estimation and gender prediction has been deeply involved with the factors associated with crowd monitoring. This is considered to be a major and complex job for humans. This paper proposes a unified fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cac020cc1755b04fae74496f296ca25
https://doi.org/10.11113/aej.v13.17612
https://doi.org/10.11113/aej.v13.17612
A review on crowd analysis of evacuation and abnormality detection based on machine learning systems
Autor:
Alala Bahamid, Azhar Mohd Ibrahim
Publikováno v:
Neural Computing and Applications. 34:21641-21655
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f769d7e375bb1965d3bdb437455d3d28
https://doi.org/10.1007/s00521-022-07758-5
https://doi.org/10.1007/s00521-022-07758-5
Publikováno v:
8TH BRUNEI INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bead2e9f6a90fcf09a3d03c04c75b2e
https://doi.org/10.1063/5.0110450
https://doi.org/10.1063/5.0110450
Autor:
Wazed Ibne Noor, Tanveer Saleh, Mir Akmam Noor Rashid, Azhar Mohd Ibrahim, Mohamed Sultan Mohamed Ali
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 117:3343-3365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14868be772371c93e885688976c5f6c1
https://doi.org/10.1007/s00170-021-07910-w
https://doi.org/10.1007/s00170-021-07910-w
Autor:
Azhar Mohd Ibrahim, Ibrahim Venkat, Philippe De Wilde, Muhammad Rabani Mohd Romlay, Alala Bahamid
Crowd dynamics have constituted a hotspot of research in recent times, particularly in areas where developmental progress has taken place in crowd evacuation for ensuring human safety. In high-density crowd events which happen frequently, panic or an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f15b588478f17951b8c5779dd3f9de3
https://kar.kent.ac.uk/93304/1/Simulation_paper_for_review.pdf
https://kar.kent.ac.uk/93304/1/Simulation_paper_for_review.pdf
Publikováno v:
International Journal of Disaster Risk Reduction. 77:103083
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d60e285b6169f9f12158d53cb77957
https://doi.org/10.1016/j.ijdrr.2022.103083
https://doi.org/10.1016/j.ijdrr.2022.103083