Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Ferda, Ofli"'
Autor:
Nando Metzger, John E. Vargas-Muñoz, Rodrigo C. Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are
Externí odkaz:
https://doaj.org/article/b1ad6bc9985c430794187fb5863d9160
Autor:
Rizwan Sadiq, Zainab Akhtar, Steve Peterson, Katelyn Keegan, Aya El-Sakka, Muhammad Imran, Ferda Ofli
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Social media can play an important role in current-day disaster management. Images shared from the disaster areas may include objects relevant to operations. If these objects are identified correctly, they can offer a preliminary damage assessment re
Externí odkaz:
https://doaj.org/article/483540a2ce1847c1866fca8fd838f7ca
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-20
Publikováno v:
Data, Vol 7, Iss 1, p 8 (2022)
As the world struggles with several compounded challenges caused by the COVID-19 pandemic in the health, economic, and social domains, timely access to disaggregated national and sub-national data are important to understand the emergent situation bu
Externí odkaz:
https://doaj.org/article/49bd6a15eee044f59f26e2be6d68bbbf
Publikováno v:
IET Computer Vision, Vol 12, Iss 7, Pp 1040-1045 (2018)
Automatically classifying an image has been a central problem in computer vision for decades. A plethora of models has been proposed, from handcrafted feature solutions to more sophisticated approaches such as deep learning. The authors address the p
Externí odkaz:
https://doaj.org/article/b26a37d8367042a58944c8a554eef3e1
Autor:
Luis Fernandez-Luque, Meghna Singh, Ferda Ofli, Yelena A Mejova, Ingmar Weber, Michael Aupetit, Sahar Karim Jreige, Ahmed Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-13 (2017)
Abstract Background The explosion of consumer electronics and social media are facilitating the rise of the Quantified Self (QS) movement where millions of users are tracking various aspects of their daily life using social media, mobile technology,
Externí odkaz:
https://doaj.org/article/f0bfea86bc904c1ea2ff1469a58a35e5
Autor:
Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12517-12523
Formal response organizations perform rapid damage assessments after natural and human-induced disasters to measure the extent of damage to infrastructures such as roads, bridges, and buildings. This time-critical task, when performed using tradition
Autor:
Stephan J, Goetz, Connor, Heaton, Muhammad, Imran, Yuxuan, Pan, Zheng, Tian, Claudia, Schmidt, Umair, Qazi, Ferda, Ofli, Prasenjit, Mitra
Publikováno v:
Applied Economic Perspectives and Policy. 45:1189-1210
The COVID-19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real-time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural la
Publikováno v:
International Handbook of Disaster Research ISBN: 9789811688003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aae7145b4668c0a60a2f54bfc38091ac
https://doi.org/10.1007/978-981-16-8800-3_178-1
https://doi.org/10.1007/978-981-16-8800-3_178-1