Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Zainab Akhtar"'
Autor:
Zainab Akhtar, Syed Abbas Zilqurnain Naqvi, Mirza Tariq Hamayun, Muhammad Ahsan, Ahsan Nadeem, S. M. Muyeen, Arman Oshnoei
Publikováno v:
IEEE Access, Vol 12, Pp 98107-98120 (2024)
The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations
Externí odkaz:
https://doaj.org/article/bad6f52d87a84fae86a321563c5b1a3d
Publikováno v:
Aerospace, Vol 11, Iss 10, p 788 (2024)
This study considers the numerical design and practical implementation of a new multi-layer neural network observer-based control design technique for unmanned aerial vehicles systems. Initially, an adaptive multi-layer neural network-based Luenberge
Externí odkaz:
https://doaj.org/article/391da52c33d24bf3a9212915d2197df9
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
Autor:
Muhammad SAQLAIN, Zainab AKHTAR, Raheela KARAMAT, Samra MUNAWAR, Maria IQBAL, Muhammad FIAZ, Muhammad Mubeen ZAFAR, Sadia SAEED, Muhammad Farooq NASIR, S.M. Saqlan NAQVI, Ghazala Kaukab RAJA
Publikováno v:
Iranian Journal of Public Health, Vol 48, Iss 12 (2019)
Background: A number of anthropometric indices have been used in different world populations as markers to estimate obesity and its related health risks. The present study is large population based study dealing with five anthropometric obesity scale
Externí odkaz:
https://doaj.org/article/307d173692854afcae3e3231125e8302
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:
International Handbook of Disaster Research ISBN: 9789811688003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dd03310d541f1b4958c4b4f28659f2d
https://doi.org/10.1007/978-981-16-8800-3_177-1
https://doi.org/10.1007/978-981-16-8800-3_177-1
Flood events cause substantial damage to infrastructure and disrupt livelihoods. There is a need for the development of an innovative, open-access and real-time disaster map pipeline which is automatically initiated at the time of a flood event to hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a0efcb865c80719474c6a27026d165
https://doi.org/10.5194/egusphere-egu22-7561
https://doi.org/10.5194/egusphere-egu22-7561
Autor:
Zainab Akhtar, Muhammad Attique Khan, Naveed Riaz, Muhammad Sharif, Jong Weon Lee, Sajid Ali Khan
Publikováno v:
Journal of Enterprise Information Management. 36:767-789
PurposeIn artificial intelligence, the optical character recognition (OCR) is an active research area based on famous applications such as automation and transformation of printed documents into machine-readable text document. The major purpose of OC
Autor:
Sadia Saeed, Muhammad Mubeen Zafar, Maria Iqbal, Ghazala Kaukab Raja, Muhammad Farooq Nasir, Muhammad Saqlain, Muhammad Fiaz, Samra Munawar, Zainab Akhtar, S. M. Saqlan Naqvi, Raheela Karamat
Publikováno v:
Web of Science
Iranian Journal of Public Health
Iranian Journal of Public Health, Vol 48, Iss 12 (2019)
Iranian Journal of Public Health
Iranian Journal of Public Health, Vol 48, Iss 12 (2019)
Background: A number of anthropometric indices have been used in different world populations as markers to estimate obesity and its related health risks. The present study is large population based study dealing with five anthropometric obesity scale
Publikováno v:
Remote Sensing Applications: Society and Environment. 25:100697