Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Suleman Qamar"'
Publikováno v:
IEEE Access, Vol 11, Pp 15460-15470 (2023)
Substantial research has been done in saliency modeling to make intelligent machines that can perceive and interpret their surroundings and focus only on the salient regions in a visual scene. But existing spatio–temporal saliency models either tre
Externí odkaz:
https://doaj.org/article/53886144739a4fd883aa1c45ea4bb703
Autor:
Muhammad Arif Arshad, Saddam Hussain Khan, Suleman Qamar, Muhammad Waleed Khan, Iqbal Murtza, Jeonghwan Gwak, Asifullah Khan
Publikováno v:
IEEE Access, Vol 10, Pp 95441-95450 (2022)
Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions, including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even War-field. Drones confront significant obstacles while navigating indepe
Externí odkaz:
https://doaj.org/article/6ddc3b942af74616ac785c5183943877
Autor:
Suleman Qamar, Saddam Hussain Khan, Muhammad Arif Arshad, Maryam Qamar, Jeonghwan Gwak, Asifullah Khan
Publikováno v:
IEEE Access, Vol 10, Pp 91073-91091 (2022)
Swarm intelligence has been applied to replicate numerous natural processes and relatively simple species to achieve excellent performance in a variety of disciplines. An autonomous approach employing deep reinforcement learning is presented in this
Externí odkaz:
https://doaj.org/article/ffbb9ea4c3a3403eb1bf87048d9f2477
Autor:
Suleman Qamar, Maryam Qamar, Muhammad Shahbaz, Muhammad Arif Arshad, Najmus Saher Shah, Asifullah Khan
Publikováno v:
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02bcefe2117668a89908fd3cecb81082
https://doi.org/10.1109/ibcast54850.2022.9990563
https://doi.org/10.1109/ibcast54850.2022.9990563