Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Adnan Ahmed Rafique"'
Autor:
Nouf Abdullah Almujally, Adnan Ahmed Rafique, Naif Al Mudawi, Abdulwahab Alazeb, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal, Hui Liu
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionWhen it comes to interpreting visual input, intelligent systems make use of contextual scene learning, which significantly improves both resilience and context awareness. The management of enormous amounts of data is a driving force behin
Externí odkaz:
https://doaj.org/article/22295f5bb1b24d0f887e819472ae02f5
Autor:
Adnan Ahmed Rafique, Amal Al-Rasheed, Amel Ksibi, Manel Ayadi, Ahmad Jalal, Khaled Alnowaiser, Hossam Meshref, Mohammad Shorfuzzaman, Munkhjargal Gochoo, Jeongmin Park
Publikováno v:
IEEE Access, Vol 11, Pp 2993-3007 (2023)
Increased traffic density, combined with global population development, has resulted in increasingly congested roads, increased air pollution, and increased accidents. Globally, the overall number of automobiles has expanded dramatically during the l
Externí odkaz:
https://doaj.org/article/4fd34261206544d5b203425787ac317b
Publikováno v:
IEEE Access, Vol 9, Pp 27758-27772 (2021)
With advances in machine vision systems (e.g., artificial eye, unmanned aerial vehicles, surveillance monitoring) scene semantic recognition (SSR) technology has attracted much attention due to its related applications such as autonomous driving, tou
Externí odkaz:
https://doaj.org/article/08dcae2caafa41bca5cc95f75af74a67
Autor:
Yazeed Yasin Ghadi, Adnan Ahmed Rafique, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1550 (2022)
The latest visionary technologies have made an evident impact on remote sensing scene classification. Scene classification is one of the most challenging yet important tasks in understanding high-resolution aerial and remote sensing scenes. In this d
Externí odkaz:
https://doaj.org/article/8dc6b75742964a42bcb6869a90043d88
Publikováno v:
Symmetry, Vol 12, Iss 11, p 1928 (2020)
Object recognition in depth images is challenging and persistent task in machine vision, robotics, and automation of sustainability. Object recognition tasks are a challenging part of various multimedia technologies for video surveillance, human–co
Externí odkaz:
https://doaj.org/article/654de008029e41c4b28f8544bdf77c0a
Publikováno v:
Multimedia Tools and Applications. 82:13401-13430
Autor:
Adnan Ahmed Rafique, Yazeed Yasin Ghadi, Suliman A. Alsuhibany, Samia Allaoua Chelloug, Ahmad Jalal, Jeongmin Park
Publikováno v:
Computers, Materials & Continua. 73:4657-4675
Publikováno v:
2022 24th International Multitopic Conference (INMIC).
Publikováno v:
IEEE Access, Vol 9, Pp 27758-27772 (2021)
With advances in machine vision systems (e.g., artificial eye, unmanned aerial vehicles, surveillance monitoring) scene semantic recognition (SSR) technology has attracted much attention due to its related applications such as autonomous driving, tou
Publikováno v:
2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
With the advancement of technology, intelligence capabilities of machines are growing day by day. Researchers are committed to equip the machines with the capability of thinking humanly. Currently, the machines can sense and process information gathe