Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ghazala Rafiq"'
Publikováno v:
IEEE Access, Vol 11, Pp 61437-61452 (2023)
A thorough analysis and comprehension of the entire cue set in visual data are indispensable for an ideal video description model. As outlined in recent algorithm proposals, video descriptions have primarily been generated by learning RGB and optical
Externí odkaz:
https://doaj.org/article/3f99bdf886a04a6693df2492e959761f
Publikováno v:
IEEE Access, Vol 10, Pp 107361-107375 (2022)
Video description is one of the most challenging task in the combined domain of computer vision and natural language processing. Captions for various open and constrained domain videos have been generated in the recent past but descriptions for drivi
Externí odkaz:
https://doaj.org/article/74196cb356ad4e4781ccc90175ee74c6
Publikováno v:
IEEE Access, Vol 10, Pp 15084-15095 (2022)
Recent research to solve the parametric partial differential equations shifted the focus of conventional neural networks from finite-dimensional Euclidean space to generalized functional spaces. Neural operators learn the generalized function mapping
Externí odkaz:
https://doaj.org/article/13148aae7e844bcda9f5546360930f59
Publikováno v:
IEEE Access, Vol 10, Pp 22247-22259 (2022)
Solving parametric partial differential equations using artificial intelligence is taking the pace. It is primarily because conventional numerical solvers are computationally expensive and require significant time to converge a solution. However, phy
Externí odkaz:
https://doaj.org/article/0e5cba7d7ad44bcd8225fb70dbcbe6c8
Publikováno v:
IEEE Access, Vol 9, Pp 121665-121685 (2021)
Rapid expansion and the novel phenomenon of deep learning have manifested a variety of proposals and concerns in the area of video description, particularly in the recent past. Automatic event localization and textual alternatives generation for the
Externí odkaz:
https://doaj.org/article/c78f332a74b94752b07bbbe9655658a1
Autor:
Hafiz Muhammad Uzair Ayub, Muhammad Rafiq, Muhammad Abdul Qyyum, Ghazala Rafiq, Gyu Sang Choi, Moonyong Lee
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Alternative renewable fuels like biomass have the potential to be considered for electricity generation by replacing the utilization of fossil fuels and reducing the greenhouse gas emissions into the environment. An integrated biomass gasification po
Externí odkaz:
https://doaj.org/article/e6b6c941f90c487f99415e05b23eb093
Publikováno v:
Sensors, Vol 20, Iss 6, p 1702 (2020)
This paper proposes a novel method for sports video scene classification with the particular intention of video summarization. Creating and publishing a shorter version of the video is more interesting than a full version due to instant entertainment
Externí odkaz:
https://doaj.org/article/5ac1cbf513ca47d9b6798e313dfd22e6
Publikováno v:
Artificial Intelligence Review.
Video description refers to understanding visual content and transforming that acquired understanding into automatic textual narration. It bridges the key AI fields of computer vision and natural language processing in conjunction with real-time and
Publikováno v:
IEEE Access. 9:121665-121685
Rapid expansion and the novel phenomenon of deep learning have manifested a variety of proposals and concerns in the area of video description, particularly in the recent past. Automatic event localization and textual alternatives generation for the
Autor:
Yousaf Bin Zikria, Gyu Sang Choi, Muhammad Rafiq, Sung Won Kim, Hafiz Muhammad ur Rehman, Ghazala Rafiq
Publikováno v:
IoT Technologies in Smart Cities: From sensors to big data, security and trust ISBN: 9781785618697
Advancements in sensor network have evolved rapidly in recent years, and devices are smart enough to build and manage their network and route optimization referred to as Internet of Things (IoT). Numerous IoT operating systems (OSs) are developed for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efd1cb62176278902b5b9ec8d4c30f17
https://doi.org/10.1049/pbce128e_ch4
https://doi.org/10.1049/pbce128e_ch4