Zobrazeno 1 - 10
of 13 601
pro vyhledávání: '"Ramzan, A."'
Autor:
Ramzan, Muhammad Umer, Khaddim, Wahab, Rana, Muhammad Ehsan, Ali, Usman, Ali, Manohar, Hassan, Fiaz ul, Mehmood, Fatima
This research paper addresses the significant challenge of accurately estimating poverty levels using deep learning, particularly in developing regions where traditional methods like household surveys are often costly, infrequent, and quickly become
Externí odkaz:
http://arxiv.org/abs/2411.19690
Autor:
Ramzan, Muhammad Umer, Zia, Ali, Khamis, Abdelwahed, Elgharabawy, yman, Liaqat, Ahmad, Ali, Usman
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convolutional Block Attention-based Auto-encoder Network (CA2N), our approac
Externí odkaz:
http://arxiv.org/abs/2411.19005
Autor:
Basheer, Ramzan, Mishra, Deepak
Euclidean deep learning is often inadequate for addressing real-world signals where the representation space is irregular and curved with complex topologies. Interpreting the geometric properties of such feature spaces has become paramount in obtaini
Externí odkaz:
http://arxiv.org/abs/2409.07327
Publikováno v:
Mobile Information Systems Mobile Information Systems, Volume 2022, Article ID 1609757, 20 pages
In the field of human-computer interaction (HCI), the usability assessment of m-learning (mobile-learning) applications is a real challenge. Such assessment typically involves extraction of the best features of an application like efficiency, effecti
Externí odkaz:
http://arxiv.org/abs/2404.16043
Autor:
Khan, Asad Ur Rehman, Ramzan, Muhammad, Iqbal, Muhammad Faisal, Hafeez, Muhammad, Fadhali, Mohammed M., Somaily, Hamoud H., Javid, Muhammad, Mukhtar, Muhammad Waqas, Saleem, Muhammad Farooq
Zinc sulfide ZnS thin films with variable structural, optical, electrical, and thermoelectric properties were obtained by changing the source to substrate SSD distance in the physical vaporthermal coating PVTC system. The films crystallized into a zi
Externí odkaz:
http://arxiv.org/abs/2404.02404
Autor:
Ramzan, Muhammad Umer, Ali, Usman, Naqvi, Syed Haider Abbas, Aslam, Zeeshan, Tehseen, Ali, Husnain, Faheem, Muhammad
The auto-management of vehicle entrance and parking in any organization is a complex challenge encompassing record-keeping, efficiency, and security concerns. Manual methods for tracking vehicles and finding parking spaces are slow and a waste of tim
Externí odkaz:
http://arxiv.org/abs/2312.02699
The constant surge in the traffic demand on cellular networks has led to continuous expansion in network capacity in order to accommodate existing and new service demands. This has given rise to ultra-dense base station deployment in 5G and beyond ne
Externí odkaz:
http://arxiv.org/abs/2311.14509
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and
Externí odkaz:
https://doaj.org/article/43c47e10e4014020b568748cff7e6a97
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-19 (2024)
Abstract Anemia detection using multimodal approaches leverages the integration of multiple data sources, such as imaging, clinical records, and hematological parameters, to improve diagnostic accuracy. Such methods can capture the complex interplay
Externí odkaz:
https://doaj.org/article/0a96f4939c674d93b8c98226c0df96aa
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 1-15 (2024)
This paper introduces the exponentiated Ailamujia distribution (EAD), extending the Ailamujia distribution (AD) to offer greater versatility in modeling positively skewed data. The core contribution lies in the rigorous derivation and examination of
Externí odkaz:
https://doaj.org/article/05854e383020451da88c3db0dbc102ff