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pro vyhledávání: '"ALI, Kashif"'
Graph contrastive learning (GCL) aims to contrast positive-negative counterparts to learn the node embeddings, whereas graph data augmentation methods are employed to generate these positive-negative samples. The variation, quantity, and quality of n
Externí odkaz:
http://arxiv.org/abs/2406.15044
Autor:
Ravikumar, Shruthi, Hamilton, Margaret, Thevathayan, Charles, Spichkova, Maria, Ali, Kashif, Wijesinghe, Gayan
Many students in introductory programming courses fare poorly in the code writing tasks of the final summative assessment. Such tasks are designed to assess whether novices have developed the analytical skills to translate from the given problem doma
Externí odkaz:
http://arxiv.org/abs/2404.02464
Autor:
Rohan, Ali, Rafaq, Muhammad Saad, Hasan, Md. Junayed, Asghar, Furqan, Bashir, Ali Kashif, Dottorini, Tania
Livestock health and welfare monitoring has traditionally been a labor-intensive task performed manually. Recent advances have led to the adoption of AI and computer vision techniques, particularly deep learning models, as decision-making tools withi
Externí odkaz:
http://arxiv.org/abs/2310.13483
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 792-806 (2024)
Vector maps find widespread utility across diverse domains due to their capacity to not only store but also represent discrete data boundaries such as building footprints, disaster impact analysis, digitization, urban planning, location points, trans
Externí odkaz:
https://doaj.org/article/b6b58bd3714644d9bd389917ba5c697e
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1234-1244 (2024)
Virtual Reality (VR) is a key industry for the development of the digital economy in the future. Mobile VR has advantages in terms of mobility, lightweight and cost-effectiveness, which has gradually become the mainstream implementation of VR. In thi
Externí odkaz:
https://doaj.org/article/3f77bc4438994834b4572bf95fca9c52
Autor:
Junchao Yuan, Lina Wang, Tingting Wang, Ali Kashif Bashir, Maryam M. Al Dabel, Jiaxing Wang, Hailin Feng, Kai Fang, Wei Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 385-397 (2025)
Pine wilt disease (PWD) poses a severe threat to the health of pine trees and has resulted in substantial losses to global pine forest resources. Due to the minute size of the pathogens and the concealed symptoms of PWD, early detection through remot
Externí odkaz:
https://doaj.org/article/9ffdd527606b4bcd99c5ec8cd96fd00c
Autor:
Ali, Kashif
Publikováno v:
foresight, 2024, Vol. 26, Issue 3, pp. 505-530.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/FS-09-2023-0180
Autor:
Bashir, Ali Kashif, Victor, Nancy, Bhattacharya, Sweta, Huynh-The, Thien, Chengoden, Rajeswari, Yenduri, Gokul, Maddikunta, Praveen Kumar Reddy, Pham, Quoc-Viet, Gadekallu, Thippa Reddy, Liyanage, Madhusanka
Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learning (FL), a new branch of artificial intelligence (AI), opens opportun
Externí odkaz:
http://arxiv.org/abs/2304.00524
Autor:
Hussain Syed M., Ali Kashif, Ahmad Sohail, Qureshi Muhammad Amer, Abd-Elmonem Assmaa, Jamshed Wasim, Alraddadi Ibrahim
Publikováno v:
Open Physics, Vol 22, Iss 1, Pp 21273-86 (2024)
This research endeavors to conduct an examination of the thermal characteristics within the duct filled with the copper nanoparticles and water as base fluid. In exhaust systems, like car exhausts, chimneys, and kitchen hoods, duct flows are crucial.
Externí odkaz:
https://doaj.org/article/3fde9de958944825b5dfe8e82219545f