Zobrazeno 1 - 10
of 310
pro vyhledávání: '"applied machine learning"'
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 155-170 (2024)
When there are multiple lanes to choose from downstream of a turning movement, drivers should choose the innermost lane so that drivers at other approaches of the intersection may make concurrent turning movements in the outermost lane(s). However, h
Externí odkaz:
https://doaj.org/article/0e9b614bf4704639b0a1fcb27df0e594
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1799 (2024)
Intrusion Detection Systems (IDSs) play a crucial role in safeguarding network infrastructures from cyber threats and ensuring the integrity of highly sensitive data. Conventional IDS technologies, although successful in achieving high levels of accu
Externí odkaz:
https://doaj.org/article/53c45b9fbeab456cb79be52c281aec14
Autor:
Haoyu Chen, Stacy Lindshield, Papa Ibnou Ndiaye, Yaya Hamady Ndiaye, Jill D. Pruetz, Amy R. Reibman
Publikováno v:
AI, Vol 4, Iss 3, Pp 574-597 (2023)
Few-shot learning (FSL) describes the challenge of learning a new task using a minimum amount of labeled data, and we have observed significant progress made in this area. In this paper, we explore the effectiveness of the FSL theory by considering a
Externí odkaz:
https://doaj.org/article/a0b75d9c4bc743efa188988540a2a70f
Publikováno v:
CivilEng, Vol 4, Iss 1, Pp 345-358 (2023)
The mathematical study known as queueing theory has recently become a major point of interest for many government agencies and private companies for increasing efficiency. One such application is vehicle queueing at an international port-of-entry (PO
Externí odkaz:
https://doaj.org/article/ab8ba7273fa5468e8e11260b329cf152
Publikováno v:
Information, Vol 15, Iss 4, p 203 (2024)
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applie
Externí odkaz:
https://doaj.org/article/0376a6a4619b4bf58cfc68128ca67858
Autor:
Islam Elgarhy, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Mostafa M. Fouda, Maazen Alsabaan, Hisham A. Kholidy
Publikováno v:
IEEE Access, Vol 11, Pp 112147-112164 (2023)
In smart power grids, electricity theft causes huge economic losses to electrical utility companies. Machine learning (ML), especially deep neural network (DNN) models hold state-of-the-art performance in detecting electricity theft cyberattacks. How
Externí odkaz:
https://doaj.org/article/f0f799ac3889422990a13bc6cc31349a
Autor:
Qazi Waqas Khan, Bong Wan Kim, Rashid Ahmed, Atif Rizwan, Anam Nawaz Khan, Kwangsoo Kim, Do-Hyeun Kim
Publikováno v:
IEEE Access, Vol 11, Pp 76703-76721 (2023)
Water drilling machines are used to drill boreholes in the ground to extract groundwater. The resources required for water drilling vary from region to region due to underground water table depth and ground soil layer. Water drilling on a hard underg
Externí odkaz:
https://doaj.org/article/78f23953b4bb4dd6bed37212361dcdb5
Autor:
Alsafwan, Khadijah Ahmad
Software development is driven by the development team's decisions. Communicating the rationale behind these decisions is essential for the projects success. Although the software engineering community recognizes the need and importance of rationale,
Externí odkaz:
http://hdl.handle.net/10919/116107
Akademický článek
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Autor:
Srijan Kumar
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
My research develops data mining, AI, and applied machine learning methods to combat malicious actors (sockpuppets, ban evaders, etc.) and dangerous content (misinformation, hate, etc.) on web platforms. My vision is to create a trustworthy online ec
Externí odkaz:
https://doaj.org/article/7a811b69ec174e289b15eaaae1d342d9