Zobrazeno 1 - 10
of 458
pro vyhledávání: '"Ajith Kumar P"'
Autor:
Sukhpal Singh Gill, Huaming Wu, Panos Patros, Carlo Ottaviani, Priyansh Arora, Victor Casamayor Pujol, David Haunschild, Ajith Kumar Parlikad, Oktay Cetinkaya, Hanan Lutfiyya, Vlado Stankovski, Ruidong Li, Yuemin Ding, Junaid Qadir, Ajith Abraham, Soumya K. Ghosh, Houbing Herbert Song, Rizos Sakellariou, Omer Rana, Joel J.P.C. Rodrigues, Salil S. Kanhere, Schahram Dustdar, Steve Uhlig, Kotagiri Ramamohanarao, Rajkumar Buyya
Publikováno v:
Telematics and Informatics Reports, Vol 13, Iss , Pp 100116- (2024)
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technologic
Externí odkaz:
https://doaj.org/article/17600525574a4e82849b95f50e2b55a5
Publikováno v:
Supply Chain Analytics, Vol 4, Iss , Pp 100050- (2023)
While consolidation strategies form the backbone of many supply chain optimisation problems, exploitation of multi-tier material relationships through consolidation remains an understudied area, despite being a prominent feature of industries that pr
Externí odkaz:
https://doaj.org/article/04dd5e7f41fd4b25b57d0d456e520bd7
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Autor:
Deepraj Chowdhury, Anik Das, Ajoy Dey, Soham Banerjee, Muhammed Golec, Dimitrios Kollias, Mohit Kumar, Guneet Kaur, Rupinder Kaur, Rajesh Chand Arya, Gurleen Wander, Praneet Wander, Gurpreet Singh Wander, Ajith Kumar Parlikad, Sukhpal Singh Gill, Steve Uhlig
Publikováno v:
BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 3, Iss 2, Pp 100119- (2023)
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest X-ray (CXR) images with deep learning
Externí odkaz:
https://doaj.org/article/fc6239f292c74eb79f074a8898bff312
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 3, Iss 2, Pp 175-183 (2021)
Abstract Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics modul
Externí odkaz:
https://doaj.org/article/fc1b2903bd8d43119867f9295df1028c
Autor:
Marco Perez Hernandez, Duncan Mcfarlane, Ajith Kumar Parlikad, Manuel Herrera, Amit Kumar Jain
Publikováno v:
IEEE Access, Vol 9, Pp 30511-30527 (2021)
Agent-based systems have been widely used to develop industrial control systems when they are required to address issues such as flexibility, scalability and portability. The most common approach to develop such control systems is with agents embedde
Externí odkaz:
https://doaj.org/article/ff9611b9a74c4ba7bb0e3b3be2e183fa
Publikováno v:
IEEE Access, Vol 9, Pp 8997-9011 (2021)
This article proposes a framework to analyse traffic-data processes on a long-haul backbone infrastructure network providing internet services at a national level. This type of network requires low latency and fast speed, which means there is a large
Externí odkaz:
https://doaj.org/article/0b6a868dd82e42d19e7433a18ebc11d1
Publikováno v:
Data-Centric Engineering, Vol 1 (2020)
Anomaly detection in asset condition data is critical for reliable industrial asset operations. But statistical anomaly classifiers require certain amount of normal operations training data before acceptable accuracy can be achieved. The necessary tr
Externí odkaz:
https://doaj.org/article/3c08bcbd049e46069c38ced2ffebca5f
Autor:
Gill, Sukhpal Singh, Wu, Huaming, Patros, Panos, Ottaviani, Carlo, Arora, Priyansh, Pujol, Victor Casamayor, Haunschild, David, Parlikad, Ajith Kumar, Cetinkaya, Oktay, Lutfiyya, Hanan, Stankovski, Vlado, Li, Ruidong, Ding, Yuemin, Qadir, Junaid, Abraham, Ajith, Ghosh, Soumya K., Song, Houbing Herbert, Sakellariou, Rizos, Rana, Omer, Rodrigues, Joel J. P. C., Kanhere, Salil S., Dustdar, Schahram, Uhlig, Steve, Ramamohanarao, Kotagiri, Buyya, Rajkumar
Publikováno v:
Elsevier Telematics and Informatics Reports, Volume 13, March 2024
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technologic
Externí odkaz:
http://arxiv.org/abs/2401.02469
Publikováno v:
Journal of Heat and Mass Transfer Research, Vol 11, Iss 2, Pp 211-224 (2024)
The engine fin is an essential component that significantly impacts the cooling system's effectiveness and overall performance. Although the engine fin is used to dissipate heat generated, an attempt to enhance the effective surface area for the fin
Externí odkaz:
https://doaj.org/article/aada8a7c4a734c04983f2a89d44e99b8
Publikováno v:
Applied Sciences, Vol 10, Iss 22, p 8287 (2020)
Digital Twins (DT) are powerful tools to support asset managers in the operation and maintenance of cognitive buildings. Building Information Models (BIM) are critical for Asset Management (AM), especially when used in conjunction with Internet of Th
Externí odkaz:
https://doaj.org/article/e38ae195728a4478bbaa2cdd355a4351