Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Srishti Ganguly"'
Autor:
Shin Zert Phua, Kok Foong Lee, Yi-Kai Tsai, Srishti Ganguly, Jingya Yan, Sebastian Mosbach, Trina Ng, Aurel Moise, Benjamin P. Horton, Markus Kraft
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7815 (2024)
This paper explores the application of The World Avatar (TWA) dynamic knowledge graph to connect isolated data and assess the impact of rising sea levels in Singapore. Current sea level rise vulnerability assessment tools are often regional, narrow i
Externí odkaz:
https://doaj.org/article/6032b0bde43e4468bad0bf6c57c2c0db
Autor:
Markus Hofmeister, Jiaru Bai, George Brownbridge, Sebastian Mosbach, Kok F. Lee, Feroz Farazi, Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, Markus Kraft
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
This article proposes a framework of linked software agents that continuously interact with an underlying knowledge graph to automatically assess the impacts of potential flooding events. It builds on the idea of connected digital twins based on the
Externí odkaz:
https://doaj.org/article/f911f0803d714cef995cd2b0901a431b
Autor:
Marcel Dix, Srishti Ganguly
Publikováno v:
atp magazin. 63:60-67
Die jüngsten Fortschritte bei industriellen Prozesssteuerungssystemen haben zu großen Mengen an Produktionsdaten geführt, insbesondere zu Zeitreihendaten von verschiedenen Geräten in einer Prozessanlage. Diese Daten bieten die Möglichkeit für K
Autor:
Srishti Ganguly, Ashish Chouhan, Devika Saraswat, Sripada Pradhan, Surbhi Agrawal, Marcel Dix, Ajinkya Prabhune
Publikováno v:
BigDataService
Industrial process control systems collect a vast amount of production data, especially time-series data from various sensors in a plant. This data provides a plethora of potential use cases for AI and machine learning that can help plant operators b