Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shravan Sajja"'
Publikováno v:
Automatica. 106:257-265
In this paper we first derive some general Lyapunov based stability conditions for switched linear descriptor systems and illustrate them with a simple mechanical system. Next we develop simple conditions for specific classes of systems. In particula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89cac72e8d6051d53d6258dd324a1fe5
https://doi.org/10.1016/j.automatica.2019.05.004
https://doi.org/10.1016/j.automatica.2019.05.004
Autor:
Satyam Dwivedi, Kushagra Manglik, Vikas C. Raykar, Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee
Publikováno v:
COMAD/CODS
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, development and sourcing to finally reduce the probability of overproducin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88f346d1801c51c19a19ab70edc761f9
http://arxiv.org/abs/2008.07376
http://arxiv.org/abs/2008.07376
Autor:
Joe Naoum-Sawaya, Randy Cogill, Shravan Sajja, Pierpaolo Tommasi, Robert Shorten, Bissan Ghaddar, Nicole Taheri, Rudi Verago, Fabian Wirth
Publikováno v:
Transportation Research Part B: Methodological. 80:173-184
With the increasing fuel prices and the pressure towards greener modes of transportation, ridesharing has emerged as an alternative to private car ownership and public transportation. In this paper, we focus on a common destination ridesharing system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91cca26ce4f3d0efb3c59c05eddbdeb
https://doi.org/10.1016/j.trb.2015.07.001
https://doi.org/10.1016/j.trb.2015.07.001
Autor:
Shravan Sajja, Léa A. Deleris
Publikováno v:
Algorithmic Decision Theory ISBN: 9783319231136
ADT
ADT
In this paper, we present an approach to build the structure of a Bayesian network from multiple disparate inputs. Specifically, our method accepts as input multiple partially overlapping datasets with missing data along with expert opinions about th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8530707bf139a5c9127e3da44cca00b9
https://doi.org/10.1007/978-3-319-23114-3_8
https://doi.org/10.1007/978-3-319-23114-3_8