Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kaustav Basu"'
Autor:
Apurba Barman, Archana Mishra, Rituparna Maiti, Jagannatha Sahoo, Kaustav Basu Thakur, Sreeja Kamala Sasidharan
Publikováno v:
Clinics in Shoulder and Elbow, Vol 25, Iss 1, Pp 73-89 (2022)
Background To evaluate the efficacy of autologous platelet-rich plasma (PRP) injections in the treatment of common shoulder diseases. Methods The PubMed, Medline, and Central databases and trial registries were searched from their inception to Octobe
Externí odkaz:
https://doaj.org/article/7734c89570dc41e490b404df653b2a22
Publikováno v:
Leprince, J, Miller, C, Madsen, H, Basu, K, Van Der Vlist, R & Zeiler, W 2022, Grey-Brick Buildings, an Open Data Set of Calibrated RC Models of Dutch Residential Building Heat Dynamics . in SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems . Association for Computing Machinery, pp. 1067-1071, 20th ACM Conference on Embedded Networked Sensor Systems, Boston, Massachusetts, United States, 06/11/2022 . https://doi.org/10.1145/3560905.3567760
Building thermal modeling is the founding stone upon which numerous carbon reduction strategies in the building sector are built. Yet, as of today, little to no interpretable and calibrated models founded on real-world measurements have been open-sou
Autor:
JulienLeprince, Henrik Madsen, Clayton Miller, Jaume Palmer Real, Rik Van Der Vlist, Kaustav Basu, Wim Zeiler
To reach thecarbon emissionreduction targets set by the European Union, the building sector has embraced multiple strategies such asbuilding retrofit,demand side management,model predictive control,and building load forecasting. All of which require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ed1c2a36f6675b048db72641d34239
Autor:
Julien Leprince, Henrik Madsen, Clayton Miller, Jaume Palmer Real, Rik van der Vlist, Kaustav Basu, Wim Zeiler
Publikováno v:
Energy and Buildings, 266:112095. Elsevier
Leprince, J, Madsen, H, Miller, C, Real, J P, van der Vlist, R, Basu, K & Zeiler, W 2022, ' Fifty shades of grey : Automated stochastic model identification of building heat dynamics ', Energy and Buildings, vol. 266, 112095 . https://doi.org/10.1016/j.enbuild.2022.112095
Leprince, J, Madsen, H, Miller, C, Real, J P, van der Vlist, R, Basu, K & Zeiler, W 2022, ' Fifty shades of grey : Automated stochastic model identification of building heat dynamics ', Energy and Buildings, vol. 266, 112095 . https://doi.org/10.1016/j.enbuild.2022.112095
To reach the carbon emission reduction targets set by the European Union, the building sector has embraced multiple strategies such as building retrofit, demand side management, model predictive control and building load forecasting. All of which req
Autor:
Arunabha Sen, Kaustav Basu
Publikováno v:
Social Networks. 64:42-54
The past couple of decades has witnessed an unprecedented rise in organized crime. This rise, coupled with increasing intricacies of organized crime, poses significant and evolving challenges for international law enforcement authorities. With the pa
Autor:
Kaustav Basu, Arunabha Sen
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 47:8-11
In this paper, the finer granularity of phasor measurement unit (PMU) data is exploited to develop a data-driven ap- proach for accurate health assessment of large power trans- formers(LPTs). There research demonstrates how variations in signal-to-no
Publikováno v:
International Journal of Critical Infrastructure Protection. 23:49-67
The power and communication networks are highly interdependent and form a part of the critical infrastructure of a country. Similarly, dependencies exist within the networks itself. It is essential to have a model which captures these dependencies pr
Publikováno v:
Towards Energy Smart Homes ISBN: 9783030764760
This chapter describes the state-of-the-art methods to forecast energy consumption and energy services in residential buildings. The review spans from model-based approaches—like building thermal simulation tools—to data-driven approaches—like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93867cf13708afc3ae49f7c0a03b54f8
https://doi.org/10.1007/978-3-030-76477-7_7
https://doi.org/10.1007/978-3-030-76477-7_7
Publikováno v:
DRCN
In a number of networking problems, one needs to find multiple paths between a source-destination node pair or multiple trees spanning all (or some of) the nodes of the network. Accordingly, a number of algorithms for generating (i) k shortest paths