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pro vyhledávání: '"Kulkarni, Sumant"'
Demand forecasting applications have immensely benefited from the state-of-the-art Deep Learning methods used for time series forecasting. Traditional uni-modal models are predominantly seasonality driven which attempt to model the demand as a functi
Externí odkaz:
http://arxiv.org/abs/2210.11502
Publikováno v:
In Applied Mathematical Modelling June 2016 40(11-12):6134-6147
Publikováno v:
In Data & Knowledge Engineering July 2014 92:39-59
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2716 Issue 1, p1-10, 10p
Publikováno v:
In Biosensors and Bioelectronics 2004 19(11):1401-1407
Publikováno v:
ACM International Conference Proceeding Series; 1/11/2018, p146-156, 11p
Publikováno v:
Journal of the Institution of Engineers (India): Series A; Dec2017, Vol. 98 Issue 4, p413-428, 16p
Autor:
Kulkarni, Sumant, Srinivasa, Srinath, Khasnabish, Jyotiska Nath, Nagal, Kartikay, Kurdagi, Sandeep G
Publikováno v:
2014 IEEE 30th International Conference on Data Engineering Workshops; 2014, p90-93, 4p
Publikováno v:
On the Move to Meaningful Internet Systems: OTM 2013 Conferences; 2013, p703-710, 8p