Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Chiheb, Raddouane"'
Deep learning techniques have proven their effectiveness for Sentiment Analysis (SA) related tasks. Recurrent neural networks (RNN), especially Long Short-Term Memory (LSTM) and Bidirectional LSTM, have become a reference for building accurate predic
Externí odkaz:
http://arxiv.org/abs/2211.11246
Publikováno v:
Expert Systems with Applications, 215, 119140 (2023)
It is unquestionable that time series forecasting is of paramount importance in many fields. The most used machine learning models to address time series forecasting tasks are Recurrent Neural Networks (RNNs). Typically, those models are built using
Externí odkaz:
http://arxiv.org/abs/2203.07844
Publikováno v:
In Expert Systems With Applications 1 April 2023 215
Publikováno v:
Journal of Humanitarian Logistics and Supply Chain Management, Vol 12, Iss 1, Pp 1-29 (2022)
Purpose – Hospitals recently search for more accurate forecasting systems, given the unpredictable demand and the increasing occurrence of disruptive incidents (mass casualty incidents, pandemics and natural disasters). Besides, the incorporation o
Externí odkaz:
https://doaj.org/article/ba5653b1ac5f46a1a22dad8a9407d59f
Publikováno v:
In Computers & Industrial Engineering January 2019 127:45-62
Publikováno v:
International Journal of Pervasive Computing and Communications, 2019, Vol. 15, Issue 2, pp. 58-79.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-06-2019-058
Publikováno v:
In Ain Shams Engineering Journal December 2018 9(4):2479-2490
Publikováno v:
Journal of Humanitarian Logistics and Supply Chain Management. 12:1-29
PurposeHospitals recently search for more accurate forecasting systems, given the unpredictable demand and the increasing occurrence of disruptive incidents (mass casualty incidents, pandemics and natural disasters). Besides, the incorporation of aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a938bc0335dd912cedbcc855d13ddea
https://doi.org/10.1108/jhlscm-12-2020-0123
https://doi.org/10.1108/jhlscm-12-2020-0123
It is unquestionable that time series forecasting is of paramount importance in many fields. The most used machine learning models to address time series forecasting tasks are Recurrent Neural Networks (RNNs). Typically, those models are built using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc423094315e091bee3ec29be491549
http://arxiv.org/abs/2203.07844
http://arxiv.org/abs/2203.07844
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Apr2021, Vol. 11 Issue 2, p1634-1640, 7p