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Forecasting temperature anomalies of planet Earth: A Compar..:

, In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO),

Panda, Anindita ; Deepanshu ; Varshney, Ashwani. - p. 1-6 , 2021

Link: https://doi.org/10.1109/ICRITO51393.2021.9596567

RT 
T1 <cTitle>2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Forecasting temperature anomalies of planet Earth: A Comparative Analysis of AI Models</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9596567&Exemplar=1&LAN=DE
				
A1 Panda, Anindita
A1 Deepanshu
A1 Varshney, Ashwani
A1 Gaur, Vibha
YR 2021
K1 Earth
K1 Temperature distribution
K1 Smoothing methods
K1 Time series analysis
K1 Neural networks
K1 Predictive models
K1 Performance analysis
K1 Climate change
K1 Long-Short Term Memory (LSTM)
K1 Gated Recurrent Unit (GRU)
K1 Seasonal Auto-Regressive Integrated Moving Average with eXogenous factors (SARIMAX)
K1 Recurrent Neural Network (RNN)
K1 Bidirectional LSTM (Bi-LSTM)
K1 Stacked LSTM (S-LSTM)
K1 Stacked GRU (S-GRU)
K1 Stacked Bidirectional LSTM (SBi-LSTM)
K1 Stacked Bidirectional GRU (SBi-GRU)
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/ICRITO51393.2021.9596567
DO https://doi.org/10.1109/ICRITO51393.2021.9596567
SF ELIB - SuUB Bremen

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