Saqib, M. Et Al. 2022. Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake. ACTA GEODAETICA ET GEOPHYSICA , vol.57, no.1 , 195-213.

Saqib, M., ŞENTÜRK, E., Sahu, S. A., & Adil, M. A., (2022). Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake. ACTA GEODAETICA ET GEOPHYSICA , vol.57, no.1, 195-213.

Saqib, Mohd Et Al. "Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake," ACTA GEODAETICA ET GEOPHYSICA , vol.57, no.1, 195-213, 2022

Saqib, Mohd Et Al. "Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake." ACTA GEODAETICA ET GEOPHYSICA , vol.57, no.1, pp.195-213, 2022

Saqib, M. Et Al. (2022) . "Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake." ACTA GEODAETICA ET GEOPHYSICA , vol.57, no.1, pp.195-213.

@article{article, author={Mohd Saqib Et Al. }, title={Comparisons of autoregressive integrated moving average (ARIMA) and long short term memory (LSTM) network models for ionospheric anomalies detection: a study on Haiti (M-w=7.0) earthquake}, journal={ACTA GEODAETICA ET GEOPHYSICA}, year=2022, pages={195-213} }