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Md Abrarul Hoque
Observed name:
Hoque, Md. Abrarul
Institution:
European University of Bangladesh
Observed institution:
European University of Bangladesh
ORCID:
0009-0003-7512-0824
Observed ORCID:
0009-0003-7512-0824
OpenAlex ID:
A5113414464
Enhanced Forecasting of Groundwater Level Incorporating an Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models
2024
·
Md Abrarul Hoque
, Asib Ahmmed Apon
, et al.
·
Geographies
·
6
PDF
Assessment of groundwater level variation by ANN and ARIMA modeling coupled with Mann-Kendall trend analysis and GIS spatial interpolation
2026
·
Md Abrarul Hoque
, Rubinoor Islam
, et al.
·
H2Open Journal
·
5
Changing patterns of meteorological droughts across the northern part of Bangladesh using RAI and SPI-based indices
2026
·
Md Abrarul Hoque
, Sajal Kumar Adhikary
, et al.
·
Theoretical and Applied Climatology
·
2
Spatio-temporal rainfall variability and trends in northern part of Bangladesh: A statistical and GIS perspective
2026
·
Md Abrarul Hoque
, Sajal Kumar Adhikary
, et al.
·
H2Open Journal
PDF
Extreme drought dynamics in the northern part of Bangladesh: Long-term spatiotemporal characteristics and forecasted changes using SPI and RAI-based dual index-driven Mann-Kendall and ANN approach
2026
·
Md Abrarul Hoque
, Md. Abul Kalam Azad
, et al.
·
H2Open Journal
PDF
Characterizing seasonal spatiotemporal rainfall dynamics through integrated analysis of precipitation concentration, trend detection, and change-point assessment
2026
·
Md Abrarul Hoque
·
H2Open Journal
PDF
Data Used
2025
·
Hoque, Md. Abrarul
·
Zenodo (CERN European Organization for Nuclear Research)
Enhanced Forecasting of Groundwater Level Incorporating Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models
2024
·
Md Abrarul Hoque
, Asib Ahmmed Apon
, et al.
·
Preprints.org
PDF
Enhanced Forecasting of Groundwater Level Incorporating Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models
2024
·
Md Abrarul Hoque
, Asib Ahmmed Apon
, et al.
·
Preprints.org
PDF
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Works count:
9
Citation count:
13
H-index:
2
I10-index:
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