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Abu Reza Md. Towfiqul Islam

Researcher at Begum Rokeya University

Publications -  266
Citations -  4910

Abu Reza Md. Towfiqul Islam is an academic researcher from Begum Rokeya University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 22, co-authored 123 publications receiving 1633 citations. Previous affiliations of Abu Reza Md. Towfiqul Islam include Nanjing University of Information Science and Technology & Universiti Teknologi Malaysia.

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Land degradation risk dynamics assessment in red and lateritic zones of eastern plateau, India: A combine approach of K-fold CV, data mining and field validation

TL;DR: In this paper , a land degradation susceptibility maps for the gravely undulating red and lateritic agro-climatic zones (ACZ) of the Eastern plateau, India using hybrid techniques, i.e., integration of K-Fold cross-validation (CV) and machine learning algorithms of Reduced Error Pruning Tree (REPTree) and the ensemble of Bagging-REPTrees and Boosting-REptree.
Posted ContentDOI

Spatiotemporal Trends of Temperature Extremes in Bangladesh Under Changing Climate Using Multi-statistical Techniques

TL;DR: In this paper, the daily maximum and minimum temperature datasets of 27 sites in Bangladesh were used to detect spatiotemporal trends of temperature extremes over Bangladesh during 1980-2017 based on ten temperature extreme indices using multi-statistical modeling namely linear regression, Pearson correlation coefficient, and factor analyses.
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Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales

TL;DR: In this paper, the authors investigated the spatiotemporal variabilities of TS days over Bangladesh and their connection with El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD).
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Assessment of mapping of annual average rainfall in a tropical country like Bangladesh: remotely sensed output vs. kriging estimate

TL;DR: In this article, a multivariate kriging approach, Kriging with external drift (KED), which can take covariates to good effect for the spatial interpolation was investigated.