Atiqur Rahman

Atmospheric Science · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 15 citations into it
• Global and Planetary Change — 14 citations into it
• Environmental Engineering — 5 citations into it

Whom Atiqur Rahman trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zekâi Sen (in Global and Planetary Change)
2. C. Onyutha (in Global and Planetary Change)

Papers from Atiqur Rahman's perspective

Ordered by how strongly the researchers Atiqur Rahman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. An assessment of support vector machines for land cover classification
3. Support vector machines in remote sensing: A review
4. A survey of image classification methods and techniques for improving classification performance
5. Trend Identification Simulation and Application
6. Selection of classification techniques for land use - land cover change investigation
7. Classification and Regression by randomForest
8. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
9. Estimates of the Regression Coefficient Based on Kendall's Tau
10. PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data

Their papers

• Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations - A Review (2020) — 1,016 citations
• Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches (2020) — 346 citations