Susanta Mahato
Global and Planetary Change · 2020
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 40 citations into it; #6,954 of 10,225 by trust here, #9,126 by citations
- Atmospheric Science — 17 citations into it
- Environmental Engineering — 10 citations into it; #3,935 of 5,479 by trust here, #4,892 by citations
- Health, Toxicology and Mutagenesis — 9 citations into it; #858 of 1,398 by trust here, #1,356 by citations
Whom Susanta Mahato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Susanta Mahato overall
Papers from Susanta Mahato's perspective
Ordered by how strongly the researchers Susanta Mahato trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- An assessment of support vector machines for land cover classification
- Support vector machines in remote sensing: A review
- A survey of image classification methods and techniques for improving classification performance
- Selection of classification techniques for land use - land cover change investigation
- Classification and Regression by randomForest
- Trend Identification Simulation and Application
- Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
- PCA‐based land‐use change detection and analysis using multitemporal and multisensor satellite data
- Multiclass and Binary SVM Classification: Implications for Training and Classification Users (IEEE Geoscience and Remote Sensing Letters)
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
- Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India (2020) — 1,040 citations
- Flood susceptibility modelling using advanced ensemble machine learning models (2020) — 483 citations