Subhashis Banerjee
Biographic Data
| ID | 4265091 |
|---|---|
| NAME | Subhashis Banerjee |
| GIVEN NAMES | Subhashis |
| FAMILY NAME | Banerjee |
| SIGNATURE | BANERJEE S |
| AFFILIATIONS | Ashoka University |
| ORCID | 0000-0002-2358-2096 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Reading Jibanananda Das Through Plant Humanities
This paper critically examines the poetry of Jibanananda Das through the interdisciplinary framework of Plant Humanities, arguing that his poetic imagination foregrounds vegetal life as an active ecological and epistemic presence rather than merely decorative imagery. Situated within the agrarian ecology of Bengal, Das’s poetry repeatedly invokes trees, grasses, riverside vegetation, birds and seasonal flora as repositories of memory, temporality…
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …
Reading Jibanananda Das Through Plant Humanities
This paper critically examines the poetry of Jibanananda Das through the interdisciplinary framework of Plant Humanities, arguing that his poetic imagination foregrounds vegetal life as an active ecological and epistemic presence rather than merely decorative imagery. Situated within the agrarian ecology of Bengal, Das’s poetry repeatedly invokes trees, grasses, riverside vegetation, birds and seasonal flora as repositories of memory, temporality…
Anthropocentrism (1 works) · Artificial Intelligence (1 works) · Cartography (1 works) · Census (1 works) · Computer Science (1 works) · Consciousness (1 works) · Data science (1 works) · Data set (1 works) · Deep learning (1 works) · Ecocriticism (1 works)