Automatic Generation of Weekly Large-Scale Drought Monitor Maps Using Deep Learning and Multiple Open-Access Datasets

Automatic generation of thematic maps using Multi-Agent Systems

International audience Thematic maps are tools that allow various stakeholders to tra

Mapping National‐Scale Road Surface Types Using Multisource Open Data and Deep Learning Model

ABSTRACT Identifying road surface type (e.g., paved and unpaved) is crucial for

Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity

Improving global school connectivity is critical for ensuring inclusive and equitable quality educat

Mapping artisanal and small-scale mines at large scale from space with deep learning

Artisanal and small-scale mines ( asm ) are on the rise. They represent a crucial source of wealth f

Using Deep Learning Techniques to Monitor a Reforested Stand in Kenya

Deep learning for automatic interpretation of pure-tone audiometry using InceptionV3

Abstract Problem Deafness represents a public health issue b