output
20072026
most citedLand Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks

291 citations

Showing 2024Show all

12 papers · 1 filter

cs.CL2024

Adaptations of AI models for querying the LandMatrix database in natural language

Fatiha Ait Kbir, Jérémy Bourgoin, Rémy Decoupes +2

The Land Matrix initiative (https://landmatrix.org) and its global observatory aim to provide reliable data on large-scale land acquisitions to inform debates and actions in sector…

q-bio.PE2024★ 1 cited

Stabilization of macroscopic dynamics by fine-grained disorder in many-species ecosystems

Juan Giral Martínez, Silvia de Monte, Matthieu Barbier

A central feature of complex systems is the relevance and entanglement of different levels of description. For instance, the dynamics of ecosystems can be alternatively described i…

q-bio.PE2024★ 3 cited

Inner ear morphology in wild versus laboratory house mice

Sabrina Renaud, Léa Amar, Pascale Chevret +4

The semicircular canals of the inner ear are involved in balance and velocity control. Being crucial to ensure efficient mobility, their morphology exhibits an evolutionary conserv…

physics.soc-ph2024

Integrating problem structuring methods with formal design theory: collective water management policy design in Tunisia

Berkay Tosunlu, Joseph H. A. Guillaume, Alexis Tsoukiàs +4

Groundwater management, especially in regions like Tunisia, is challenging due to diverse stakeholder interests and the dry structure of climate, which is extremely challenging for…

eess.SP2024★ 8 cited

A novel approach to combine spatial and spectral information from hyperspectral images

Belal Gaci, Florent Abdelghafour, Maxime Ryckewaert +7

This article proposes a generic framework to process jointly the spatial and spectral information of hyperspectral images. First, sub-images are extracted. Then each of these sub-i…

cs.LG2024★ 2 cited

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?

Tanguy Lefort, Antoine Affouard, Benjamin Charlier +6

Deep learning models for plant species identification rely on large annotated datasets. The PlantNet system enables global data collection by allowing users to upload and annotate…