Particle swarm optimization (PSO) algorithm is widely used in cluster analysis. However, it
is a stochastic technique that is vulnerable to premature convergence to sub-optimal …

The differential evolution optimization-based clustering techniques are powerful, robust and
more sophisticated than the conventional clustering methods due to their stochastic and …

The main challenge encountered by Mediterranean winegrowers is water management.
Indeed, with climate change, drought events are becoming more intense each year, dragging …

Missing data is a recurrent problem in remote sensing, mainly due to cloud coverage for
multispectral images and acquisition problems. This can be a critical issue for crop monitoring, …

This paper studies the detection of anomalous crop development at the parcel-level based
on an unsupervised outlier detection technique. The experimental validation is conducted on …

Deriving a meaningful functional brain parcellation is a very challenging issue in task-related
fMRI analysis. The joint parcellation detection estimation model addresses this issue by …

Wine growing needs to adapt to confront climate change. In fact, the lack of water becomes
more and more important in many regions. Whereas vineyards have been located in dry …

Biophysical parameters and more specifically the leaf area index provide an absolute
quantification of the biomass of vegetation allowing an overview of the development status of a …

Brain parcellation into a number of hemodynamically homogeneous regions (parcels) is a
challenging issue in fMRI analyses. An automatic inference for the parcels from the fMRI data …

Brain parcellation into a number of hemodynamically homogeneous regions (parcels) is a
challenging issue in fMRI analyses. This task has been recently integrated in the joint …