|
|
|
|
|
Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc?h, Laetitia Thirion-Lefevre and Elise Colin
With an increase in the amount of natural disasters, the combined use of cloud-penetrating Synthetic Aperture Radar and deep learning becomes unavoidable for their monitoring. This article proposes a methodology for forest fire detection using unsupervis...
ver más
|
|
|
|
|
|
|
|
|
Swarnendu Ghosh, Teresa Gonçalves and Nibaran Das
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate&...
ver más
|
|
|
|
|
|
|
|
|
Matthieu Saumard
Speech Emotions Recognition (SER) has gained significant attention in the fields of human?computer interaction and speech processing. In this article, we present a novel approach to improve SER performance by interpreting the Mel Frequency Cepstral Coeff...
ver más
|
|
|
|
|
|
|
|
|
Kenneth Ekpetere, Mohamed Abdelkader, Sunday Ishaya, Edith Makwe and Peter Ekpetere
The long-term variability of lacustrine dynamics is influenced by hydro-climatological factors that affect the depth and spatial extent of water bodies. The primary objective of this study is to delineate lake area extent, utilizing a machine learning ap...
ver más
|
|
|
|
|
|
|
|
|
Mugdha P. Kshirsagar and Kanchan C. Khare
The present study is an attempt to model the stormwater quality of a stream located in Pune, India. The city is split up into twenty-three basins (named A to W) by the Pune Municipal Corporation. The selected stream lies in the haphazardly expanded peri-...
ver más
|
|
|
|