most citedNear-Infrared Photometry of Globular Clusters Towards the Galactic Bulge: Observations and Photometric Metallicity Indicators

74 citations · 113 across the 3 of their papers we have counts for

collaborators

9 papers

astro-ph.GA202438 cited

The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy

R. K. Saito, M. Hempel, J. Alonso-García +143

The ESO public survey VISTA Variables in the Vía Láctea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from . Upon its conclusion, the c…

eess.SP20241 cited

A Hybrid MLP-Quantum approach in Graph Convolutional Neural Networks for Oceanic Nino Index (ONI) prediction

Francesco Mauro, Alessandro Sebastianelli, Bertrand Le Saux +2

This paper explores an innovative fusion of Quantum Computing (QC) and Artificial Intelligence (AI) through the development of a Hybrid Quantum Graph Convolutional Neural Network (…

cs.CV2024

Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping

Luigi Russo, Francesco Mauro, Babak Memar +3

Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity…

astro-ph.GA2023

CAPOS: The bulge Cluster APOgee Survey IV. Elemental Abundances of the bulge globular cluster NGC 6558

Danilo González-Díaz, José G. Fernández-Trincado, Sandro Villanova +12

This study presents the results concerning six red giant stars members of the globular cluster NGC 6558. Our analysis utilized high-resolution near-infrared spectra obtained throug…

eess.IV20233 cited

A Machine Learning Approach to Long-Term Drought Prediction using Normalized Difference Indices Computed on a Spatiotemporal Dataset

Veronica Wairimu Muriga, Benjamin Rich, Francesco Mauro +2

Climate change and increases in drought conditions affect the lives of many and are closely tied to global agricultural output and livestock production. This research presents a no…

eess.SP2023

SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis

Francesco Mauro, Benjamin Rich, Veronica Wairimu Muriga +2

Climate change has caused disruption in certain weather patterns, leading to extreme weather events like flooding and drought in different parts of the world. In this paper, we pro…