output
20062026
most citedShape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming

25 citations

15 papers

hep-ex2026

Breaking barriers: the impact of ATLAS Virtual Visits in science communication

ATLAS Collaboration

The ATLAS Collaboration at CERN's Large Hadron Collider is at the forefront of particle physics research and is equally committed to bridging the gap between cutting-edge science a…

hep-ex2025★ 1 cited

Sensitivity to low-mass WIMPs with an improved liquid argon ionization response model within the DarkSide programme

F. Acerbi, P. Adhikari, P. Agnes +294

Dark matter detection experiments using liquid argon rely on a precise characterization of the ionization response to nuclear recoils, especially in the keV energy range relevant f…

math.NA2024★ 3 cited

Microwave Remote Sensing of Soil Moisture, Above Ground Biomass and Freeze-Thaw Dynamic: Modeling and Empirical Approaches

Laura Angeloni, Domenico Daniele Bloisi, Paolo Burghignoli +6

Human actions have accelerated changes in global temperature, precipitation patterns, and other critical Earth systems. Key markers of these changes can be linked to the dynamic of…

cs.AI2024★ 3 cited

Multi-Agent Planning Using Visual Language Models

Michele Brienza, Francesco Argenziano, Vincenzo Suriani +2

Large Language Models (LLMs) and Visual Language Models (VLMs) are attracting increasing interest due to their improving performance and applications across various domains and tas…

cs.CV2024★ 25 cited

Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming

Mulham Fawakherji, Vincenzo Suriani, Daniele Nardi +1

The use of deep learning methods for precision farming is gaining increasing interest. However, collecting training data in this application field is particularly challenging and c…

nucl-th2024★ 9 cited

Symmetry Energy from Two-Nucleon Separation Energies of Pb and Ca Isotopes

Myeong-Hwan Mun, Eunja Ha, H. Sagawa +2

We investigate the symmetry energy in relation with the two-proton and two-neutron separation energies using different nuclear mass data. For this aim, we exploit the deformed rela…