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Francesco D'Amore

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

124

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Patterns and Trends of Atmospheric Mercury in the Gmos Network: Insights Based on a Decade of Measurements

Number of pages: 33 Posted: 30 Apr 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Univ Grenoble Alpes, affiliation not provided to SSRN, Universidad Nacional del Comahue - INIBIOMA, Univ Grenoble Alpes, Helmholtz-Zentrum Hereon, CNR-Institute of Atmospheric Pollution Research (CNR-IIA), affiliation not provided to SSRN, South African Weather Service, affiliation not provided to SSRN, South African Weather Service, CNR-Institute of Atmospheric Pollution Research (CNR-IIA), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Macquarie University, Aarhus University, University of York, affiliation not provided to SSRN, Aarhus University, CNR-Institute of Atmospheric Pollution Research (CNR-IIA), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 74 (844,901)

Abstract:

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atmospheric mercury, global mercury observation system (GMOS), latitudinal regions, hemispheric gradient, temporal trends, seasonal variability

2.

Assessing Projected Quantum Kernels for the Classification of IoT Data

Number of pages: 24 Posted: 17 Oct 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Calabria, affiliation not provided to SSRN, University of Calabria and affiliation not provided to SSRN
Downloads 29 (1,332,057)

Abstract:

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IoT, quantum computing, quantum machine learning, kernels, projected quantum kernel

3.

Assessing Projected Quantum Kernels for the Classification of Iot Data

Number of pages: 24 Posted: 02 Jul 2025
Francesco D'Amore
affiliation not provided to SSRN
Downloads 21 (1,436,435)

Abstract:

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IoT, quantum computing, quantum machine learning, kernels, projected quantum kernel