Hasil Pencarian - F. Catani

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  1. 1
    Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues

    Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues oleh F. Catani, D. Lagomarsino, S. Segoni, V. Tofani

    Diterbitkan 2013-11-01
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  2. 2
    Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems

    Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems oleh G. Martelloni, S. Segoni, D. Lagomarsino, R. Fanti, F. Catani

    Diterbitkan 2013-03-01
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  3. 3
    HIRESSS: a physically based slope stability simulator for HPC applications

    HIRESSS: a physically based slope stability simulator for HPC applications oleh G. Rossi, F. Catani, L. Leoni, S. Segoni, V. Tofani

    Diterbitkan 2013-01-01
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  4. 4
    Technical Note: Use of remote sensing for landslide studies in Europe

    Technical Note: Use of remote sensing for landslide studies in Europe oleh V. Tofani, S. Segoni, A. Agostini, F. Catani, N. Casagli

    Diterbitkan 2013-02-01
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  5. 5
    Technology applications in shoulder replacement

    Technology applications in shoulder replacement oleh G. Porcellini, L. Tarallo, M. Novi, F. Spiezia, F. Catani

    Diterbitkan 2019-07-01
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  6. 6
    Distal biceps tendon rupture: advantages and drawbacks of the anatomical reinsertion with a modified double incision approach

    Distal biceps tendon rupture: advantages and drawbacks of the anatomical reinsertion with a modified double incision approach oleh L. Tarallo, M. Lombardi, F. Zambianchi, A. Giorgini, F. Catani

    Diterbitkan 2018-10-01
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  7. 7
    Isolation and characterization of selenate resistant mutants of Acremonium chrysogenum

    Isolation and characterization of selenate resistant mutants of Acremonium chrysogenum oleh Airton Vialta, Cleide F Catani, Renato B. Junior, João L Azevedo

    Diterbitkan 1999-01-01
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  8. 8
    Custom-made reverse shoulder arthroplasty for severe glenoid bone loss: review of the literature and our preliminary results

    Custom-made reverse shoulder arthroplasty for severe glenoid bone loss: review of the literature and our preliminary results oleh G. Porcellini, G. M. Micheloni, L. Tarallo, P. Paladini, G. Merolla, F. Catani

    Diterbitkan 2021-01-01
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  9. 9
    Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)

    Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy) oleh S. R. Meena, S. R. Meena, S. Puliero, K. Bhuyan, K. Bhuyan, M. Floris, F. Catani

    Diterbitkan 2022-04-01
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  10. 10
    Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting

    Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting oleh D. Lagomarsino, S. Segoni, A. Rosi, G. Rossi, A. Battistini, F. Catani, N. Casagli

    Diterbitkan 2015-10-01
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  11. 11
    Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

    Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds oleh S. Segoni, A. Battistini, G. Rossi, A. Rosi, D. Lagomarsino, F. Catani, S. Moretti, N. Casagli

    Diterbitkan 2015-04-01
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  12. 12
    Brief communication "A prototype forecasting chain for rainfall induced shallow landslides"

    Brief communication "A prototype forecasting chain for rainfall induced shallow landslides" oleh P. Mercogliano, S. Segoni, G. Rossi, B. Sikorsky, V. Tofani, P. Schiano, F. Catani, N. Casagli

    Diterbitkan 2013-03-01
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  13. 13
    HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery

    HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery oleh S. R. Meena, L. Nava, K. Bhuyan, S. Puliero, L. P. Soares, H. C. Dias, M. Floris, F. Catani

    Diterbitkan 2023-07-01
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  14. 14
    Towards a definition of a real-time forecasting network for rainfall induced shallow landslides

    Towards a definition of a real-time forecasting network for rainfall induced shallow landslides oleh S. Segoni, L. Leoni, A. I. Benedetti, F. Catani, G. Righini, G. Falorni, S. Gabellani, R. Rudari, F. Silvestro, N. Rebora

    Diterbitkan 2009-12-01
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  15. 15
    Application of a physically based model to forecast shallow landslides at a regional scale

    Application of a physically based model to forecast shallow landslides at a regional scale oleh T. Salvatici, V. Tofani, G. Rossi, M. D'Ambrosio, C. Tacconi Stefanelli, E. B. Masi, A. Rosi, V. Pazzi, P. Vannocci, M. Petrolo, F. Catani, S. Ratto, H. Stevenin, N. Casagli

    Diterbitkan 2018-07-01
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  16. 16
    A spatially explicit database of wind disturbances in European forests over the period 2000–2018

    A spatially explicit database of wind disturbances in European forests over the period 2000–2018 oleh G. Forzieri, M. Pecchi, M. Pecchi, M. Girardello, A. Mauri, M. Klaus, C. Nikolov, M. Rüetschi, B. Gardiner, B. Gardiner, J. Tomaštík, D. Small, C. Nistor, D. Jonikavicius, J. Spinoni, L. Feyen, F. Giannetti, R. Comino, A. Wolynski, F. Pirotti, F. Maistrelli, I. Savulescu, S. Wurpillot-Lucas, S. Karlsson, K. Zieba-Kulawik, P. Strejczek-Jazwinska, M. Mokroš, M. Mokroš, S. Franz, L. Krejci, I. Haidu, M. Nilsson, P. Wezyk, F. Catani, Y.-Y. Chen, S. Luyssaert, G. Chirici, A. Cescatti, P. S. A. Beck

    Diterbitkan 2020-02-01
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