Browsing Camborne School of Mines by Author "Eyre, M"

Now showing items 1-18 of 18

    Issue DateTitleAuthor(s)
    22 August 2019Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope  Robiati, C; Eyre, M; Vanneschi, C; et al.
    23 August 2019Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning  Gallwey, J; Eyre, M; Tonkins, M; et al.
    1 May 2018A combined field/remote sensing approach for characterizing landslide risk in coastal areas  Francioni, M; Coggan, J; Eyre, M; et al.
    16 November 2016Evaluation of automated underground mapping solutions for mining and civil engineering applications  Eyre, M; Wetherelt, A; Coggan, J
    16 May 2018From boatyard to museum: 3D laser scanning and digital modelling of the Qatar Museums watercraft collection, Doha, Qatar  Cooper, J; Wetherelt, A; Zazzaro, C; et al.
    11 May 2021The importance of tectonic inheritance and reactivation in geothermal energy exploration for EGS resources in SW England  Yeomans, CM; Shail, RK; Eyre, M
    1 December 2016The Integration of Laser Scanning and 3D Models in the Legal Process following an Industrial Accident  Eyre, M; Foster, P; Speake, G; et al.
    11 May 2019Investigation and modeling of direct toppling using a three-dimensional distinct element approach with incorporation of point cloud geometry  Vanneschi, C; Eyre, M; Venn, A; et al.
    6 August 2018Investigation of landslide failure mechanisms adjacent to lignite mining operations in North Bohemia (Czech Republic) through a limit equilibrium/finite element modelling approach  Vanneschi, C; Eyre, M; Burda, J; et al.
    27 August 2021Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels  Aguirre-Jofré, H; Eyre, M; Valerio, S; et al.
    13 October 2020A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine  Gallwey, J; Eyre, M; Coggan, J
    27 December 2021Modelling discontinuity control on the development of Hell’s Mouth landslide  He, L; Coggan, J; Stead, D; et al.
    2 July 2019A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy  Francioni, M; Calamita, F; Coggan, JS; et al.
    1 July 2016A multi-scale and multi-disciplinary approach for the study and monitoring of rocky coastlines  Francioni, M; Coggan, JS; Eyre, M; et al.
    1 July 2016Remote sensing techniques in underground mining: Application of terrestrial LIDAR for stability analysis and optimization of excavation activities  Vanneschi, C; Coggan, J; Mastrorocco, G; et al.
    16 July 2020A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining  Gallwey, J; Robiati, C; Coggan, J; et al.
    21 June 2017The Use of Remote Sensing Techniques for Monitoring and Characterization of Slope Instability  Vanneschi, C; Eyre, M; Francioni, M; et al.
    14 August 2020Using deep learning and Hough transformations to infer mineralised veins from LiDAR data over historic mining areas  Gallwey, J; Yeomans, C; Tonkins, M; et al.