TECNOLOGÍA MINERA, TOPOG. Y ESTRUCTURAS

2024

1. A Handheld Laser-Scanning-Based Methodology for Monitoring Tree Growth in Chestnut Orchards

   Sensors, Vol. 24, Núm. 6

2. A novel heuristic tool for selecting the best upgrading conditions for the removal of potentially toxic elements by soil washing

   Journal of Hazardous Materials, Vol. 466

3. Field-Deployed Spectroscopy from 350 to 2500 nm: A Promising Technique for Early Identification of Powdery Mildew Disease (Erysiphe necator) in Vineyards

   Agronomy, Vol. 14, Núm. 3

4. Forestry Applications of Space-Borne LiDAR Sensors: A Worldwide Bibliometric Analysis

   Sensors, Vol. 24, Núm. 4

5. Long-Term Monitoring of Inland Water Quality Parameters Using Landsat Time-Series and Back-Propagated ANN: Assessment and Usability in a Real-Case Scenario

   Remote Sensing, Vol. 16, Núm. 1

6. Mapping and Monitoring of the Invasive Species Dichrostachys cinerea (Marabú) in Central Cuba Using Landsat Imagery and Machine Learning (1994–2022)

   Remote Sensing, Vol. 16, Núm. 5

7. Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

   Alexandria Engineering Journal, Vol. 86, pp. 144-156

8. Resilient Strategies for Internet-Based Education: Investigating Engineering Students in the Canary Islands in the Aftermath of COVID-19

   Sustainability (Switzerland), Vol. 16, Núm. 4

9. Scaffolding geospatial epistemic discomfort: a pedagogical framework for cross-disciplinary landscape research

   Journal of Geography in Higher Education

10. Sustainability evaluation, engineering properties and challenges relevant to geopolymer concrete modified with different nanomaterials: A systematic review

    Ain Shams Engineering Journal, Vol. 15, Núm. 2

11. Technical feasibility of lined mining tunnels in closed coal mines as underground reservoirs of compressed air energy storage systems

    Journal of Energy Storage, Vol. 78

12. The mid-latitude hydrolaccolith of the Spanish Central System (Southern Europe): A top-to-bottom integration of geomatic, geophysical and sedimentary datasets for characterising a singular periglacial landform

    Land Degradation and Development, Vol. 35, Núm. 3, pp. 1029-1049

13. To determine the compressive strength of self-compacting recycled aggregate concrete using artificial neural network (ANN)

    Ain Shams Engineering Journal, Vol. 15, Núm. 2

14. Unveiling the Legacy of the Nineteenth Century Riotinto Mining Railway: From Historic Heritage to Thriving Tourist Attraction

    Geoheritage, Vol. 16, Núm. 2