All Stories

  1. Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data

    Article • Engineering Applications of Artificial Intelligence, February 2026, Elsevier

    Jose Delpiano

  2. AST-n: A Fast Sampling Approach for Low-Dose CT Reconstruction Using Diffusion Models

    Article • January 2026, Springer Science + Business Media

    Jose Delpiano

  3. A two-stage deep learning strategy for weed identification in grassfields

    Article • Computers and Electronics in Agriculture, October 2024, Elsevier

    Jose Delpiano

  4. Challenges for computer vision as a tool for screening urban trees through street-view images

    Article • Urban Forestry & Urban Greening, May 2024, Elsevier

    Jose Delpiano

  5. Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Jose Delpiano

  6. Using Image Analysis Techniques for Dust Detection Over Photovoltaic Panels

    Article • January 2024, Elsevier

    Jose Delpiano

  7. Mitigating the effect of dataset shift in clustering

    Article • Pattern Recognition, February 2023, Elsevier

    Jose Delpiano

  8. Experimental Method to Estimate the Density of Passengers on Urban Railway Platforms

    Article • Sustainability, January 2023, MDPI AG

    Jose Delpiano

  9. Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms

    Article • Computers and Electronics in Agriculture, January 2023, Elsevier

    Jose Delpiano

  10. Structural Damage Diagnosis of Wind Turbine Blades Based on Machine Learning Techniques

    Article • January 2023, Springer Science + Business Media

    Jose Delpiano

  11. Classification of multiple-state OAM superpositions using convolutional neural networks

    Article • August 2021, SPIE

    Jose Delpiano

  12. Method for measurement of collagen monomer orientation in fluorescence microscopy

    Article • Journal of Biomedical Optics, July 2021, SPIE

    Jose Delpiano

  13. Multiple Object Tracking for Robust Quantitative Analysis of Passenger Motion While Boarding and Alighting a Metropolitan Train

    Article • IET Conference Proceedings, July 2021, the Institution of Engineering and Technology (the IET)

    Jose Delpiano

  14. Method for measurement of collagen monomer orientation in fluorescence microscopy

    Article • March 2021, SPIE

    Jose Delpiano

  15. The role of moisture transport mechanisms on the performance of lightweight aggregates in internal curing

    Article • Construction and Building Materials, January 2021, Elsevier

    Jose Delpiano

  16. An Analytical Model for Small Signal Stability Analysis in Unbalanced Electrical Power Systems

    Article • Applied Sciences, December 2020, MDPI AG

    Jose Delpiano

  17. Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation

    Article • Computers and Electronics in Agriculture, June 2020, Elsevier

    Jose Delpiano

  18. Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems

    Article • Energies, April 2020, MDPI AG

    Jose Delpiano

  19. Computational tomography and CFD simulation of a biofilter treating a toluene, formaldehyde and benzo[α]pyrene vapor mixture

    Article • Chemosphere, February 2020, Elsevier

    Jose Delpiano

  20. Mechanistic Description of Convective Gas–Liquid Mass Transfer in Biotrickling Filters Using CFD Modeling

    Article • Environmental Science & Technology, December 2019, American Chemical Society (ACS)

    Jose Delpiano

  21. Deep learning for image-based classification of OAM modes in laser beams propagating through convective turbulence

    Article • September 2019, SPIE

    Jose Delpiano

  22. Tuning of Controllers in Power Systems Using a Heuristic-Stochastic Approach

    Article • Energies, June 2019, MDPI AG

    Jose Delpiano

  23. A Dynamic Stochastic Hybrid Model to Represent Significant Wave Height and Wave Period for Marine Energy Representation

    Article • Energies, March 2019, MDPI AG

    Jose Delpiano

  24. Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy

    Article • Journal of Microscopy, April 2018, Wiley

    Dr Martin L Jones , Jose Delpiano

  25. Multi-objective optimization for parameter selection and characterization of optical flow methods

    Article • Applied Soft Computing, September 2016, Elsevier

    Professor Javier Ruiz-del-Solar, Jose Delpiano

  26. Tuning of Power System Stabilizers using Multiobjective Optimization NSGA II

    Article • IEEE Latin America Transactions, August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Jose Delpiano

  27. On the optical flow model selection through metaheuristics

    Article • EURASIP Journal on Image and Video Processing, May 2015, Springer Science + Business Media

    Jose Delpiano

  28. Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments

    Article • August 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Jose Delpiano

  29. Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy

    Article • Machine Vision and Applications, July 2011, Springer Science + Business Media

    Professor Javier Ruiz-del-Solar, Jose Delpiano

  30. Towards dense motion estimation in light and electron microscopy

    Article • March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Javier Ruiz-del-Solar, Jose Delpiano

  31. Self-modeling in humanoid soccer robots

    Article • Robotics and Autonomous Systems, July 2009, Elsevier

    Professor Javier Ruiz-del-Solar, Jose Delpiano

  32. Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design

    Article • Engineering Optimization, October 2006, Taylor & Francis

    Jose Delpiano