Showing 1 - 17 results of 17 for search 'Calimanut-Ionut Cira', query time: 0.06s Refine Results
  1. 1
    BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series

    BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series by Llinet Benavides Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira

    Published 2023-06-01
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  2. 2
    Three Novel Artificial Neural Network Architectures Based on Convolutional Neural Networks for the Spatio-Temporal Processing of Solar Forecasting Data

    Three Novel Artificial Neural Network Architectures Based on Convolutional Neural Networks for the Spatio-Temporal Processing of Solar Forecasting Data by Llinet Benavides Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira

    Published 2024-07-01
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  3. 3
    Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance

    Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance by Llinet Benavides Cesar, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira

    Published 2023-12-01
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  4. 4
    A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery

    A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery by Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla

    Published 2020-10-01
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  5. 5
    A Deep Convolutional Neural Network to Detect the Existence of Geospatial Elements in High-Resolution Aerial Imagery

    A Deep Convolutional Neural Network to Detect the Existence of Geospatial Elements in High-Resolution Aerial Imagery by Calimanut-Ionut Cira, Ramon Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla

    Published 2019-07-01
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  6. 6
    CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain)

    CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain) by Llinet Benavides Cesar, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira, Ramon Alcarria

    Published 2023-03-01
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  7. 7
    Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX)

    Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX) by Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Alicia González-Jiménez, José-Javier Querol-Pascual

    Published 2022-06-01
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  8. 8
    Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification

    Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification by Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Naoto Yokoya, Tudor Sălăgean, Ana-Cornelia Badea

    Published 2024-07-01
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  9. 9
    Impact of Stationarizing Solar Inputs on Very-Short-Term Spatio-Temporal Global Horizontal Irradiance (GHI) Forecasting

    Impact of Stationarizing Solar Inputs on Very-Short-Term Spatio-Temporal Global Horizontal Irradiance (GHI) Forecasting by Rodrigo Amaro e Silva, Llinet Benavides Cesar, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira

    Published 2024-07-01
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  10. 10
    Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates

    Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates by Llinet Benavides Cesar, Rodrigo Amaro e Silva, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira

    Published 2022-06-01
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  11. 11
    Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

    Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations by Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sanchez

    Published 2022-01-01
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  12. 12
    Insights into the Effects of Tile Size and Tile Overlap Levels on Semantic Segmentation Models Trained for Road Surface Area Extraction from Aerial Orthophotography

    Insights into the Effects of Tile Size and Tile Overlap Levels on Semantic Segmentation Models Trained for Road Surface Area Extraction from Aerial Orthophotography by Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramon Alcarria, Teresa Iturrioz, José-Juan Arranz-Justel

    Published 2024-08-01
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  13. 13
    First Dataset of Wind Turbine Data Created at National Level With Deep Learning Techniques From Aerial Orthophotographs With a Spatial Resolution of 0.5 M/Pixel

    First Dataset of Wind Turbine Data Created at National Level With Deep Learning Techniques From Aerial Orthophotographs With a Spatial Resolution of 0.5 M/Pixel by Miguel-Angel Manso-Callejo, Calimanut-Ionut Cira, Ramon Pablo Alcarria Garrido, Francisco Javier Gonzalez Matesanz

    Published 2021-01-01
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  14. 14
    State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning

    State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semant... by Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Javier González Matesanz

    Published 2023-04-01
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  15. 15
    Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results

    Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results by Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, José-Juan Arranz-Justel, Izar Sinde-González, Tudor Sălăgean

    Published 2023-12-01
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  16. 16
    Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Road Surface Areas

    Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Roa... by Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Teresa Fernández Pareja, Borja Bordel Sánchez, Francisco Serradilla

    Published 2021-01-01
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  17. 17
    Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems

    Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems by Mircea-Emil Nap, Silvia Chiorean, Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Vlad Păunescu, Elemer-Emanuel Șuba, Tudor Sălăgean

    Published 2023-06-01
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