Calimanut Ionut Cira at Universidad Politécnica de Madrid - Research Interests, Publications & Academic Profile

Calimanut Ionut Cira

Assistant Professor

Universidad Politécnica de Madrid

Spain

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Research Interests

Cartography

30%

Meteorology

40%

Computer Vision

60%

Road Engineering

40%

Aerial Photography

40%

Terrain Analysis

40%

Deep Learning

30%

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Articles18

Insights into the Effects of Tile Size and Tile Overlap Levels on Semantic Segmentation Models Trained for Road Surface Area Extraction from Aerial Orthophotography

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Year:

2024

Three Novel Artificial Neural Network Architectures Based on Convolutional Neural Networks for the Spatio-Temporal Processing of Solar Forecasting Data

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Year:

2024

Impact of Stationarizing Solar Inputs on Very-Short-Term Spatio-Temporal Global Horizontal Irradiance (GHI) Forecasting

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Year:

2024

Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification

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Year:

2024

BERT (Bidirectional Encoder Representations from Transformers) for Missing Data Imputation in Solar Irradiance Time Series

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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)

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Year:

2023

Convolutional Neural Networks Adapted for Regression Tasks: Predicting the Orientation of Straight Arrows on Marked Road Pavement Using Deep Learning and Rectified Orthophotography

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Year:

2023

Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale

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Year:

2023

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

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Year:

2023

Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance

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Year:

2023

Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations

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Year:

2022

Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX)

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Year:

2022

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

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Year:

2022

Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Road Surface Areas

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Year:

2021

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

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Year:

2021

Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures

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Year:

2020

Collaborators9

FRANCISCO SERRADILLA GARCIA

Universidad Politécnica de Madrid

SPAIN

Ramon Alcarria

Associate Professor

Universidad Politécnica de Madrid

SPAIN

Alberto Díaz Álvarez

Profesor Contratado Doctor

Universidad Politécnica de Madrid

SPAIN

Borja Bordel Sánchez

Universidad Politécnica de Madrid

SPAIN

Teresa Iturrioz

Universidad Politécnica de Madrid

SPAIN

Miguel-Ángel Manso-Callejo

Universidad Politécnica de Madrid

SPAIN

yijian zeng

University of Twente

NETHERLANDS

JOSE JUAN ARRANZ JUSTEL

Universidad Politécnica de Madrid

SPAIN

Zhongbo Su

University of Twente

NETHERLANDS

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