idUS - Perfil del autor: Carranza García, Manuel

Autorice su foto

Nombre	Carranza García, Manuel
Departamento	Lenguajes y Sistemas Informáticos
Área de conocimiento	Lenguajes y Sistemas Informáticos
Categoría profesional	Profesor Ayudante Doctor
Correo electrónico	Solicitar

Nº publicaciones

19
Nº visitas

1383
Nº descargas

3980

Tipología

Orden

Publicaciones
Capítulo de Libro Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo Martínez Ballesteros, María del Mar; Jiménez Navarro, Manuel Jesús; Carranza García, Manuel; Gutiérrez Avilés, David; Martínez Ballesteros, María del Mar (Dykinson, 2024) Para ayudar a la integración de todos los desarrollos individuales existen herramientas de control de versiones como ...
Artículo Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation Salazar González, José Luis; Luna Romera, José María; Carranza García, Manuel; Álvarez García, Juan Antonio; Soria Morillo, Luis Miguel (IOS Press, 2024) The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new ...
Artículo An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market Luna Romera, José María; Carranza García, Manuel; Arcos Vargas, Ángel; Riquelme Santos, José Cristóbal (Elsevier, 2024) CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ...
Artículo A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case Riquelme Domínguez, José Miguel; Carranza García, Manuel; Lara Benítez, Pedro; González Longatt, Francisco (Elsevier, 2023) The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ...
Ponencia Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation Jiménez Navarro, Manuel Jesús; Vega Márquez, Belén; Luna Romera, José María; Carranza García, Manuel; Martínez Ballesteros, María del Mar (Springer Link, 2023) The quality of university teaching is essential for the success of students and the academic excellence of an educational ...
Artículo Short-term solar irradiance forecasting in streaming with deep learning Lara Benítez, Pedro; Carranza García, Manuel; Luna Romera, José María; Riquelme Santos, José Cristóbal (Elsevier, 2023) Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ...
Tesis Doctoral Deep learning for enhancing object detection in autonomous driving Carranza García, Manuel; Riquelme Santos, José Cristóbal; García Gutiérrez, Jorge (2022) Autonomous driving is one of the most important technological challenges of this century. Its development will revolutionize ...
Ponencia Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation Cabello López, Tomás; Cañizares Juan, Manuel; Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Springer, 2022) Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of ...
Artículo Object detection using depth completion and camera-LiDAR fusion for autonomous driving Carranza García, Manuel; Galán Sales, Francisco Javier; Luna Romera, José María; Riquelme Santos, José Cristóbal (IOS Press, 2022) Autonomous vehicles are equipped with complimentary sensors to perceive the environment accurately. Deep learning models ...
Artículo Data streams classification using deep learning under different speeds and drifts Lara Benítez, Pedro; Carranza García, Manuel; Gutiérrez Avilés, David; Riquelme Santos, José Cristóbal (Oxford University Press, 2022) Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ...
Artículo Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance Carranza García, Manuel; Lara Benítez, Pedro; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (ScienceDirect, 2021) Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
Artículo An Experimental Review on Deep Learning Architectures for Time Series Forecasting Lara Benítez, Pedro; Carranza García, Manuel; Riquelme Santos, José Cristóbal (World Scientific, 2021) In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ...
Artículo On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data Carranza García, Manuel; Torres Mateo, Jesús; Lara Benítez, Pedro; García Gutiérrez, Jorge (MDPI, 2021) Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many ...
Artículo Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance Carranza García, Manuel; Lara Benítez, Pedro; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2021) Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
Ponencia Evaluation of the transformer architecture for univariate time series forecasting Lara Benítez, Pedro; Gallego Ledesma, Luis; Carranza García, Manuel; Luna Romera, José María (Springer, 2021) The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this ...
Artículo Asynchronous dual-pipeline deep learning framework for online data stream classification Lara Benítez, Pedro; Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (IOS Press, 2020) Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ...
Ponencia On the performance of deep learning models for time series classification in streaming Lara Benítez, Pedro; Carranza García, Manuel; Martínez Álvarez, Francisco; Riquelme Santos, José Cristóbal (Springer, 2020) Processing data streams arriving at high speed requires the development of models that can provide fast and accurate ...
Artículo Temporal convolutional networks applied to energy-related time series forecasting Lara Benítez, Pedro; Carranza García, Manuel; Luna Romera, José María; Riquelme Santos, José Cristóbal (MDPI, 2020) Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ...
Artículo A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (MDPI, 2019) Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ...