Author profile: Carranza García, Manuel
Institutional data
Name | Carranza García, Manuel |
Department | Lenguajes y Sistemas Informáticos |
Knowledge area | Lenguajes y Sistemas Informáticos |
Professional category | Profesor Ayudante Doctor |
Request | |
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Statistics
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No. publications
19
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No. visits
1398
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No. downloads
3989
Publications |
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Chapter of Book
![]() Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo
(Dykinson, 2024)
Para ayudar a la integración de todos los desarrollos individuales existen herramientas de control de versiones como ... |
Article
![]() Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
(IOS Press, 2024)
The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new ... |
Article
![]() An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
(Elsevier, 2024)
CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ... |
Article
![]() A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
(Elsevier, 2023)
The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ... |
Presentation
![]() Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
(Springer Link, 2023)
The quality of university teaching is essential for the success of students and the academic excellence of an educational ... |
Article
![]() Short-term solar irradiance forecasting in streaming with deep learning
(Elsevier, 2023)
Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ... |
PhD Thesis
![]() Deep learning for enhancing object detection in autonomous driving
(2022)
Autonomous driving is one of the most important technological challenges of this century. Its development will revolutionize ... |
Presentation
![]() Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
(Springer, 2022)
Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of ... |
Article
![]() Object detection using depth completion and camera-LiDAR fusion for autonomous driving
(IOS Press, 2022)
Autonomous vehicles are equipped with complimentary sensors to perceive the environment accurately. Deep learning models ... |
Article
![]() Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ... |
Article
![]() Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(ScienceDirect, 2021)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ... |
Article
![]() An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ... |
Article
![]() On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
(MDPI, 2021)
Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many ... |
Article
![]() Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(Elsevier, 2021)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ... |
Presentation
![]() Evaluation of the transformer architecture for univariate time series forecasting
(Springer, 2021)
The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this ... |
Article
![]() Asynchronous dual-pipeline deep learning framework for online data stream classification
(IOS Press, 2020)
Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ... |
Presentation
![]() On the performance of deep learning models for time series classification in streaming
(Springer, 2020)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate ... |
Article
![]() Temporal convolutional networks applied to energy-related time series forecasting
(MDPI, 2020)
Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ... |
Article
![]() A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
(MDPI, 2019)
Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ... |