Del-Puerto-Flores, J. Alberto
Main Affiliation
Preferred name
Del-Puerto-Flores, J. Alberto
Official Name
Del Puerto Flores, José Alberto
ORCID
0000-0003-4039-1694
Researcher ID
AAR-1386-2020
Scopus Author ID
57206905278
27 results
Now showing 1 - 10 of 27
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Item type:Publication, Neural Network Aided M-PSK Detection in 802.11P V2V OFDM Systems Under ICI Conditions(Institute of Electrical and Electronics Engineers (IEEE), 2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Audio’s Impact on Deep Learning Models: A Comparative Study of EEG-Based Concentration Detection in VR Games(MDPI AG, 2025-10-29); ; ; ; Francisco R. Castillo-SoriaThis study investigates the impact of audio feedback on cognitive performance during VR puzzle games using EEG analysis. Thirty participants played three different VR puzzle games under two conditions (with and without audio) while their brain activity was recorded. To analyze concentration levels and neural engagement patterns, we employed spectral analysis combined with a preprocessing algorithm and an optimized Deep Neural Network (DNN) model. The proposed processing stage integrates feature normalization, automatic labeling based on Principal Component Analysis (PCA), and Gamma band feature extraction, transforming concentration detection into a supervised classification problem. Experimental validation was conducted under the two gaming conditions in order to evaluate the impact of multisensory stimulation on model performance. The results show that the proposed approach significantly outperforms traditional machine learning classifiers (SVM, LR) and baseline deep learning models (DNN, DGCNN), achieving a 97% accuracy in the audio scenario and 83% without audio. These findings confirm that auditory stimulation reinforces neural coherence and improves the discriminability of EEG patterns, while the proposed method maintains a robust performance under less stimulating conditions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Verification of a Probabilistic Model and Optimization in Long-Range Networks(MDPI AG, 2025-02-11); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance optimization of multiple RIS-assisted multiuser MIMO communication systems(Wiley, 2025-05-16) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficient Deep Learning-Based M-PSK Detection for OFDM V2V Systems Using MobileNetV3(MDPI AG, 2026-03-11); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review(2024)11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm(2022); ; ; <jats:p>Sensor networks are deployed in people’s homes to make life easier and more comfortable and secure. They might represent an interesting approach for elderly care as well. This work highlights the benefits of a sensor network implemented in the homes of a group of users between 55 and 75 years old, which encompasses a simple home energy optimization algorithm based on user behavior. We analyze variables related to vital signs to establish users’ comfort and tranquility thresholds. We statistically study the perception of security that users exhibit, differentiating between men and women, examining how it affects the person’s development at home, as well as the reactivity of the sensor algorithm, to optimize its performance. The proposed algorithm is analyzed under certain performance metrics, showing an improvement of 15% over a sensor network under the same conditions. We look at and quantify the usefulness of accurate alerts on each sensor and how it reflects in the users’ perceptions (for men and women separately). This study analyzes a simple, low-cost, and easy-to-implement home-based sensor network optimized with an adaptive energy optimization algorithm to improve the lives of older adults, which is capable of sending alerts of possible accidents or intruders with the highest efficiency.</jats:p>Scopus© Citations 4 47 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Channel Characterization and SC-FDM Modulation for PLC in High-Voltage Power Lines(2022); ; <jats:p>Digital communication over power lines is an active field of research and most studies in this field focus on low-voltage (LV) and medium-voltage (MV) power systems. Nevertheless, as power companies are starting to provide communication services and as smart-grid technologies are being incorporated into power networks, high-voltage (HV) power-line communication has become attractive. The main constraint of conventional HV power-line carrier (PLC) systems is their unfeasibility for being migrated to wideband channels, even with a high signal-to-noise ratio (SNR). In this scenario, none of the current linear/non-linear equalizers used in single carrier schemes achieve the complete compensation of the highly dispersive conditions, which limits their operation to 4 kHz channels. In this paper, a new PLC-channel model is introduced for transmission lines incorporating the effects of the coupling equipment. In addition, the use of the single-carrier frequency-division modulation (SC-FDM) is proposed as a solution to operate PLC systems in a wide bandwidth, achieving transmission speeds above those of the conventional PLC system. The results presented in this paper demonstrate the superior performance of the SC-FDM-PLC over conventional PLC systems, obtaining a higher transmission capacity in 10 to 30 times.</jats:p>Scopus© Citations 2 36 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 1 42 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Neurogaming in Virtual Reality: A Review of Video Game Genres and Cognitive Impact(2024); ; ; Scopus© Citations 1 12
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