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Outputs (28)

DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language (2025)
Journal Article
Venugopal, J. P., Subramanian, A. A. V., Murugan, M., Sundaram, G., Rivera, M., & Wheeler, P. (2025). DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language. Applied Sciences, 15(9), Article 4909. https://doi.org/10.3390/app15094909

The task of image captioning in low-resource languages like Tamil is fraught with challenges due to limited linguistic resources and complex semantic structures. This paper addresses the problem of generating contextually and linguistically coherent... Read More about DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language.

Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System (2025)
Journal Article
De Lucena, L. F. M., Melo, V. F. M. B., Rocha, N., Ferreira, R. D. C., & Rivera, M. (2025). Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System. Eletrônica de Potência, 30, Article e202530. https://doi.org/10.18618/rep.e202530

The expansion of DC microgrids has prompted investigations into wind energy systems to harness the benefits of this configuration.

Therefore, this study aims to analyze and compare the performances of predictive current control (PCC) and predicti... Read More about Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System.

Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks (2025)
Journal Article
Premakumari, S. B. N., Sundaram, G., Rivera, M., Wheeler, P., & Guzmán, R. E. (2025). Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks. Sensors, 25(7), Article 2056. https://doi.org/10.3390/s25072056

The increasing prevalence of cyber threats in wireless sensor networks (WSNs) necessitates adaptive and efficient security mechanisms to ensure robust data transmission while addressing resource constraints. This paper proposes a reinforcement learni... Read More about Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks.

Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications (2025)
Journal Article
Heidari, R., Ali Ghanbari, M., Adib, E., & Rivera, M. (2025). Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications. IEEE Transactions on Power Electronics, 40(7), 9453-9555. https://doi.org/10.1109/TPEL.2025.3542231

In this study, a novel fully soft-switched high step-up dc-dc converter is proposed. The proposed converter comprises the integration of boost and Ćuk converters with the same input inductor and MOSFET, and series-connected output dc-link voltages. I... Read More about Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications.

Enhanced microgrid reliability through software-defined networking and extended horizon predictive control (2025)
Journal Article
Pérez, R., Rivera, M., Araya, B., Gómez, J. S., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2025). Enhanced microgrid reliability through software-defined networking and extended horizon predictive control. Sustainable Energy, Grids and Networks, 42, Article 101635. https://doi.org/10.1016/j.segan.2025.101635

The dynamic nature of power systems combined with the need for low-latency and loss-tolerant communications, presents significant challenges to maintaining system reliability and resiliency. This paper proposes a novel integration of Finite Control S... Read More about Enhanced microgrid reliability through software-defined networking and extended horizon predictive control.

Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape (2025)
Journal Article
Skewes, F., Guzmán, Ó., Cortés, J., & Rivera, M. (2025). Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape. Energy Research and Social Science, 121, Article 103957. https://doi.org/10.1016/j.erss.2025.103957

The Chilean electricity system is undergoing a profound transformation driven by climate goals and the imperative to reduce greenhouse gas emissions. This transition, characterized by significant state intervention and regulatory reforms, addresses t... Read More about Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape.

Investigation of PWM Techniques for High-Frequency Harmonics Loss Performance in Dual-Three Phase Asymmetrical Machines (2025)
Journal Article
Wang, S., Rivera, M., Golovanov, D., Blissett, J., Moran, J., Davison, P., G., R., Gerada, C., & Wheeler, P. (2025). Investigation of PWM Techniques for High-Frequency Harmonics Loss Performance in Dual-Three Phase Asymmetrical Machines. IEEE Transactions on Industrial Electronics, https://doi.org/10.1109/TIE.2025.3532720

Dual three-phase asymmetrical machines are more sensitive to voltage pulses from pulse width modulation (PWM) compared to conventional three-phase machines. This sensitivity results in substantial current harmonics, which cause increased machine loss... Read More about Investigation of PWM Techniques for High-Frequency Harmonics Loss Performance in Dual-Three Phase Asymmetrical Machines.

A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response (2025)
Journal Article
Chen, W., Sun, H., You, M., Jiang, J., & Rivera, M. (2025). A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response. Energies, 18(4), Article 833. https://doi.org/10.3390/en18040833

Within smart homes, consumers could generate a vast amount of data that, if analyzed effectively, can improve the convenience of consumers and reduce energy consumption. In this paper, we propose to organize household appliance data into a knowledge... Read More about A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response.

An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive (2024)
Journal Article
Wang, S., Rivera, M., Gerada, C., Wheeler, P., & Lophitis, N. (2025). An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive. IEEE Transactions on Industrial Electronics, 72(7), 6659-6668. https://doi.org/10.1109/tie.2024.3493173

Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the dq-axis current references. Addressing the complexities... Read More about An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive.

Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm (2024)
Journal Article
Sreeja, B. N. P., Sundaram, G., Rivera, M., & Wheeler, P. (2024). Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm. Sensors, 24(24), Article 7893. https://doi.org/10.3390/s24247893

The accuracy of node localization plays a crucial role in the performance and reliability of wireless sensor networks (WSNs), which are widely utilized in fields like security systems and environmental monitoring. The integrity of these networks is o... Read More about Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm.