Outputs (1003)

A Novel Family of Four-Port Three-Phase DC–AC Converter and Its Carrier-Based PWM Strategy (2024)
Journal Article
Li, C., Wang, R., Liu, H., Wheeler, P., Wu, F., & Xiong, Z. (2025). A Novel Family of Four-Port Three-Phase DC–AC Converter and Its Carrier-Based PWM Strategy. IEEE Transactions on Power Electronics, 40(4), 5130-5146. https://doi.org/10.1109/tpel.2024.3515052

A novel family of four-port three-phase dc–ac converter (FPTPC) topology is proposed in this article, which has two dc ports and two three-phase ac ports. It can be combined with dc–dc to form the quasi-single-stage FPTPC whose low voltage dc port vo... Read More about A Novel Family of Four-Port Three-Phase DC–AC Converter and Its Carrier-Based PWM Strategy.

The Mitotic Chromosome Periphery: A Fluid Coat That Mediates Chromosome Mechanics (2024)
Preprint / Working Paper
Mendonca, T., Urban, R., Lucken, K., Coney, G., Tassieri, M., Kad, N. M., Wright, A. J., & Booth, D. G. (2024). The Mitotic Chromosome Periphery: A Fluid Coat That Mediates Chromosome Mechanics

Passive In-Slot Heat Path Realisation for Extending the Operating Limits of an Aircraft Propulsion Motor (2024)
Journal Article
Hebala, A., Nuzzo, S., H. Connor, P., Gerada, C., & Galea, M. (2025). Passive In-Slot Heat Path Realisation for Extending the Operating Limits of an Aircraft Propulsion Motor. IEEE Transactions on Transportation Electrification, 11(2), 6952-6961. https://doi.org/10.1109/TTE.2024.3520380

This paper studies the combined thermal and electrical characteristics of different in-slot conductive heat path materials and shapes to reduce the winding hotspot temperature and improve electrical motors’ output power and performance. Combinations... Read More about Passive In-Slot Heat Path Realisation for Extending the Operating Limits of an Aircraft Propulsion Motor.

Techno-economic analysis of green hydrogen integration in smart grids: Pathways to sustainable energy systems (2024)
Journal Article
Shahzad, S., Alsenani, T. R., Kilic, H., & Wheeler, P. (2025). Techno-economic analysis of green hydrogen integration in smart grids: Pathways to sustainable energy systems. International Journal of Hydrogen Energy, 143, Article 989-999. https://doi.org/10.1016/j.ijhydene.2024.12.248

This study conducts a comprehensive techno-economic analysis of green hydrogen integration in smart grids, highlighting its potential to transform energy systems. Green hydrogen, produced via water electrolysis using renewable sources like wind and s... Read More about Techno-economic analysis of green hydrogen integration in smart grids: Pathways to sustainable energy systems.

Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach (2024)
Journal Article
Liu, X., Figueredo, G. P., Gordon, G. S., & Thermou, G. E. (2025). Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach. Engineering Structures, 325, Article 119485. https://doi.org/10.1016/j.engstruct.2024.119485

Fabric Reinforced Cementitious Matrix (FRCM) is an effective intervention method for improving the shear strength of existing reinforced concrete (RC) beams, yet predictive analyses are scarce. This study introduces and compares nine machine learning... Read More about Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach.

Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones (2024)
Journal Article
Sarajian, A., Guan, Q., Harbi, I., Khaburi, D. A., Kennel, R., Garcia, C., Wheeler, P., & Rodriguez, J. (2025). Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones. IEEE Open Journal of Power Electronics, 6, 66-77. https://doi.org/10.1109/OJPEL.2024.3512855

Modulated Model Predictive Control (MMPC) techniques can be applied to enhance matrix converter (MC) performance in the linear modulation zone (LMZ). However, extending the converter operation in the overmodulation zone (OMZ) remains a problem. A key... Read More about Enhanced Modulated Model Predictive Control for Matrix Converters in Overmodulation Zones.

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.

A Parallel Input and Versatile Output Dual Active Bridge Converter (2024)
Journal Article
Qazi, S., Venugopal, P., Watson, A. J., Wheeler, P., & Soeiro, T. B. (2025). A Parallel Input and Versatile Output Dual Active Bridge Converter. IEEE Transactions on Power Electronics, 40(4), 6203-6215. https://doi.org/10.1109/tpel.2024.3509529

Due to their easy scalability to high power, simple control mechanism, and effective semiconductor and transformer utilization, H-bridge-derived isolated dc/dc converters have taken a central stage in various power electronics applications such as fa... Read More about A Parallel Input and Versatile Output Dual Active Bridge Converter.

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.

A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data (2024)
Journal Article
Venugopal, J. P., Subramanian, A. A. V., Sundaram, G., Rivera, M., & Wheeler, P. (2024). A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data. Applied Sciences, 14(23), Article 11471. https://doi.org/10.3390/app142311471

Sentiment analysis is a vital component of natural language processing (NLP), enabling the classification of text into positive, negative, or neutral sentiments. It is widely used in customer feedback analysis and social media monitoring but faces a... Read More about A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data.